diff --git a/404.html b/404.html
index 95dc88c..0e25863 100644
--- a/404.html
+++ b/404.html
@@ -10,7 +10,7 @@
 <link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
 <script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous">
 <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous">
-<!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="Page not found (404)">
+<!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="Page not found (404)">
 <!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
 <script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
 <script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
@@ -20,7 +20,7 @@
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
     
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="index.html">CECPfuns</a>
 
@@ -72,13 +72,11 @@
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p>
-<p>Developed by Chris Evans.</p>
+  <p>Developed by Chris Evans.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p>
-<p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
 </div>
 
     </footer>
diff --git a/CODE_OF_CONDUCT.html b/CODE_OF_CONDUCT.html
index 6fbd30d..82ab5d5 100644
--- a/CODE_OF_CONDUCT.html
+++ b/CODE_OF_CONDUCT.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Contributor Covenant Code of Conduct • CECPfuns</title><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="Contributor Covenant Code of Conduct"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Contributor Covenant Code of Conduct • CECPfuns</title><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="Contributor Covenant Code of Conduct"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
 <script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
 <script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
 <![endif]--></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
     
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="index.html">CECPfuns</a>
 
@@ -120,11 +120,11 @@ <h2 id="attribution">Attribution<a class="anchor" aria-label="anchor" href="#att
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Chris Evans.</p>
+  <p>Developed by Chris Evans.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
 </div>
 
     </footer></div>
diff --git a/CONTRIBUTING.html b/CONTRIBUTING.html
index 810fdd4..38d4de8 100644
--- a/CONTRIBUTING.html
+++ b/CONTRIBUTING.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>NA • CECPfuns</title><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="NA"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>NA • CECPfuns</title><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="NA"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
 <script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
 <script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
 <![endif]--></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
     
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="index.html">CECPfuns</a>
 
@@ -59,11 +59,11 @@
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Chris Evans.</p>
+  <p>Developed by Chris Evans.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
 </div>
 
     </footer></div>
diff --git a/LICENSE-text.html b/LICENSE-text.html
index 4808ae7..5d2f42f 100644
--- a/LICENSE-text.html
+++ b/LICENSE-text.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>License • CECPfuns</title><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="License"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>License • CECPfuns</title><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="License"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
 <script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
 <script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
 <![endif]--></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
     
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="index.html">CECPfuns</a>
 
@@ -55,11 +55,11 @@
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Chris Evans.</p>
+  <p>Developed by Chris Evans.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
 </div>
 
     </footer></div>
diff --git a/LICENSE.html b/LICENSE.html
index 7c88632..e7171d1 100644
--- a/LICENSE.html
+++ b/LICENSE.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>MIT License • CECPfuns</title><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="MIT License"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>MIT License • CECPfuns</title><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="MIT License"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
 <script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
 <script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
 <![endif]--></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
     
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="index.html">CECPfuns</a>
 
@@ -59,11 +59,11 @@
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Chris Evans.</p>
+  <p>Developed by Chris Evans.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
 </div>
 
     </footer></div>
diff --git a/articles/Background.html b/articles/Background.html
index e4d8557..41ad523 100644
--- a/articles/Background.html
+++ b/articles/Background.html
@@ -11,7 +11,7 @@
 <link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
 <script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous">
 <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous">
-<!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Background">
+<!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Background">
 <meta property="og:description" content="CECPfuns">
 <!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
 <script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
@@ -22,7 +22,7 @@
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
     
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">CECPfuns</a>
 
@@ -131,13 +131,11 @@ <h2 id="who-are-we">Who are we?<a class="anchor" aria-label="anchor" href="#who-
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p>
-<p>Developed by Chris Evans.</p>
+  <p>Developed by Chris Evans.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p>
-<p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
 </div>
 
     </footer>
diff --git a/articles/Bootstrapping.html b/articles/Bootstrapping.html
index 86e2311..a55ae7f 100644
--- a/articles/Bootstrapping.html
+++ b/articles/Bootstrapping.html
@@ -11,7 +11,7 @@
 <link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
 <script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous">
 <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous">
-<!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Bootstrapping">
+<!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Bootstrapping">
 <meta property="og:description" content="CECPfuns">
 <!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
 <script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
@@ -22,7 +22,7 @@
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
     
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">CECPfuns</a>
 
@@ -141,13 +141,11 @@ <h2 id="bootstrapping-and-confidence-intervals">Bootstrapping and confidence int
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p>
-<p>Developed by Chris Evans.</p>
+  <p>Developed by Chris Evans.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p>
-<p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
 </div>
 
     </footer>
diff --git a/articles/Introduction.html b/articles/Introduction.html
index 93e18be..9d8b96c 100644
--- a/articles/Introduction.html
+++ b/articles/Introduction.html
@@ -11,7 +11,7 @@
 <link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
 <script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous">
 <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous">
-<!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Introduction">
+<!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Introduction">
 <meta property="og:description" content="CECPfuns">
 <!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
 <script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
@@ -22,7 +22,7 @@
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
     
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">CECPfuns</a>
 
@@ -348,13 +348,11 @@ <h2 id="to-do-list">To do list!<a class="anchor" aria-label="anchor" href="#to-d
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p>
-<p>Developed by Chris Evans.</p>
+  <p>Developed by Chris Evans.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p>
-<p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
 </div>
 
     </footer>
diff --git a/articles/RCSC_framework.html b/articles/RCSC_framework.html
index ac6851c..e3607a7 100644
--- a/articles/RCSC_framework.html
+++ b/articles/RCSC_framework.html
@@ -11,7 +11,7 @@
 <link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
 <script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous">
 <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous">
-<!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="RCSC_framework">
+<!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="RCSC_framework">
 <meta property="og:description" content="CECPfuns">
 <!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
 <script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
@@ -22,7 +22,7 @@
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
     
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">CECPfuns</a>
 
@@ -89,13 +89,11 @@ <h2 id="the-rcsc-framework">The RCSC framework<a class="anchor" aria-label="anch
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p>
-<p>Developed by Chris Evans.</p>
+  <p>Developed by Chris Evans.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p>
-<p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
 </div>
 
     </footer>
diff --git a/articles/index.html b/articles/index.html
index 4130063..3b43666 100644
--- a/articles/index.html
+++ b/articles/index.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Articles • CECPfuns</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Articles"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Articles • CECPfuns</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Articles"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
 <script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
 <script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
 <![endif]--></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
     
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">CECPfuns</a>
 
@@ -48,7 +48,7 @@
 
     <div class="section ">
       <h3>All vignettes</h3>
-      <p class="section-desc"></p>
+      <div class="section-desc"></div>
 
       <dl><dt><a href="Background.html">Background</a></dt>
         <dd>
@@ -63,11 +63,11 @@ <h3>All vignettes</h3>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Chris Evans.</p>
+  <p>Developed by Chris Evans.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
 </div>
 
     </footer></div>
diff --git a/authors.html b/authors.html
index 974a442..86373b8 100644
--- a/authors.html
+++ b/authors.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Authors and Citation • CECPfuns</title><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="Authors and Citation"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Authors and Citation • CECPfuns</title><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="Authors and Citation"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
 <script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
 <script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
 <![endif]--></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
     
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="index.html">CECPfuns</a>
 
@@ -83,11 +83,11 @@ <h2 id="citation">Citation</h2>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Chris Evans.</p>
+  <p>Developed by Chris Evans.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
 </div>
 
     </footer></div>
diff --git a/deps/bootstrap-5.3.1/bootstrap.min.css b/deps/bootstrap-5.3.1/bootstrap.min.css
index b174f93..d944a2a 100644
--- a/deps/bootstrap-5.3.1/bootstrap.min.css
+++ b/deps/bootstrap-5.3.1/bootstrap.min.css
@@ -1,5 +1,5 @@
-@import url("font.css");:root{--bslib-bootstrap-version: 5;--bslib-preset-name: shiny;--bslib-preset-type: builtin}/*!
+:root{--bslib-bootstrap-version: 5;--bslib-preset-name: ;--bslib-preset-type: }/*!
    * Bootstrap  v5.3.1 (https://getbootstrap.com/)
    * Copyright 2011-2023 The Bootstrap Authors
    * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)
-   */:root,[data-bs-theme="light"]{--bs-blue: #007bc2;--bs-indigo: #4b00c1;--bs-purple: #74149c;--bs-pink: #bf007f;--bs-red: #c10000;--bs-orange: #f45100;--bs-yellow: #f9b928;--bs-green: #00891a;--bs-teal: #00bf7f;--bs-cyan: #03c7e8;--bs-black: #000;--bs-white: #fff;--bs-gray: #707782;--bs-gray-dark: #343A46;--bs-gray-100: #f8f8f8;--bs-gray-200: #e9ecef;--bs-gray-300: #dee2e6;--bs-gray-400: #cdd4da;--bs-gray-500: #8D959E;--bs-gray-600: #707782;--bs-gray-700: #48505F;--bs-gray-800: #343A46;--bs-gray-900: #1D1F21;--bs-default: #dee2e6;--bs-primary: #007bc2;--bs-secondary: #404040;--bs-success: #00891a;--bs-info: #03c7e8;--bs-warning: #f9b928;--bs-danger: #c10000;--bs-light: #f8f8f8;--bs-dark: #202020;--bs-default-rgb: 222,226,230;--bs-primary-rgb: 0,123,194;--bs-secondary-rgb: 64,64,64;--bs-success-rgb: 0,137,26;--bs-info-rgb: 3,199,232;--bs-warning-rgb: 249,185,40;--bs-danger-rgb: 193,0,0;--bs-light-rgb: 248,248,248;--bs-dark-rgb: 32,32,32;--bs-primary-text-emphasis: 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.5rem;--bs-btn-font-size:.875rem;--bs-btn-border-radius: var(--bs-border-radius-sm)}.fade{transition:opacity 0.15s linear}@media (prefers-reduced-motion: reduce){.fade{transition:none}}.fade:not(.show){opacity:0}.collapse:not(.show){display:none}.collapsing{height:0;overflow:hidden;transition:height 0.35s ease}@media (prefers-reduced-motion: reduce){.collapsing{transition:none}}.collapsing.collapse-horizontal{width:0;height:auto;transition:width 0.35s ease}@media (prefers-reduced-motion: reduce){.collapsing.collapse-horizontal{transition:none}}.dropup,.dropend,.dropdown,.dropstart,.dropup-center,.dropdown-center{position:relative}.dropdown-toggle{white-space:nowrap}.dropdown-toggle::after{display:inline-block;margin-left:.255em;vertical-align:.255em;content:"";border-top:.3em solid;border-right:.3em solid transparent;border-bottom:0;border-left:.3em solid transparent}.dropdown-toggle:empty::after{margin-left:0}.dropdown-menu{--bs-dropdown-zindex: 1000;--bs-dropdown-min-width: 10rem;--bs-dropdown-padding-x: 0;--bs-dropdown-padding-y: .5rem;--bs-dropdown-spacer: .125rem;--bs-dropdown-font-size:1rem;--bs-dropdown-color: var(--bs-body-color);--bs-dropdown-bg: var(--bs-body-bg);--bs-dropdown-border-color: var(--bs-border-color-translucent);--bs-dropdown-border-radius: var(--bs-border-radius);--bs-dropdown-border-width: var(--bs-border-width);--bs-dropdown-inner-border-radius: calc(var(--bs-border-radius) - var(--bs-border-width));--bs-dropdown-divider-bg: var(--bs-border-color-translucent);--bs-dropdown-divider-margin-y: .5rem;--bs-dropdown-box-shadow: 0px 1px 2px RGBA(var(--bslib-box-shadow-color-rgb), 0.1),0px 3px 7px RGBA(var(--bslib-box-shadow-color-rgb), 0.1),0px 12px 30px RGBA(var(--bslib-box-shadow-color-rgb), 0.08);--bs-dropdown-link-color: var(--bs-body-color);--bs-dropdown-link-hover-color: var(--bs-body-color);--bs-dropdown-link-hover-bg: var(--bs-tertiary-bg);--bs-dropdown-link-active-color: #fff;--bs-dropdown-link-active-bg: #007bc2;--bs-dropdown-link-disabled-color: var(--bs-tertiary-color);--bs-dropdown-item-padding-x: 1rem;--bs-dropdown-item-padding-y: .25rem;--bs-dropdown-header-color: #707782;--bs-dropdown-header-padding-x: 1rem;--bs-dropdown-header-padding-y: .5rem;position:absolute;z-index:var(--bs-dropdown-zindex);display:none;min-width:var(--bs-dropdown-min-width);padding:var(--bs-dropdown-padding-y) var(--bs-dropdown-padding-x);margin:0;font-size:var(--bs-dropdown-font-size);color:var(--bs-dropdown-color);text-align:left;list-style:none;background-color:var(--bs-dropdown-bg);background-clip:padding-box;border:var(--bs-dropdown-border-width) solid var(--bs-dropdown-border-color);border-radius:var(--bs-dropdown-border-radius)}.dropdown-menu[data-bs-popper]{top:100%;left:0;margin-top:var(--bs-dropdown-spacer)}.dropdown-menu-start{--bs-position: start}.dropdown-menu-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-end{--bs-position: end}.dropdown-menu-end[data-bs-popper]{right:0;left:auto}@media (min-width: 576px){.dropdown-menu-sm-start{--bs-position: start}.dropdown-menu-sm-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-sm-end{--bs-position: end}.dropdown-menu-sm-end[data-bs-popper]{right:0;left:auto}}@media (min-width: 768px){.dropdown-menu-md-start{--bs-position: start}.dropdown-menu-md-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-md-end{--bs-position: end}.dropdown-menu-md-end[data-bs-popper]{right:0;left:auto}}@media (min-width: 992px){.dropdown-menu-lg-start{--bs-position: start}.dropdown-menu-lg-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-lg-end{--bs-position: end}.dropdown-menu-lg-end[data-bs-popper]{right:0;left:auto}}@media (min-width: 1200px){.dropdown-menu-xl-start{--bs-position: start}.dropdown-menu-xl-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-xl-end{--bs-position: end}.dropdown-menu-xl-end[data-bs-popper]{right:0;left:auto}}@media (min-width: 1400px){.dropdown-menu-xxl-start{--bs-position: start}.dropdown-menu-xxl-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-xxl-end{--bs-position: end}.dropdown-menu-xxl-end[data-bs-popper]{right:0;left:auto}}.dropup .dropdown-menu[data-bs-popper]{top:auto;bottom:100%;margin-top:0;margin-bottom:var(--bs-dropdown-spacer)}.dropup .dropdown-toggle::after{display:inline-block;margin-left:.255em;vertical-align:.255em;content:"";border-top:0;border-right:.3em solid transparent;border-bottom:.3em solid;border-left:.3em solid transparent}.dropup .dropdown-toggle:empty::after{margin-left:0}.dropend .dropdown-menu[data-bs-popper]{top:0;right:auto;left:100%;margin-top:0;margin-left:var(--bs-dropdown-spacer)}.dropend .dropdown-toggle::after{display:inline-block;margin-left:.255em;vertical-align:.255em;content:"";border-top:.3em solid transparent;border-right:0;border-bottom:.3em solid transparent;border-left:.3em solid}.dropend .dropdown-toggle:empty::after{margin-left:0}.dropend .dropdown-toggle::after{vertical-align:0}.dropstart .dropdown-menu[data-bs-popper]{top:0;right:100%;left:auto;margin-top:0;margin-right:var(--bs-dropdown-spacer)}.dropstart .dropdown-toggle::after{display:inline-block;margin-left:.255em;vertical-align:.255em;content:""}.dropstart .dropdown-toggle::after{display:none}.dropstart .dropdown-toggle::before{display:inline-block;margin-right:.255em;vertical-align:.255em;content:"";border-top:.3em solid transparent;border-right:.3em solid;border-bottom:.3em solid transparent}.dropstart .dropdown-toggle:empty::after{margin-left:0}.dropstart .dropdown-toggle::before{vertical-align:0}.dropdown-divider{height:0;margin:var(--bs-dropdown-divider-margin-y) 0;overflow:hidden;border-top:1px solid var(--bs-dropdown-divider-bg);opacity:1}.dropdown-item{display:block;width:100%;padding:var(--bs-dropdown-item-padding-y) var(--bs-dropdown-item-padding-x);clear:both;font-weight:400;color:var(--bs-dropdown-link-color);text-align:inherit;text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;white-space:nowrap;background-color:transparent;border:0;border-radius:var(--bs-dropdown-item-border-radius, 0)}.dropdown-item:hover,.dropdown-item:focus{color:var(--bs-dropdown-link-hover-color);background-color:var(--bs-dropdown-link-hover-bg)}.dropdown-item.active,.dropdown-item:active{color:var(--bs-dropdown-link-active-color);text-decoration:none;background-color:var(--bs-dropdown-link-active-bg)}.dropdown-item.disabled,.dropdown-item:disabled{color:var(--bs-dropdown-link-disabled-color);pointer-events:none;background-color:transparent}.dropdown-menu.show{display:block}.dropdown-header{display:block;padding:var(--bs-dropdown-header-padding-y) var(--bs-dropdown-header-padding-x);margin-bottom:0;font-size:.875rem;color:var(--bs-dropdown-header-color);white-space:nowrap}.dropdown-item-text{display:block;padding:var(--bs-dropdown-item-padding-y) var(--bs-dropdown-item-padding-x);color:var(--bs-dropdown-link-color)}.dropdown-menu-dark{--bs-dropdown-color: #dee2e6;--bs-dropdown-bg: #343A46;--bs-dropdown-border-color: var(--bs-border-color-translucent);--bs-dropdown-box-shadow: ;--bs-dropdown-link-color: #dee2e6;--bs-dropdown-link-hover-color: #fff;--bs-dropdown-divider-bg: var(--bs-border-color-translucent);--bs-dropdown-link-hover-bg: rgba(255,255,255,0.15);--bs-dropdown-link-active-color: #fff;--bs-dropdown-link-active-bg: #007bc2;--bs-dropdown-link-disabled-color: #8D959E;--bs-dropdown-header-color: #8D959E}.btn-group,.btn-group-vertical{position:relative;display:inline-flex;vertical-align:middle}.btn-group>.btn,.btn-group-vertical>.btn{position:relative;flex:1 1 auto;-webkit-flex:1 1 auto}.btn-group>.btn-check:checked+.btn,.btn-group>.btn-check:focus+.btn,.btn-group>.btn:hover,.btn-group>.btn:focus,.btn-group>.btn:active,.btn-group>.btn.active,.btn-group-vertical>.btn-check:checked+.btn,.btn-group-vertical>.btn-check:focus+.btn,.btn-group-vertical>.btn:hover,.btn-group-vertical>.btn:focus,.btn-group-vertical>.btn:active,.btn-group-vertical>.btn.active{z-index:1}.btn-toolbar{display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;justify-content:flex-start;-webkit-justify-content:flex-start}.btn-toolbar .input-group{width:auto}.btn-group{border-radius:var(--bs-border-radius)}.btn-group>:not(.btn-check:first-child)+.btn,.btn-group>.btn-group:not(:first-child){margin-left:calc(var(--bs-border-width) * -1)}.btn-group>.btn:not(:last-child):not(.dropdown-toggle),.btn-group>.btn.dropdown-toggle-split:first-child,.btn-group>.btn-group:not(:last-child)>.btn{border-top-right-radius:0;border-bottom-right-radius:0}.btn-group>.btn:nth-child(n + 3),.btn-group>:not(.btn-check)+.btn,.btn-group>.btn-group:not(:first-child)>.btn{border-top-left-radius:0;border-bottom-left-radius:0}.dropdown-toggle-split{padding-right:1.5em;padding-left:1.5em}.dropdown-toggle-split::after,.dropup .dropdown-toggle-split::after,.dropend .dropdown-toggle-split::after{margin-left:0}.dropstart .dropdown-toggle-split::before{margin-right:0}.btn-sm+.dropdown-toggle-split,.btn-group-sm>.btn+.dropdown-toggle-split{padding-right:.375rem;padding-left:.375rem}.btn-lg+.dropdown-toggle-split,.btn-group-lg>.btn+.dropdown-toggle-split{padding-right:.75rem;padding-left:.75rem}.btn-group-vertical{flex-direction:column;-webkit-flex-direction:column;align-items:flex-start;-webkit-align-items:flex-start;justify-content:center;-webkit-justify-content:center}.btn-group-vertical>.btn,.btn-group-vertical>.btn-group{width:100%}.btn-group-vertical>.btn:not(:first-child),.btn-group-vertical>.btn-group:not(:first-child){margin-top:calc(var(--bs-border-width) * -1)}.btn-group-vertical>.btn:not(:last-child):not(.dropdown-toggle),.btn-group-vertical>.btn-group:not(:last-child)>.btn{border-bottom-right-radius:0;border-bottom-left-radius:0}.btn-group-vertical>.btn~.btn,.btn-group-vertical>.btn-group:not(:first-child)>.btn{border-top-left-radius:0;border-top-right-radius:0}.nav{--bs-nav-link-padding-x: 1rem;--bs-nav-link-padding-y: .5rem;--bs-nav-link-font-weight: ;--bs-nav-link-color: var(--bs-link-color);--bs-nav-link-hover-color: var(--bs-link-hover-color);--bs-nav-link-disabled-color: var(--bs-secondary-color);display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;padding-left:0;margin-bottom:0;list-style:none}.nav-link{display:block;padding:var(--bs-nav-link-padding-y) var(--bs-nav-link-padding-x);font-size:var(--bs-nav-link-font-size);font-weight:var(--bs-nav-link-font-weight);color:var(--bs-nav-link-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background:none;border:0;transition:color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.nav-link{transition:none}}.nav-link:hover,.nav-link:focus{color:var(--bs-nav-link-hover-color)}.nav-link:focus-visible{outline:0;box-shadow:0 0 0 .25rem rgba(0,123,194,0.25)}.nav-link.disabled,.nav-link:disabled{color:var(--bs-nav-link-disabled-color);pointer-events:none;cursor:default}.nav-tabs{--bs-nav-tabs-border-width: var(--bs-border-width);--bs-nav-tabs-border-color: var(--bs-border-color);--bs-nav-tabs-border-radius: var(--bs-border-radius);--bs-nav-tabs-link-hover-border-color: var(--bs-secondary-bg) var(--bs-secondary-bg) var(--bs-border-color);--bs-nav-tabs-link-active-color: var(--bs-emphasis-color);--bs-nav-tabs-link-active-bg: var(--bs-body-bg);--bs-nav-tabs-link-active-border-color: var(--bs-border-color) var(--bs-border-color) var(--bs-body-bg);border-bottom:var(--bs-nav-tabs-border-width) solid var(--bs-nav-tabs-border-color)}.nav-tabs .nav-link{margin-bottom:calc(-1 * var(--bs-nav-tabs-border-width));border:var(--bs-nav-tabs-border-width) solid transparent;border-top-left-radius:var(--bs-nav-tabs-border-radius);border-top-right-radius:var(--bs-nav-tabs-border-radius)}.nav-tabs .nav-link:hover,.nav-tabs .nav-link:focus{isolation:isolate;border-color:var(--bs-nav-tabs-link-hover-border-color)}.nav-tabs .nav-link.active,.nav-tabs .nav-item.show .nav-link{color:var(--bs-nav-tabs-link-active-color);background-color:var(--bs-nav-tabs-link-active-bg);border-color:var(--bs-nav-tabs-link-active-border-color)}.nav-tabs .dropdown-menu{margin-top:calc(-1 * var(--bs-nav-tabs-border-width));border-top-left-radius:0;border-top-right-radius:0}.nav-pills{--bs-nav-pills-border-radius: var(--bs-border-radius);--bs-nav-pills-link-active-color: #fff;--bs-nav-pills-link-active-bg: #007bc2}.nav-pills .nav-link{border-radius:var(--bs-nav-pills-border-radius)}.nav-pills .nav-link.active,.nav-pills .show>.nav-link{color:var(--bs-nav-pills-link-active-color);background-color:var(--bs-nav-pills-link-active-bg)}.nav-underline{--bs-nav-underline-gap: 1rem;--bs-nav-underline-border-width: .125rem;--bs-nav-underline-link-active-color: var(--bs-emphasis-color);gap:var(--bs-nav-underline-gap)}.nav-underline .nav-link{padding-right:0;padding-left:0;border-bottom:var(--bs-nav-underline-border-width) solid transparent}.nav-underline .nav-link:hover,.nav-underline .nav-link:focus{border-bottom-color:currentcolor}.nav-underline .nav-link.active,.nav-underline .show>.nav-link{font-weight:700;color:var(--bs-nav-underline-link-active-color);border-bottom-color:currentcolor}.nav-fill>.nav-link,.nav-fill .nav-item{flex:1 1 auto;-webkit-flex:1 1 auto;text-align:center}.nav-justified>.nav-link,.nav-justified .nav-item{flex-basis:0;-webkit-flex-basis:0;flex-grow:1;-webkit-flex-grow:1;text-align:center}.nav-fill .nav-item .nav-link,.nav-justified .nav-item .nav-link{width:100%}.tab-content>.tab-pane{display:none}.tab-content>.active{display:block}.navbar{--bs-navbar-padding-x: .66rem;--bs-navbar-padding-y: .5rem;--bs-navbar-color: rgba(var(--bs-emphasis-color-rgb), 0.65);--bs-navbar-hover-color: rgba(var(--bs-emphasis-color-rgb), 0.8);--bs-navbar-disabled-color: rgba(var(--bs-emphasis-color-rgb), 0.3);--bs-navbar-active-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-padding-y: .3125rem;--bs-navbar-brand-margin-end: 1rem;--bs-navbar-brand-font-size: 1.25rem;--bs-navbar-brand-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-hover-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-nav-link-padding-x: .5rem;--bs-navbar-toggler-padding-y: .25rem;--bs-navbar-toggler-padding-x: .75rem;--bs-navbar-toggler-font-size: 1.25rem;--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%2829,31,33,0.75%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e");--bs-navbar-toggler-border-color: rgba(var(--bs-emphasis-color-rgb), 0.15);--bs-navbar-toggler-border-radius: var(--bs-border-radius);--bs-navbar-toggler-focus-width: .25rem;--bs-navbar-toggler-transition: box-shadow 0.15s ease-in-out;position:relative;display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;align-items:center;-webkit-align-items:center;justify-content:space-between;-webkit-justify-content:space-between;padding:var(--bs-navbar-padding-y) 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.navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand-md .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-md .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-md .navbar-nav-scroll{overflow:visible}.navbar-expand-md .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand-md .navbar-toggler{display:none}.navbar-expand-md .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-md .offcanvas .offcanvas-header{display:none}.navbar-expand-md .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}@media (min-width: 992px){.navbar-expand-lg{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand-lg .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand-lg .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-lg .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-lg .navbar-nav-scroll{overflow:visible}.navbar-expand-lg .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand-lg .navbar-toggler{display:none}.navbar-expand-lg .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-lg .offcanvas .offcanvas-header{display:none}.navbar-expand-lg .offcanvas 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!important;transform:none !important;transition:none}.navbar-expand-xl .offcanvas .offcanvas-header{display:none}.navbar-expand-xl .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}@media (min-width: 1400px){.navbar-expand-xxl{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand-xxl .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand-xxl .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-xxl .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-xxl .navbar-nav-scroll{overflow:visible}.navbar-expand-xxl .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand-xxl .navbar-toggler{display:none}.navbar-expand-xxl .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-xxl .offcanvas .offcanvas-header{display:none}.navbar-expand-xxl .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}.navbar-expand{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand .navbar-nav .dropdown-menu{position:absolute}.navbar-expand .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand .navbar-nav-scroll{overflow:visible}.navbar-expand .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand .navbar-toggler{display:none}.navbar-expand .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand .offcanvas .offcanvas-header{display:none}.navbar-expand .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}.navbar-dark,.navbar[data-bs-theme="dark"]{--bs-navbar-color: rgba(var(--bs-emphasis-color-rgb), 0.55);--bs-navbar-hover-color: rgba(var(--bs-emphasis-color-rgb), 0.75);--bs-navbar-disabled-color: rgba(var(--bs-emphasis-color-rgb), 0.25);--bs-navbar-active-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-hover-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-toggler-border-color: rgba(var(--bs-emphasis-color-rgb), 0.1);--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%28255,255,255,0.75%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e")}[data-bs-theme="dark"] .navbar-toggler-icon{--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%28255,255,255,0.75%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e")}.card{--bs-card-spacer-y: 1rem;--bs-card-spacer-x: 1rem;--bs-card-title-spacer-y: .5rem;--bs-card-title-color: ;--bs-card-subtitle-color: ;--bs-card-border-width: var(--bs-border-width);--bs-card-border-color: var(--bs-border-color-translucent);--bs-card-border-radius: 8px;--bs-card-box-shadow: ;--bs-card-inner-border-radius: calc(8px - (var(--bs-border-width)));--bs-card-cap-padding-y: .5rem;--bs-card-cap-padding-x: 1rem;--bs-card-cap-bg: rgba(var(--bs-body-color-rgb), 0.03);--bs-card-cap-color: ;--bs-card-height: ;--bs-card-color: ;--bs-card-bg: var(--bs-body-bg);--bs-card-img-overlay-padding: 1rem;--bs-card-group-margin: .75rem;position:relative;display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;min-width:0;height:var(--bs-card-height);color:var(--bs-body-color);word-wrap:break-word;background-color:var(--bs-card-bg);background-clip:border-box;border:var(--bs-card-border-width) solid var(--bs-card-border-color);border-radius:var(--bs-card-border-radius)}.card>hr{margin-right:0;margin-left:0}.card>.list-group{border-top:inherit;border-bottom:inherit}.card>.list-group:first-child{border-top-width:0;border-top-left-radius:var(--bs-card-inner-border-radius);border-top-right-radius:var(--bs-card-inner-border-radius)}.card>.list-group:last-child{border-bottom-width:0;border-bottom-right-radius:var(--bs-card-inner-border-radius);border-bottom-left-radius:var(--bs-card-inner-border-radius)}.card>.card-header+.list-group,.card>.list-group+.card-footer{border-top:0}.card-body{flex:1 1 auto;-webkit-flex:1 1 auto;padding:var(--bs-card-spacer-y) var(--bs-card-spacer-x);color:var(--bs-card-color)}.card-title{margin-bottom:var(--bs-card-title-spacer-y);color:var(--bs-card-title-color)}.card-subtitle{margin-top:calc(-.5 * 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wrap;-webkit-flex-flow:row wrap}.card-group>.card{flex:1 0 0%;-webkit-flex:1 0 0%;margin-bottom:0}.card-group>.card+.card{margin-left:0;border-left:0}.card-group>.card:not(:last-child){border-top-right-radius:0;border-bottom-right-radius:0}.card-group>.card:not(:last-child) .card-img-top,.card-group>.card:not(:last-child) .card-header{border-top-right-radius:0}.card-group>.card:not(:last-child) .card-img-bottom,.card-group>.card:not(:last-child) .card-footer{border-bottom-right-radius:0}.card-group>.card:not(:first-child){border-top-left-radius:0;border-bottom-left-radius:0}.card-group>.card:not(:first-child) .card-img-top,.card-group>.card:not(:first-child) .card-header{border-top-left-radius:0}.card-group>.card:not(:first-child) .card-img-bottom,.card-group>.card:not(:first-child) .card-footer{border-bottom-left-radius:0}}.accordion{--bs-accordion-color: var(--bs-body-color);--bs-accordion-bg: var(--bs-body-bg);--bs-accordion-transition: color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out,border-radius 0.15s ease;--bs-accordion-border-color: var(--bs-border-color);--bs-accordion-border-width: var(--bs-border-width);--bs-accordion-border-radius: var(--bs-border-radius);--bs-accordion-inner-border-radius: calc(var(--bs-border-radius) - (var(--bs-border-width)));--bs-accordion-btn-padding-x: 1.25rem;--bs-accordion-btn-padding-y: 1rem;--bs-accordion-btn-color: var(--bs-body-color);--bs-accordion-btn-bg: var(--bs-accordion-bg);--bs-accordion-btn-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%231D1F21'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-icon-width: 1.25rem;--bs-accordion-btn-icon-transform: rotate(-180deg);--bs-accordion-btn-icon-transition: transform 0.2s ease-in-out;--bs-accordion-btn-active-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%2300314e'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-focus-border-color: #80bde1;--bs-accordion-btn-focus-box-shadow: 0 0 0 .25rem rgba(0,123,194,0.25);--bs-accordion-body-padding-x: 1.25rem;--bs-accordion-body-padding-y: 1rem;--bs-accordion-active-color: ;--bs-accordion-active-bg: }.accordion-button{position:relative;display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;width:100%;padding:var(--bs-accordion-btn-padding-y) var(--bs-accordion-btn-padding-x);font-size:1rem;color:var(--bs-accordion-btn-color);text-align:left;background-color:var(--bs-accordion-btn-bg);border:0;border-radius:0;overflow-anchor:none;transition:var(--bs-accordion-transition)}@media (prefers-reduced-motion: reduce){.accordion-button{transition:none}}.accordion-button:not(.collapsed){color:var(--bs-accordion-active-color);background-color:var(--bs-accordion-active-bg);box-shadow:inset 0 calc(-1 * var(--bs-accordion-border-width)) 0 var(--bs-accordion-border-color)}.accordion-button:not(.collapsed)::after{background-image:var(--bs-accordion-btn-active-icon);transform:var(--bs-accordion-btn-icon-transform)}.accordion-button::after{flex-shrink:0;-webkit-flex-shrink:0;width:var(--bs-accordion-btn-icon-width);height:var(--bs-accordion-btn-icon-width);margin-left:auto;content:"";background-image:var(--bs-accordion-btn-icon);background-repeat:no-repeat;background-size:var(--bs-accordion-btn-icon-width);transition:var(--bs-accordion-btn-icon-transition)}@media (prefers-reduced-motion: reduce){.accordion-button::after{transition:none}}.accordion-button:hover{z-index:2}.accordion-button:focus{z-index:3;border-color:var(--bs-accordion-btn-focus-border-color);outline:0;box-shadow:var(--bs-accordion-btn-focus-box-shadow)}.accordion-header{margin-bottom:0}.accordion-item{color:var(--bs-accordion-color);background-color:var(--bs-accordion-bg);border:var(--bs-accordion-border-width) solid var(--bs-accordion-border-color)}.accordion-item:first-of-type{border-top-left-radius:var(--bs-accordion-border-radius);border-top-right-radius:var(--bs-accordion-border-radius)}.accordion-item:first-of-type .accordion-button{border-top-left-radius:var(--bs-accordion-inner-border-radius);border-top-right-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:not(:first-of-type){border-top:0}.accordion-item:last-of-type{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-item:last-of-type .accordion-button.collapsed{border-bottom-right-radius:var(--bs-accordion-inner-border-radius);border-bottom-left-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:last-of-type .accordion-collapse{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-body{padding:var(--bs-accordion-body-padding-y) var(--bs-accordion-body-padding-x)}.accordion-flush .accordion-collapse{border-width:0}.accordion-flush .accordion-item{border-right:0;border-left:0;border-radius:0}.accordion-flush .accordion-item:first-child{border-top:0}.accordion-flush .accordion-item:last-child{border-bottom:0}.accordion-flush .accordion-item .accordion-button,.accordion-flush .accordion-item .accordion-button.collapsed{border-radius:0}[data-bs-theme="dark"] .accordion-button::after{--bs-accordion-btn-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%2366b0da'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-active-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%2366b0da'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e")}.breadcrumb{--bs-breadcrumb-padding-x: 0;--bs-breadcrumb-padding-y: 0;--bs-breadcrumb-margin-bottom: 1rem;--bs-breadcrumb-bg: ;--bs-breadcrumb-border-radius: ;--bs-breadcrumb-divider-color: var(--bs-secondary-color);--bs-breadcrumb-item-padding-x: .5rem;--bs-breadcrumb-item-active-color: var(--bs-secondary-color);display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;padding:var(--bs-breadcrumb-padding-y) var(--bs-breadcrumb-padding-x);margin-bottom:var(--bs-breadcrumb-margin-bottom);font-size:var(--bs-breadcrumb-font-size);list-style:none;background-color:var(--bs-breadcrumb-bg);border-radius:var(--bs-breadcrumb-border-radius)}.breadcrumb-item+.breadcrumb-item{padding-left:var(--bs-breadcrumb-item-padding-x)}.breadcrumb-item+.breadcrumb-item::before{float:left;padding-right:var(--bs-breadcrumb-item-padding-x);color:var(--bs-breadcrumb-divider-color);content:var(--bs-breadcrumb-divider, "/") /* rtl: var(--bs-breadcrumb-divider, "/") */}.breadcrumb-item.active{color:var(--bs-breadcrumb-item-active-color)}.pagination{--bs-pagination-padding-x: .75rem;--bs-pagination-padding-y: .375rem;--bs-pagination-font-size:1rem;--bs-pagination-color: var(--bs-link-color);--bs-pagination-bg: var(--bs-body-bg);--bs-pagination-border-width: var(--bs-border-width);--bs-pagination-border-color: var(--bs-border-color);--bs-pagination-border-radius: var(--bs-border-radius);--bs-pagination-hover-color: var(--bs-link-hover-color);--bs-pagination-hover-bg: var(--bs-tertiary-bg);--bs-pagination-hover-border-color: var(--bs-border-color);--bs-pagination-focus-color: var(--bs-link-hover-color);--bs-pagination-focus-bg: var(--bs-secondary-bg);--bs-pagination-focus-box-shadow: 0 0 0 .25rem rgba(0,123,194,0.25);--bs-pagination-active-color: #fff;--bs-pagination-active-bg: #007bc2;--bs-pagination-active-border-color: #007bc2;--bs-pagination-disabled-color: var(--bs-secondary-color);--bs-pagination-disabled-bg: var(--bs-secondary-bg);--bs-pagination-disabled-border-color: var(--bs-border-color);display:flex;display:-webkit-flex;padding-left:0;list-style:none}.page-link{position:relative;display:block;padding:var(--bs-pagination-padding-y) var(--bs-pagination-padding-x);font-size:var(--bs-pagination-font-size);color:var(--bs-pagination-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-pagination-bg);border:var(--bs-pagination-border-width) solid var(--bs-pagination-border-color);transition:color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.page-link{transition:none}}.page-link:hover{z-index:2;color:var(--bs-pagination-hover-color);background-color:var(--bs-pagination-hover-bg);border-color:var(--bs-pagination-hover-border-color)}.page-link:focus{z-index:3;color:var(--bs-pagination-focus-color);background-color:var(--bs-pagination-focus-bg);outline:0;box-shadow:var(--bs-pagination-focus-box-shadow)}.page-link.active,.active>.page-link{z-index:3;color:var(--bs-pagination-active-color);background-color:var(--bs-pagination-active-bg);border-color:var(--bs-pagination-active-border-color)}.page-link.disabled,.disabled>.page-link{color:var(--bs-pagination-disabled-color);pointer-events:none;background-color:var(--bs-pagination-disabled-bg);border-color:var(--bs-pagination-disabled-border-color)}.page-item:not(:first-child) .page-link{margin-left:calc(var(--bs-border-width) * -1)}.page-item:first-child .page-link{border-top-left-radius:var(--bs-pagination-border-radius);border-bottom-left-radius:var(--bs-pagination-border-radius)}.page-item:last-child .page-link{border-top-right-radius:var(--bs-pagination-border-radius);border-bottom-right-radius:var(--bs-pagination-border-radius)}.pagination-lg{--bs-pagination-padding-x: 1.5rem;--bs-pagination-padding-y: .75rem;--bs-pagination-font-size:1.25rem;--bs-pagination-border-radius: var(--bs-border-radius-lg)}.pagination-sm{--bs-pagination-padding-x: .5rem;--bs-pagination-padding-y: .25rem;--bs-pagination-font-size:.875rem;--bs-pagination-border-radius: var(--bs-border-radius-sm)}.badge{--bs-badge-padding-x: .65em;--bs-badge-padding-y: .35em;--bs-badge-font-size:.75em;--bs-badge-font-weight: 700;--bs-badge-color: #fff;--bs-badge-border-radius: var(--bs-border-radius);display:inline-block;padding:var(--bs-badge-padding-y) var(--bs-badge-padding-x);font-size:var(--bs-badge-font-size);font-weight:var(--bs-badge-font-weight);line-height:1;color:var(--bs-badge-color);text-align:center;white-space:nowrap;vertical-align:baseline;border-radius:var(--bs-badge-border-radius)}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.alert{--bs-alert-bg: transparent;--bs-alert-padding-x: 1rem;--bs-alert-padding-y: 1rem;--bs-alert-margin-bottom: 1rem;--bs-alert-color: inherit;--bs-alert-border-color: transparent;--bs-alert-border: var(--bs-border-width) solid var(--bs-alert-border-color);--bs-alert-border-radius: var(--bs-border-radius);--bs-alert-link-color: inherit;position:relative;padding:var(--bs-alert-padding-y) var(--bs-alert-padding-x);margin-bottom:var(--bs-alert-margin-bottom);color:var(--bs-alert-color);background-color:var(--bs-alert-bg);border:var(--bs-alert-border);border-radius:var(--bs-alert-border-radius)}.alert-heading{color:inherit}.alert-link{font-weight:700;color:var(--bs-alert-link-color)}.alert-dismissible{padding-right:3rem}.alert-dismissible .btn-close{position:absolute;top:0;right:0;z-index:2;padding:1.25rem 1rem}.alert-default{--bs-alert-color: var(--bs-default-text-emphasis);--bs-alert-bg: var(--bs-default-bg-subtle);--bs-alert-border-color: var(--bs-default-border-subtle);--bs-alert-link-color: var(--bs-default-text-emphasis)}.alert-primary{--bs-alert-color: var(--bs-primary-text-emphasis);--bs-alert-bg: var(--bs-primary-bg-subtle);--bs-alert-border-color: var(--bs-primary-border-subtle);--bs-alert-link-color: var(--bs-primary-text-emphasis)}.alert-secondary{--bs-alert-color: var(--bs-secondary-text-emphasis);--bs-alert-bg: var(--bs-secondary-bg-subtle);--bs-alert-border-color: var(--bs-secondary-border-subtle);--bs-alert-link-color: var(--bs-secondary-text-emphasis)}.alert-success{--bs-alert-color: var(--bs-success-text-emphasis);--bs-alert-bg: var(--bs-success-bg-subtle);--bs-alert-border-color: var(--bs-success-border-subtle);--bs-alert-link-color: var(--bs-success-text-emphasis)}.alert-info{--bs-alert-color: var(--bs-info-text-emphasis);--bs-alert-bg: var(--bs-info-bg-subtle);--bs-alert-border-color: var(--bs-info-border-subtle);--bs-alert-link-color: var(--bs-info-text-emphasis)}.alert-warning{--bs-alert-color: var(--bs-warning-text-emphasis);--bs-alert-bg: var(--bs-warning-bg-subtle);--bs-alert-border-color: var(--bs-warning-border-subtle);--bs-alert-link-color: var(--bs-warning-text-emphasis)}.alert-danger{--bs-alert-color: var(--bs-danger-text-emphasis);--bs-alert-bg: var(--bs-danger-bg-subtle);--bs-alert-border-color: var(--bs-danger-border-subtle);--bs-alert-link-color: var(--bs-danger-text-emphasis)}.alert-light{--bs-alert-color: var(--bs-light-text-emphasis);--bs-alert-bg: var(--bs-light-bg-subtle);--bs-alert-border-color: var(--bs-light-border-subtle);--bs-alert-link-color: var(--bs-light-text-emphasis)}.alert-dark{--bs-alert-color: var(--bs-dark-text-emphasis);--bs-alert-bg: var(--bs-dark-bg-subtle);--bs-alert-border-color: var(--bs-dark-border-subtle);--bs-alert-link-color: var(--bs-dark-text-emphasis)}@keyframes progress-bar-stripes{0%{background-position-x:1rem}}.progress,.progress-stacked{--bs-progress-height: 1rem;--bs-progress-font-size:.75rem;--bs-progress-bg: var(--bs-secondary-bg);--bs-progress-border-radius: var(--bs-border-radius);--bs-progress-box-shadow: var(--bs-box-shadow-inset);--bs-progress-bar-color: #fff;--bs-progress-bar-bg: #007bc2;--bs-progress-bar-transition: width 0.6s 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var(--bs-list-group-border-width)}.list-group-flush>.list-group-item:last-child{border-bottom-width:0}.list-group-item-default{--bs-list-group-color: var(--bs-default-text-emphasis);--bs-list-group-bg: var(--bs-default-bg-subtle);--bs-list-group-border-color: var(--bs-default-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-default-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-default-border-subtle);--bs-list-group-active-color: var(--bs-default-bg-subtle);--bs-list-group-active-bg: var(--bs-default-text-emphasis);--bs-list-group-active-border-color: var(--bs-default-text-emphasis)}.list-group-item-primary{--bs-list-group-color: var(--bs-primary-text-emphasis);--bs-list-group-bg: var(--bs-primary-bg-subtle);--bs-list-group-border-color: var(--bs-primary-border-subtle);--bs-list-group-action-hover-color: 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var(--bs-secondary-text-emphasis);--bs-list-group-active-border-color: var(--bs-secondary-text-emphasis)}.list-group-item-success{--bs-list-group-color: var(--bs-success-text-emphasis);--bs-list-group-bg: var(--bs-success-bg-subtle);--bs-list-group-border-color: var(--bs-success-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-success-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-success-border-subtle);--bs-list-group-active-color: var(--bs-success-bg-subtle);--bs-list-group-active-bg: var(--bs-success-text-emphasis);--bs-list-group-active-border-color: var(--bs-success-text-emphasis)}.list-group-item-info{--bs-list-group-color: var(--bs-info-text-emphasis);--bs-list-group-bg: var(--bs-info-bg-subtle);--bs-list-group-border-color: var(--bs-info-border-subtle);--bs-list-group-action-hover-color: 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var(--bs-warning-text-emphasis)}.list-group-item-danger{--bs-list-group-color: var(--bs-danger-text-emphasis);--bs-list-group-bg: var(--bs-danger-bg-subtle);--bs-list-group-border-color: var(--bs-danger-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-danger-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-danger-border-subtle);--bs-list-group-active-color: var(--bs-danger-bg-subtle);--bs-list-group-active-bg: var(--bs-danger-text-emphasis);--bs-list-group-active-border-color: var(--bs-danger-text-emphasis)}.list-group-item-light{--bs-list-group-color: var(--bs-light-text-emphasis);--bs-list-group-bg: var(--bs-light-bg-subtle);--bs-list-group-border-color: var(--bs-light-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-light-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-light-border-subtle);--bs-list-group-active-color: var(--bs-light-bg-subtle);--bs-list-group-active-bg: var(--bs-light-text-emphasis);--bs-list-group-active-border-color: var(--bs-light-text-emphasis)}.list-group-item-dark{--bs-list-group-color: var(--bs-dark-text-emphasis);--bs-list-group-bg: var(--bs-dark-bg-subtle);--bs-list-group-border-color: var(--bs-dark-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-dark-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-dark-border-subtle);--bs-list-group-active-color: var(--bs-dark-bg-subtle);--bs-list-group-active-bg: var(--bs-dark-text-emphasis);--bs-list-group-active-border-color: var(--bs-dark-text-emphasis)}.btn-close{--bs-btn-close-color: #000;--bs-btn-close-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23000'%3e%3cpath d='M.293.293a1 1 0 0 1 1.414 0L8 6.586 14.293.293a1 1 0 1 1 1.414 1.414L9.414 8l6.293 6.293a1 1 0 0 1-1.414 1.414L8 9.414l-6.293 6.293a1 1 0 0 1-1.414-1.414L6.586 8 .293 1.707a1 1 0 0 1 0-1.414z'/%3e%3c/svg%3e");--bs-btn-close-opacity: .5;--bs-btn-close-hover-opacity: .75;--bs-btn-close-focus-shadow: 0 0 0 .25rem rgba(0,123,194,0.25);--bs-btn-close-focus-opacity: 1;--bs-btn-close-disabled-opacity: .25;--bs-btn-close-white-filter: invert(1) grayscale(100%) brightness(200%);box-sizing:content-box;width:1em;height:1em;padding:.25em .25em;color:var(--bs-btn-close-color);background:transparent var(--bs-btn-close-bg) center/1em auto no-repeat;border:0;border-radius:3px;opacity:var(--bs-btn-close-opacity)}.btn-close:hover{color:var(--bs-btn-close-color);text-decoration:none;opacity:var(--bs-btn-close-hover-opacity)}.btn-close:focus{outline:0;box-shadow:var(--bs-btn-close-focus-shadow);opacity:var(--bs-btn-close-focus-opacity)}.btn-close:disabled,.btn-close.disabled{pointer-events:none;user-select:none;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;-o-user-select:none;opacity:var(--bs-btn-close-disabled-opacity)}.btn-close-white{filter:var(--bs-btn-close-white-filter)}[data-bs-theme="dark"] .btn-close{filter:var(--bs-btn-close-white-filter)}.toast{--bs-toast-zindex: 1090;--bs-toast-padding-x: .75rem;--bs-toast-padding-y: .5rem;--bs-toast-spacing: 1.5rem;--bs-toast-max-width: 350px;--bs-toast-font-size:.875rem;--bs-toast-color: ;--bs-toast-bg: rgba(var(--bs-body-bg-rgb), 0.85);--bs-toast-border-width: var(--bs-border-width);--bs-toast-border-color: var(--bs-border-color-translucent);--bs-toast-border-radius: var(--bs-border-radius);--bs-toast-box-shadow: var(--bs-box-shadow);--bs-toast-header-color: var(--bs-secondary-color);--bs-toast-header-bg: rgba(var(--bs-body-bg-rgb), 0.85);--bs-toast-header-border-color: var(--bs-border-color-translucent);width:var(--bs-toast-max-width);max-width:100%;font-size:var(--bs-toast-font-size);color:var(--bs-toast-color);pointer-events:auto;background-color:var(--bs-toast-bg);background-clip:padding-box;border:var(--bs-toast-border-width) solid var(--bs-toast-border-color);box-shadow:var(--bs-toast-box-shadow);border-radius:var(--bs-toast-border-radius)}.toast.showing{opacity:0}.toast:not(.show){display:none}.toast-container{--bs-toast-zindex: 1090;position:absolute;z-index:var(--bs-toast-zindex);width:max-content;width:-webkit-max-content;width:-moz-max-content;width:-ms-max-content;width:-o-max-content;max-width:100%;pointer-events:none}.toast-container>:not(:last-child){margin-bottom:var(--bs-toast-spacing)}.toast-header{display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;padding:var(--bs-toast-padding-y) var(--bs-toast-padding-x);color:var(--bs-toast-header-color);background-color:var(--bs-toast-header-bg);background-clip:padding-box;border-bottom:var(--bs-toast-border-width) solid var(--bs-toast-header-border-color);border-top-left-radius:calc(var(--bs-toast-border-radius) - var(--bs-toast-border-width));border-top-right-radius:calc(var(--bs-toast-border-radius) - var(--bs-toast-border-width))}.toast-header .btn-close{margin-right:calc(-.5 * 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-1)}.btn-group-vertical>.btn:not(:last-child):not(.dropdown-toggle),.btn-group-vertical>.btn-group:not(:last-child)>.btn{border-bottom-right-radius:0;border-bottom-left-radius:0}.btn-group-vertical>.btn~.btn,.btn-group-vertical>.btn-group:not(:first-child)>.btn{border-top-left-radius:0;border-top-right-radius:0}.nav{--bs-nav-link-padding-x: 1rem;--bs-nav-link-padding-y: .5rem;--bs-nav-link-font-weight: ;--bs-nav-link-color: var(--bs-link-color);--bs-nav-link-hover-color: var(--bs-link-hover-color);--bs-nav-link-disabled-color: var(--bs-secondary-color);display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;padding-left:0;margin-bottom:0;list-style:none}.nav-link{display:block;padding:var(--bs-nav-link-padding-y) 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var(--bs-border-color);--bs-nav-tabs-link-active-color: var(--bs-emphasis-color);--bs-nav-tabs-link-active-bg: var(--bs-body-bg);--bs-nav-tabs-link-active-border-color: var(--bs-border-color) var(--bs-border-color) var(--bs-body-bg);border-bottom:var(--bs-nav-tabs-border-width) solid var(--bs-nav-tabs-border-color)}.nav-tabs .nav-link{margin-bottom:calc(-1 * var(--bs-nav-tabs-border-width));border:var(--bs-nav-tabs-border-width) solid transparent;border-top-left-radius:var(--bs-nav-tabs-border-radius);border-top-right-radius:var(--bs-nav-tabs-border-radius)}.nav-tabs .nav-link:hover,.nav-tabs .nav-link:focus{isolation:isolate;border-color:var(--bs-nav-tabs-link-hover-border-color)}.nav-tabs .nav-link.active,.nav-tabs .nav-item.show .nav-link{color:var(--bs-nav-tabs-link-active-color);background-color:var(--bs-nav-tabs-link-active-bg);border-color:var(--bs-nav-tabs-link-active-border-color)}.nav-tabs .dropdown-menu{margin-top:calc(-1 * 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.show>.nav-link{font-weight:700;color:var(--bs-nav-underline-link-active-color);border-bottom-color:currentcolor}.nav-fill>.nav-link,.nav-fill .nav-item{flex:1 1 auto;-webkit-flex:1 1 auto;text-align:center}.nav-justified>.nav-link,.nav-justified .nav-item{flex-basis:0;-webkit-flex-basis:0;flex-grow:1;-webkit-flex-grow:1;text-align:center}.nav-fill .nav-item .nav-link,.nav-justified .nav-item .nav-link{width:100%}.tab-content>.tab-pane{display:none}.tab-content>.active{display:block}.navbar{--bs-navbar-padding-x: 0;--bs-navbar-padding-y: .5rem;--bs-navbar-color: rgba(var(--bs-emphasis-color-rgb), 0.65);--bs-navbar-hover-color: rgba(var(--bs-emphasis-color-rgb), 0.8);--bs-navbar-disabled-color: rgba(var(--bs-emphasis-color-rgb), 0.3);--bs-navbar-active-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-padding-y: .3125rem;--bs-navbar-brand-margin-end: 1rem;--bs-navbar-brand-font-size: 1.25rem;--bs-navbar-brand-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-hover-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-nav-link-padding-x: .5rem;--bs-navbar-toggler-padding-y: .25rem;--bs-navbar-toggler-padding-x: .75rem;--bs-navbar-toggler-font-size: 1.25rem;--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%2833,37,41,0.75%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e");--bs-navbar-toggler-border-color: rgba(var(--bs-emphasis-color-rgb), 0.15);--bs-navbar-toggler-border-radius: var(--bs-border-radius);--bs-navbar-toggler-focus-width: .25rem;--bs-navbar-toggler-transition: box-shadow 0.15s ease-in-out;position:relative;display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;align-items:center;-webkit-align-items:center;justify-content:space-between;-webkit-justify-content:space-between;padding:var(--bs-navbar-padding-y) 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.navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand-md .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-md .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-md .navbar-nav-scroll{overflow:visible}.navbar-expand-md .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand-md .navbar-toggler{display:none}.navbar-expand-md .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-md .offcanvas .offcanvas-header{display:none}.navbar-expand-md .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}@media (min-width: 992px){.navbar-expand-lg{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand-lg .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand-lg .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-lg .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-lg .navbar-nav-scroll{overflow:visible}.navbar-expand-lg .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand-lg .navbar-toggler{display:none}.navbar-expand-lg .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-lg .offcanvas .offcanvas-header{display:none}.navbar-expand-lg .offcanvas 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.offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-xxl .offcanvas .offcanvas-header{display:none}.navbar-expand-xxl .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}.navbar-expand{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand .navbar-nav .dropdown-menu{position:absolute}.navbar-expand .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand .navbar-nav-scroll{overflow:visible}.navbar-expand .navbar-collapse{display:flex !important;display:-webkit-flex 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wrap;-webkit-flex-flow:row wrap}.card-group>.card{flex:1 0 0%;-webkit-flex:1 0 0%;margin-bottom:0}.card-group>.card+.card{margin-left:0;border-left:0}.card-group>.card:not(:last-child){border-top-right-radius:0;border-bottom-right-radius:0}.card-group>.card:not(:last-child) .card-img-top,.card-group>.card:not(:last-child) .card-header{border-top-right-radius:0}.card-group>.card:not(:last-child) .card-img-bottom,.card-group>.card:not(:last-child) .card-footer{border-bottom-right-radius:0}.card-group>.card:not(:first-child){border-top-left-radius:0;border-bottom-left-radius:0}.card-group>.card:not(:first-child) .card-img-top,.card-group>.card:not(:first-child) .card-header{border-top-left-radius:0}.card-group>.card:not(:first-child) .card-img-bottom,.card-group>.card:not(:first-child) .card-footer{border-bottom-left-radius:0}}.accordion{--bs-accordion-color: var(--bs-body-color);--bs-accordion-bg: var(--bs-body-bg);--bs-accordion-transition: color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out,border-radius 0.15s ease;--bs-accordion-border-color: var(--bs-border-color);--bs-accordion-border-width: var(--bs-border-width);--bs-accordion-border-radius: var(--bs-border-radius);--bs-accordion-inner-border-radius: calc(var(--bs-border-radius) - (var(--bs-border-width)));--bs-accordion-btn-padding-x: 1.25rem;--bs-accordion-btn-padding-y: 1rem;--bs-accordion-btn-color: var(--bs-body-color);--bs-accordion-btn-bg: var(--bs-accordion-bg);--bs-accordion-btn-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23212529'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-icon-width: 1.25rem;--bs-accordion-btn-icon-transform: rotate(-180deg);--bs-accordion-btn-icon-transition: transform 0.2s ease-in-out;--bs-accordion-btn-active-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23052c65'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-focus-border-color: #86b7fe;--bs-accordion-btn-focus-box-shadow: 0 0 0 .25rem rgba(13,110,253,0.25);--bs-accordion-body-padding-x: 1.25rem;--bs-accordion-body-padding-y: 1rem;--bs-accordion-active-color: var(--bs-primary-text-emphasis);--bs-accordion-active-bg: var(--bs-primary-bg-subtle)}.accordion-button{position:relative;display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;width:100%;padding:var(--bs-accordion-btn-padding-y) var(--bs-accordion-btn-padding-x);font-size:1rem;color:var(--bs-accordion-btn-color);text-align:left;background-color:var(--bs-accordion-btn-bg);border:0;border-radius:0;overflow-anchor:none;transition:var(--bs-accordion-transition)}@media 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reduce){.accordion-button::after{transition:none}}.accordion-button:hover{z-index:2}.accordion-button:focus{z-index:3;border-color:var(--bs-accordion-btn-focus-border-color);outline:0;box-shadow:var(--bs-accordion-btn-focus-box-shadow)}.accordion-header{margin-bottom:0}.accordion-item{color:var(--bs-accordion-color);background-color:var(--bs-accordion-bg);border:var(--bs-accordion-border-width) solid var(--bs-accordion-border-color)}.accordion-item:first-of-type{border-top-left-radius:var(--bs-accordion-border-radius);border-top-right-radius:var(--bs-accordion-border-radius)}.accordion-item:first-of-type .accordion-button{border-top-left-radius:var(--bs-accordion-inner-border-radius);border-top-right-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:not(:first-of-type){border-top:0}.accordion-item:last-of-type{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-item:last-of-type .accordion-button.collapsed{border-bottom-right-radius:var(--bs-accordion-inner-border-radius);border-bottom-left-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:last-of-type .accordion-collapse{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-body{padding:var(--bs-accordion-body-padding-y) var(--bs-accordion-body-padding-x)}.accordion-flush .accordion-collapse{border-width:0}.accordion-flush .accordion-item{border-right:0;border-left:0;border-radius:0}.accordion-flush .accordion-item:first-child{border-top:0}.accordion-flush .accordion-item:last-child{border-bottom:0}.accordion-flush .accordion-item .accordion-button,.accordion-flush .accordion-item .accordion-button.collapsed{border-radius:0}[data-bs-theme="dark"] .accordion-button::after{--bs-accordion-btn-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%236ea8fe'%3e%3cpath 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var(--bs-breadcrumb-padding-x);margin-bottom:var(--bs-breadcrumb-margin-bottom);font-size:var(--bs-breadcrumb-font-size);list-style:none;background-color:var(--bs-breadcrumb-bg);border-radius:var(--bs-breadcrumb-border-radius)}.breadcrumb-item+.breadcrumb-item{padding-left:var(--bs-breadcrumb-item-padding-x)}.breadcrumb-item+.breadcrumb-item::before{float:left;padding-right:var(--bs-breadcrumb-item-padding-x);color:var(--bs-breadcrumb-divider-color);content:var(--bs-breadcrumb-divider, "/") /* rtl: var(--bs-breadcrumb-divider, "/") */}.breadcrumb-item.active{color:var(--bs-breadcrumb-item-active-color)}.pagination{--bs-pagination-padding-x: .75rem;--bs-pagination-padding-y: .375rem;--bs-pagination-font-size:1rem;--bs-pagination-color: var(--bs-link-color);--bs-pagination-bg: var(--bs-body-bg);--bs-pagination-border-width: var(--bs-border-width);--bs-pagination-border-color: var(--bs-border-color);--bs-pagination-border-radius: var(--bs-border-radius);--bs-pagination-hover-color: 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var(--bs-pagination-padding-x);font-size:var(--bs-pagination-font-size);color:var(--bs-pagination-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-pagination-bg);border:var(--bs-pagination-border-width) solid var(--bs-pagination-border-color);transition:color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.page-link{transition:none}}.page-link:hover{z-index:2;color:var(--bs-pagination-hover-color);background-color:var(--bs-pagination-hover-bg);border-color:var(--bs-pagination-hover-border-color)}.page-link:focus{z-index:3;color:var(--bs-pagination-focus-color);background-color:var(--bs-pagination-focus-bg);outline:0;box-shadow:var(--bs-pagination-focus-box-shadow)}.page-link.active,.active>.page-link{z-index:3;color:var(--bs-pagination-active-color);background-color:var(--bs-pagination-active-bg);border-color:var(--bs-pagination-active-border-color)}.page-link.disabled,.disabled>.page-link{color:var(--bs-pagination-disabled-color);pointer-events:none;background-color:var(--bs-pagination-disabled-bg);border-color:var(--bs-pagination-disabled-border-color)}.page-item:not(:first-child) .page-link{margin-left:calc(var(--bs-border-width) * -1)}.page-item:first-child .page-link{border-top-left-radius:var(--bs-pagination-border-radius);border-bottom-left-radius:var(--bs-pagination-border-radius)}.page-item:last-child .page-link{border-top-right-radius:var(--bs-pagination-border-radius);border-bottom-right-radius:var(--bs-pagination-border-radius)}.pagination-lg{--bs-pagination-padding-x: 1.5rem;--bs-pagination-padding-y: .75rem;--bs-pagination-font-size:1.25rem;--bs-pagination-border-radius: var(--bs-border-radius-lg)}.pagination-sm{--bs-pagination-padding-x: .5rem;--bs-pagination-padding-y: .25rem;--bs-pagination-font-size:.875rem;--bs-pagination-border-radius: var(--bs-border-radius-sm)}.badge{--bs-badge-padding-x: .65em;--bs-badge-padding-y: .35em;--bs-badge-font-size:.75em;--bs-badge-font-weight: 700;--bs-badge-color: #fff;--bs-badge-border-radius: var(--bs-border-radius);display:inline-block;padding:var(--bs-badge-padding-y) var(--bs-badge-padding-x);font-size:var(--bs-badge-font-size);font-weight:var(--bs-badge-font-weight);line-height:1;color:var(--bs-badge-color);text-align:center;white-space:nowrap;vertical-align:baseline;border-radius:var(--bs-badge-border-radius)}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.alert{--bs-alert-bg: transparent;--bs-alert-padding-x: 1rem;--bs-alert-padding-y: 1rem;--bs-alert-margin-bottom: 1rem;--bs-alert-color: inherit;--bs-alert-border-color: transparent;--bs-alert-border: var(--bs-border-width) solid var(--bs-alert-border-color);--bs-alert-border-radius: var(--bs-border-radius);--bs-alert-link-color: inherit;position:relative;padding:var(--bs-alert-padding-y) var(--bs-alert-padding-x);margin-bottom:var(--bs-alert-margin-bottom);color:var(--bs-alert-color);background-color:var(--bs-alert-bg);border:var(--bs-alert-border);border-radius:var(--bs-alert-border-radius)}.alert-heading{color:inherit}.alert-link{font-weight:700;color:var(--bs-alert-link-color)}.alert-dismissible{padding-right:3rem}.alert-dismissible .btn-close{position:absolute;top:0;right:0;z-index:2;padding:1.25rem 1rem}.alert-default{--bs-alert-color: var(--bs-default-text-emphasis);--bs-alert-bg: var(--bs-default-bg-subtle);--bs-alert-border-color: var(--bs-default-border-subtle);--bs-alert-link-color: var(--bs-default-text-emphasis)}.alert-primary{--bs-alert-color: var(--bs-primary-text-emphasis);--bs-alert-bg: var(--bs-primary-bg-subtle);--bs-alert-border-color: var(--bs-primary-border-subtle);--bs-alert-link-color: var(--bs-primary-text-emphasis)}.alert-secondary{--bs-alert-color: var(--bs-secondary-text-emphasis);--bs-alert-bg: var(--bs-secondary-bg-subtle);--bs-alert-border-color: var(--bs-secondary-border-subtle);--bs-alert-link-color: var(--bs-secondary-text-emphasis)}.alert-success{--bs-alert-color: var(--bs-success-text-emphasis);--bs-alert-bg: var(--bs-success-bg-subtle);--bs-alert-border-color: var(--bs-success-border-subtle);--bs-alert-link-color: var(--bs-success-text-emphasis)}.alert-info{--bs-alert-color: var(--bs-info-text-emphasis);--bs-alert-bg: var(--bs-info-bg-subtle);--bs-alert-border-color: var(--bs-info-border-subtle);--bs-alert-link-color: var(--bs-info-text-emphasis)}.alert-warning{--bs-alert-color: var(--bs-warning-text-emphasis);--bs-alert-bg: var(--bs-warning-bg-subtle);--bs-alert-border-color: var(--bs-warning-border-subtle);--bs-alert-link-color: var(--bs-warning-text-emphasis)}.alert-danger{--bs-alert-color: var(--bs-danger-text-emphasis);--bs-alert-bg: var(--bs-danger-bg-subtle);--bs-alert-border-color: var(--bs-danger-border-subtle);--bs-alert-link-color: var(--bs-danger-text-emphasis)}.alert-light{--bs-alert-color: var(--bs-light-text-emphasis);--bs-alert-bg: var(--bs-light-bg-subtle);--bs-alert-border-color: var(--bs-light-border-subtle);--bs-alert-link-color: var(--bs-light-text-emphasis)}.alert-dark{--bs-alert-color: var(--bs-dark-text-emphasis);--bs-alert-bg: var(--bs-dark-bg-subtle);--bs-alert-border-color: var(--bs-dark-border-subtle);--bs-alert-link-color: var(--bs-dark-text-emphasis)}@keyframes progress-bar-stripes{0%{background-position-x:1rem}}.progress,.progress-stacked{--bs-progress-height: 1rem;--bs-progress-font-size:.75rem;--bs-progress-bg: var(--bs-secondary-bg);--bs-progress-border-radius: var(--bs-border-radius);--bs-progress-box-shadow: var(--bs-box-shadow-inset);--bs-progress-bar-color: #fff;--bs-progress-bar-bg: #0d6efd;--bs-progress-bar-transition: width 0.6s ease;display:flex;display:-webkit-flex;height:var(--bs-progress-height);overflow:hidden;font-size:var(--bs-progress-font-size);background-color:var(--bs-progress-bg);border-radius:var(--bs-progress-border-radius)}.progress-bar{display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;justify-content:center;-webkit-justify-content:center;overflow:hidden;color:var(--bs-progress-bar-color);text-align:center;white-space:nowrap;background-color:var(--bs-progress-bar-bg);transition:var(--bs-progress-bar-transition)}@media (prefers-reduced-motion: reduce){.progress-bar{transition:none}}.progress-bar-striped{background-image:linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent);background-size:var(--bs-progress-height) var(--bs-progress-height)}.progress-stacked>.progress{overflow:visible}.progress-stacked>.progress>.progress-bar{width:100%}.progress-bar-animated{animation:1s linear infinite progress-bar-stripes}@media (prefers-reduced-motion: reduce){.progress-bar-animated{animation:none}}.list-group{--bs-list-group-color: var(--bs-body-color);--bs-list-group-bg: var(--bs-body-bg);--bs-list-group-border-color: var(--bs-border-color);--bs-list-group-border-width: var(--bs-border-width);--bs-list-group-border-radius: var(--bs-border-radius);--bs-list-group-item-padding-x: 1rem;--bs-list-group-item-padding-y: .5rem;--bs-list-group-action-color: var(--bs-secondary-color);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-tertiary-bg);--bs-list-group-action-active-color: var(--bs-body-color);--bs-list-group-action-active-bg: var(--bs-secondary-bg);--bs-list-group-disabled-color: var(--bs-secondary-color);--bs-list-group-disabled-bg: 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";counter-increment:section}.list-group-item-action{width:100%;color:var(--bs-list-group-action-color);text-align:inherit}.list-group-item-action:hover,.list-group-item-action:focus{z-index:1;color:var(--bs-list-group-action-hover-color);text-decoration:none;background-color:var(--bs-list-group-action-hover-bg)}.list-group-item-action:active{color:var(--bs-list-group-action-active-color);background-color:var(--bs-list-group-action-active-bg)}.list-group-item{position:relative;display:block;padding:var(--bs-list-group-item-padding-y) var(--bs-list-group-item-padding-x);color:var(--bs-list-group-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-list-group-bg);border:var(--bs-list-group-border-width) solid 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var(--bs-list-group-border-width));border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal>.list-group-item.active{margin-top:0}.list-group-horizontal>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}@media (min-width: 576px){.list-group-horizontal-sm{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-sm>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-sm>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-sm>.list-group-item.active{margin-top:0}.list-group-horizontal-sm>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-sm>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 768px){.list-group-horizontal-md{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-md>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-md>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-md>.list-group-item.active{margin-top:0}.list-group-horizontal-md>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-md>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 992px){.list-group-horizontal-lg{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-lg>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-lg>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-lg>.list-group-item.active{margin-top:0}.list-group-horizontal-lg>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-lg>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 1200px){.list-group-horizontal-xl{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-xl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xl>.list-group-item.active{margin-top:0}.list-group-horizontal-xl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xl>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 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var(--bs-list-group-border-width)}.list-group-flush>.list-group-item:last-child{border-bottom-width:0}.list-group-item-default{--bs-list-group-color: var(--bs-default-text-emphasis);--bs-list-group-bg: var(--bs-default-bg-subtle);--bs-list-group-border-color: var(--bs-default-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-default-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-default-border-subtle);--bs-list-group-active-color: var(--bs-default-bg-subtle);--bs-list-group-active-bg: var(--bs-default-text-emphasis);--bs-list-group-active-border-color: var(--bs-default-text-emphasis)}.list-group-item-primary{--bs-list-group-color: var(--bs-primary-text-emphasis);--bs-list-group-bg: var(--bs-primary-bg-subtle);--bs-list-group-border-color: var(--bs-primary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-primary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-primary-border-subtle);--bs-list-group-active-color: var(--bs-primary-bg-subtle);--bs-list-group-active-bg: var(--bs-primary-text-emphasis);--bs-list-group-active-border-color: var(--bs-primary-text-emphasis)}.list-group-item-secondary{--bs-list-group-color: var(--bs-secondary-text-emphasis);--bs-list-group-bg: var(--bs-secondary-bg-subtle);--bs-list-group-border-color: var(--bs-secondary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-secondary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-secondary-border-subtle);--bs-list-group-active-color: var(--bs-secondary-bg-subtle);--bs-list-group-active-bg: var(--bs-secondary-text-emphasis);--bs-list-group-active-border-color: var(--bs-secondary-text-emphasis)}.list-group-item-success{--bs-list-group-color: var(--bs-success-text-emphasis);--bs-list-group-bg: var(--bs-success-bg-subtle);--bs-list-group-border-color: var(--bs-success-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-success-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-success-border-subtle);--bs-list-group-active-color: var(--bs-success-bg-subtle);--bs-list-group-active-bg: var(--bs-success-text-emphasis);--bs-list-group-active-border-color: var(--bs-success-text-emphasis)}.list-group-item-info{--bs-list-group-color: var(--bs-info-text-emphasis);--bs-list-group-bg: var(--bs-info-bg-subtle);--bs-list-group-border-color: var(--bs-info-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-info-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-info-border-subtle);--bs-list-group-active-color: var(--bs-info-bg-subtle);--bs-list-group-active-bg: var(--bs-info-text-emphasis);--bs-list-group-active-border-color: var(--bs-info-text-emphasis)}.list-group-item-warning{--bs-list-group-color: var(--bs-warning-text-emphasis);--bs-list-group-bg: var(--bs-warning-bg-subtle);--bs-list-group-border-color: var(--bs-warning-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-warning-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-warning-border-subtle);--bs-list-group-active-color: var(--bs-warning-bg-subtle);--bs-list-group-active-bg: var(--bs-warning-text-emphasis);--bs-list-group-active-border-color: var(--bs-warning-text-emphasis)}.list-group-item-danger{--bs-list-group-color: var(--bs-danger-text-emphasis);--bs-list-group-bg: var(--bs-danger-bg-subtle);--bs-list-group-border-color: var(--bs-danger-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-danger-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-danger-border-subtle);--bs-list-group-active-color: var(--bs-danger-bg-subtle);--bs-list-group-active-bg: var(--bs-danger-text-emphasis);--bs-list-group-active-border-color: var(--bs-danger-text-emphasis)}.list-group-item-light{--bs-list-group-color: var(--bs-light-text-emphasis);--bs-list-group-bg: var(--bs-light-bg-subtle);--bs-list-group-border-color: var(--bs-light-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-light-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-light-border-subtle);--bs-list-group-active-color: var(--bs-light-bg-subtle);--bs-list-group-active-bg: var(--bs-light-text-emphasis);--bs-list-group-active-border-color: var(--bs-light-text-emphasis)}.list-group-item-dark{--bs-list-group-color: var(--bs-dark-text-emphasis);--bs-list-group-bg: var(--bs-dark-bg-subtle);--bs-list-group-border-color: var(--bs-dark-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-dark-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-dark-border-subtle);--bs-list-group-active-color: var(--bs-dark-bg-subtle);--bs-list-group-active-bg: var(--bs-dark-text-emphasis);--bs-list-group-active-border-color: var(--bs-dark-text-emphasis)}.btn-close{--bs-btn-close-color: #000;--bs-btn-close-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' 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var(--bs-border-width);position:fixed;top:0;left:0;z-index:var(--bs-modal-zindex);display:none;width:100%;height:100%;overflow-x:hidden;overflow-y:auto;outline:0}.modal-dialog{position:relative;width:auto;margin:var(--bs-modal-margin);pointer-events:none}.modal.fade .modal-dialog{transition:transform 0.3s ease-out;transform:translate(0, -50px)}@media (prefers-reduced-motion: reduce){.modal.fade .modal-dialog{transition:none}}.modal.show .modal-dialog{transform:none}.modal.modal-static .modal-dialog{transform:scale(1.02)}.modal-dialog-scrollable{height:calc(100% - var(--bs-modal-margin) * 2)}.modal-dialog-scrollable .modal-content{max-height:100%;overflow:hidden}.modal-dialog-scrollable .modal-body{overflow-y:auto}.modal-dialog-centered{display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;min-height:calc(100% - var(--bs-modal-margin) * 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diff --git a/index.html b/index.html
index 234b961..75eb763 100644
--- a/index.html
+++ b/index.html
@@ -5,20 +5,14 @@
 <meta charset="utf-8">
 <meta http-equiv="X-UA-Compatible" content="IE=edge">
 <meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
-<meta name="description" content="This should evolve into a repository of all the functions that I (CE)
-  and Clara Paz (CP) have created (so far only CE!) and tested enough to
-  want to store here where we will know we can always find the latest
-  versions.  Please check the MIT licence for disclaimer.">
+<meta name="description" content="This should evolve into a repository of all the functions that I (CE) and Clara Paz (CP) have created (so far only CE!) and tested enough to want to store here where we will know we can always find the latest versions. Please check the MIT licence for disclaimer.">
 <title>Package of Utility Functions for Psychological Therapies, Mental Health and Well-being Work (Created by Chris Evans and Clara Paz) • CECPfuns</title>
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-<meta property="og:description" content="This should evolve into a repository of all the functions that I (CE)
-  and Clara Paz (CP) have created (so far only CE!) and tested enough to
-  want to store here where we will know we can always find the latest
-  versions.  Please check the MIT licence for disclaimer.">
+<!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="Package of Utility Functions for Psychological Therapies, Mental Health and Well-being Work (Created by Chris Evans and Clara Paz)">
+<meta property="og:description" content="This should evolve into a repository of all the functions that I (CE) and Clara Paz (CP) have created (so far only CE!) and tested enough to want to store here where we will know we can always find the latest versions. Please check the MIT licence for disclaimer.">
 <!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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 <script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
@@ -28,7 +22,7 @@
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
     
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="index.html">CECPfuns</a>
 
@@ -145,13 +139,11 @@ <h2 data-toc-skip>Dev status</h2>
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p>
-<p>Developed by Chris Evans.</p>
+  <p>Developed by Chris Evans.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p>
-<p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
 </div>
 
     </footer>
diff --git a/news/index.html b/news/index.html
index c19bc4a..ad75b8f 100644
--- a/news/index.html
+++ b/news/index.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Changelog • CECPfuns</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Changelog"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Changelog • CECPfuns</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Changelog"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
 <script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
 <script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
 <![endif]--></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
     
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">CECPfuns</a>
 
@@ -181,11 +181,11 @@ <h2 class="pkg-version" data-toc-text="0.0.0.7" id="version-0007">Version 0.0.0.
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Chris Evans.</p>
+  <p>Developed by Chris Evans.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
 </div>
 
     </footer></div>
diff --git a/pkgdown.js b/pkgdown.js
index 5fccd9c..9bd6621 100644
--- a/pkgdown.js
+++ b/pkgdown.js
@@ -30,10 +30,10 @@
   /* Clipboard --------------------------*/
 
   function changeTooltipMessage(element, msg) {
-    var tooltipOriginalTitle=element.getAttribute('data-original-title');
-    element.setAttribute('data-original-title', msg);
+    var tooltipOriginalTitle=element.getAttribute('data-bs-original-title');
+    element.setAttribute('data-bs-original-title', msg);
     $(element).tooltip('show');
-    element.setAttribute('data-original-title', tooltipOriginalTitle);
+    element.setAttribute('data-bs-original-title', tooltipOriginalTitle);
   }
 
   if(ClipboardJS.isSupported()) {
@@ -60,7 +60,7 @@
         e.clearSelection();
       });
 
-      clipboard.on('error', function() {
+      clipboard.on('error', function(e) {
         changeTooltipMessage(e.trigger,'Press Ctrl+C or Command+C to copy');
       });
 
diff --git a/pkgdown.yml b/pkgdown.yml
index 5c963db..b05af49 100644
--- a/pkgdown.yml
+++ b/pkgdown.yml
@@ -1,10 +1,10 @@
 pandoc: 3.1.11
-pkgdown: 2.0.7
+pkgdown: 2.0.9
 pkgdown_sha: ~
 articles:
   Background: Background.html
   Bootstrapping: Bootstrapping.html
   Introduction: Introduction.html
   RCSC_framework: RCSC_framework.html
-last_built: 2024-03-30T21:17Z
+last_built: 2024-05-03T14:14Z
 
diff --git a/reference/CECPfuns-package.html b/reference/CECPfuns-package.html
index 105e65b..e5f278b 100644
--- a/reference/CECPfuns-package.html
+++ b/reference/CECPfuns-package.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="This should evolve into a repository of all the functions that I (CE) and Clara Paz (CP) have created (so far only CE!) and tested enough to want to store here where we will know we can always find the latest versions. Please check the MIT licence for disclaimer."><title>CECPfuns: Package of Utility Functions for Psychological Therapies, Mental Health and Well-being Work (Created by Chris Evans and Clara Paz) — CECPfuns-package • CECPfuns</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="CECPfuns: Package of Utility Functions for Psychological Therapies, Mental Health and Well-being Work (Created by Chris Evans and Clara Paz) — CECPfuns-package"><meta property="og:description" content="This should evolve into a repository of all the functions that I (CE) and Clara Paz (CP) have created (so far only CE!) and tested enough to want to store here where we will know we can always find the latest versions. Please check the MIT licence for disclaimer."><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
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diff --git a/reference/checkAllUnique.html b/reference/checkAllUnique.html
index c6e46d4..107ce7f 100644
--- a/reference/checkAllUnique.html
+++ b/reference/checkAllUnique.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Function to check all values of a vector or data frame/tibble column are unique"><title>Function to check all values of a vector or data frame/tibble column are unique — checkAllUnique • CECPfuns</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Function to check all values of a vector or data frame/tibble column are unique — checkAllUnique"><meta property="og:description" content="Function to check all values of a vector or data frame/tibble column are unique"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Function to check all values of a vector or data frame/tibble column are unique"><title>Function to check all values of a vector or data frame/tibble column are unique — checkAllUnique • CECPfuns</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Function to check all values of a vector or data frame/tibble column are unique — checkAllUnique"><meta property="og:description" content="Function to check all values of a vector or data frame/tibble column are unique"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">CECPfuns</a>
 
@@ -277,11 +277,11 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Chris Evans.</p>
+  <p>Developed by Chris Evans.</p>
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-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
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diff --git a/reference/classifyScoresVectorByRCI.html b/reference/classifyScoresVectorByRCI.html
index f83efbe..e406c97 100644
--- a/reference/classifyScoresVectorByRCI.html
+++ b/reference/classifyScoresVectorByRCI.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Function to classify changes using the RCI paradigm"><title>Function to classify changes using the RCI paradigm — classifyScoresVectorByRCI • CECPfuns</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Function to classify changes using the RCI paradigm — classifyScoresVectorByRCI"><meta property="og:description" content="Function to classify changes using the RCI paradigm"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Function to classify changes using the RCI paradigm"><title>Function to classify changes using the RCI paradigm — classifyScoresVectorByRCI • CECPfuns</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Function to classify changes using the RCI paradigm — classifyScoresVectorByRCI"><meta property="og:description" content="Function to classify changes using the RCI paradigm"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
 <script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
 <script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
 <![endif]--></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
     
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">CECPfuns</a>
 
@@ -243,11 +243,11 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Chris Evans.</p>
+  <p>Developed by Chris Evans.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
 </div>
 
     </footer></div>
diff --git a/reference/convert2CEdate.html b/reference/convert2CEdate.html
index 05e05dd..86ba996 100644
--- a/reference/convert2CEdate.html
+++ b/reference/convert2CEdate.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Function to convert Dates to my date format strings"><title>Function to convert Dates to my date format strings — convert2CEdate • CECPfuns</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Function to convert Dates to my date format strings — convert2CEdate"><meta property="og:description" content="Function to convert Dates to my date format strings"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Function to convert Dates to my date format strings"><title>Function to convert Dates to my date format strings — convert2CEdate • CECPfuns</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Function to convert Dates to my date format strings — convert2CEdate"><meta property="og:description" content="Function to convert Dates to my date format strings"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
 <script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
 <script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
 <![endif]--></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
     
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">CECPfuns</a>
 
@@ -118,11 +118,11 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Chris Evans.</p>
+  <p>Developed by Chris Evans.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
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     </footer></div>
diff --git a/reference/convertClipboardAuthorNames.html b/reference/convertClipboardAuthorNames.html
index 0761636..57ea394 100644
--- a/reference/convertClipboardAuthorNames.html
+++ b/reference/convertClipboardAuthorNames.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Function to convert a number of 'Firstname Familyname' lines on the clipboard to 'Familyname, Firstname'"><title>Function to convert a number of 'Firstname Familyname' lines on the clipboard to 'Familyname, Firstname' — convertClipboardAuthorNames • CECPfuns</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Function to convert a number of 'Firstname Familyname' lines on the clipboard to 'Familyname, Firstname' — convertClipboardAuthorNames"><meta property="og:description" content="Function to convert a number of 'Firstname Familyname' lines on the clipboard to 'Familyname, Firstname'"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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 <![endif]--></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
     
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">CECPfuns</a>
 
@@ -138,11 +138,11 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Chris Evans.</p>
+  <p>Developed by Chris Evans.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
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     </footer></div>
diff --git a/reference/convertVector2sentence.html b/reference/convertVector2sentence.html
index a99ed78..119f1ff 100644
--- a/reference/convertVector2sentence.html
+++ b/reference/convertVector2sentence.html
@@ -1,8 +1,6 @@
 <!DOCTYPE html>
 <!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Function that converts a vector to an English language list:
-e.g. 1:3 becomes 1, 2 and 3"><title>Function that converts a vector to an English language list:
-e.g. 1:3 becomes 1, 2 and 3 — convertVector2sentence • CECPfuns</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Function that converts a vector to an English language list:
-e.g. 1:3 becomes 1, 2 and 3 — convertVector2sentence"><meta property="og:description" content="Function that converts a vector to an English language list:
+e.g. 1:3 becomes 1, 2 and 3"><title>Function that converts a vector to an English language list: e.g. 1:3 becomes 1, 2 and 3 — convertVector2sentence • CECPfuns</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Function that converts a vector to an English language list: e.g. 1:3 becomes 1, 2 and 3 — convertVector2sentence"><meta property="og:description" content="Function that converts a vector to an English language list:
 e.g. 1:3 becomes 1, 2 and 3"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
 <script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
 <script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
@@ -10,7 +8,7 @@
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
     
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">CECPfuns</a>
 
@@ -47,8 +45,7 @@
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Function that converts a vector to an English language list:
-e.g. 1:3 becomes 1, 2 and 3</h1>
+      <img src="" class="logo" alt=""><h1>Function that converts a vector to an English language list: e.g. 1:3 becomes 1, 2 and 3</h1>
       
       <div class="d-none name"><code>convertVector2sentence.Rd</code></div>
     </div>
@@ -163,11 +160,11 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Chris Evans.</p>
+  <p>Developed by Chris Evans.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
 </div>
 
     </footer></div>
diff --git a/reference/getBootCICSC.html b/reference/getBootCICSC.html
index 600d435..030cabc 100644
--- a/reference/getBootCICSC.html
+++ b/reference/getBootCICSC.html
@@ -1,8 +1,6 @@
 <!DOCTYPE html>
 <!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Title
-Function designed for use in dplyr (tidyverse) piping to return CSC and bootstrap CI around that"><title>Title
-Function designed for use in dplyr (tidyverse) piping to return CSC and bootstrap CI around that — getBootCICSC • CECPfuns</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Title
-Function designed for use in dplyr (tidyverse) piping to return CSC and bootstrap CI around that — getBootCICSC"><meta property="og:description" content="Title
+Function designed for use in dplyr (tidyverse) piping to return CSC and bootstrap CI around that"><title>Title Function designed for use in dplyr (tidyverse) piping to return CSC and bootstrap CI around that — getBootCICSC • CECPfuns</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Title Function designed for use in dplyr (tidyverse) piping to return CSC and bootstrap CI around that — getBootCICSC"><meta property="og:description" content="Title
 Function designed for use in dplyr (tidyverse) piping to return CSC and bootstrap CI around that"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
 <script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
 <script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
@@ -10,7 +8,7 @@
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
     
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">CECPfuns</a>
 
@@ -47,8 +45,7 @@
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Title
-Function designed for use in dplyr (tidyverse) piping to return CSC and bootstrap CI around that</h1>
+      <img src="" class="logo" alt=""><h1>Title Function designed for use in dplyr (tidyverse) piping to return CSC and bootstrap CI around that</h1>
       
       <div class="d-none name"><code>getBootCICSC.Rd</code></div>
     </div>
@@ -170,11 +167,11 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Chris Evans.</p>
+  <p>Developed by Chris Evans.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
 </div>
 
     </footer></div>
diff --git a/reference/getBootCICorr.html b/reference/getBootCICorr.html
index 6ce62b8..7464f27 100644
--- a/reference/getBootCICorr.html
+++ b/reference/getBootCICorr.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Function to return observed correlation between two variables with bootstrap CI"><title>Function to return observed correlation between two variables with bootstrap CI — getBootCICorr • CECPfuns</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Function to return observed correlation between two variables with bootstrap CI — getBootCICorr"><meta property="og:description" content="Function to return observed correlation between two variables with bootstrap CI"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Function to return observed correlation between two variables with bootstrap CI"><title>Function to return observed correlation between two variables with bootstrap CI — getBootCICorr • CECPfuns</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Function to return observed correlation between two variables with bootstrap CI — getBootCICorr"><meta property="og:description" content="Function to return observed correlation between two variables with bootstrap CI"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
 <script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
 <script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
 <![endif]--></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
     
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">CECPfuns</a>
 
@@ -148,11 +148,11 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Chris Evans.</p>
+  <p>Developed by Chris Evans.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
 </div>
 
     </footer></div>
diff --git a/reference/getBootCIalpha.html b/reference/getBootCIalpha.html
index 0259e38..0c89ee4 100644
--- a/reference/getBootCIalpha.html
+++ b/reference/getBootCIalpha.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="function returning observed Cronbach alpha with bootstrap confidence interval around that value"><title>function returning observed Cronbach alpha with bootstrap confidence interval around that value — getBootCIalpha • CECPfuns</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="function returning observed Cronbach alpha with bootstrap confidence interval around that value — getBootCIalpha"><meta property="og:description" content="function returning observed Cronbach alpha with bootstrap confidence interval around that value"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="function returning observed Cronbach alpha with bootstrap confidence interval around that value"><title>function returning observed Cronbach alpha with bootstrap confidence interval around that value — getBootCIalpha • CECPfuns</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="function returning observed Cronbach alpha with bootstrap confidence interval around that value — getBootCIalpha"><meta property="og:description" content="function returning observed Cronbach alpha with bootstrap confidence interval around that value"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
     
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">CECPfuns</a>
 
@@ -146,11 +146,11 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Chris Evans.</p>
+  <p>Developed by Chris Evans.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
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diff --git a/reference/getBootCIgrpMeanDiff.html b/reference/getBootCIgrpMeanDiff.html
index d3bc8ca..bcf69b2 100644
--- a/reference/getBootCIgrpMeanDiff.html
+++ b/reference/getBootCIgrpMeanDiff.html
@@ -1,8 +1,6 @@
 <!DOCTYPE html>
 <!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Title
-Function designed for use in dplyr (tidyverse) piping to return mean diff and bootstrap CI around that"><title>Title
-Function designed for use in dplyr (tidyverse) piping to return mean diff and bootstrap CI around that — getBootCIgrpMeanDiff • CECPfuns</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Title
-Function designed for use in dplyr (tidyverse) piping to return mean diff and bootstrap CI around that — getBootCIgrpMeanDiff"><meta property="og:description" content="Title
+Function designed for use in dplyr (tidyverse) piping to return mean diff and bootstrap CI around that"><title>Title Function designed for use in dplyr (tidyverse) piping to return mean diff and bootstrap CI around that — getBootCIgrpMeanDiff • CECPfuns</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Title Function designed for use in dplyr (tidyverse) piping to return mean diff and bootstrap CI around that — getBootCIgrpMeanDiff"><meta property="og:description" content="Title
 Function designed for use in dplyr (tidyverse) piping to return mean diff and bootstrap CI around that"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
 <script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
 <script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
@@ -10,7 +8,7 @@
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
     
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">CECPfuns</a>
 
@@ -47,8 +45,7 @@
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Title
-Function designed for use in dplyr (tidyverse) piping to return mean diff and bootstrap CI around that</h1>
+      <img src="" class="logo" alt=""><h1>Title Function designed for use in dplyr (tidyverse) piping to return mean diff and bootstrap CI around that</h1>
       
       <div class="d-none name"><code>getBootCIgrpMeanDiff.Rd</code></div>
     </div>
@@ -155,11 +152,11 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Chris Evans.</p>
+  <p>Developed by Chris Evans.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
 </div>
 
     </footer></div>
diff --git a/reference/getBootCImean.html b/reference/getBootCImean.html
index a7fb0f3..abbb970 100644
--- a/reference/getBootCImean.html
+++ b/reference/getBootCImean.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Function to return bootstrap CI around observed mean"><title>Function to return bootstrap CI around observed mean — getBootCImean • CECPfuns</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Function to return bootstrap CI around observed mean — getBootCImean"><meta property="og:description" content="Function to return bootstrap CI around observed mean"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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diff --git a/reference/getCIPearson.html b/reference/getCIPearson.html
index a1ac9b5..6fd8ab8 100644
--- a/reference/getCIPearson.html
+++ b/reference/getCIPearson.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Function to return parametric CI around observed Pearson correlation"><title>Function to return parametric CI around observed Pearson correlation — getCIPearson • CECPfuns</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Function to return parametric CI around observed Pearson correlation — getCIPearson"><meta property="og:description" content="Function to return parametric CI around observed Pearson correlation"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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+  <p>Developed by Chris Evans.</p>
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diff --git a/reference/getCISpearman.html b/reference/getCISpearman.html
index 85a1fdd..3ef98e5 100644
--- a/reference/getCISpearman.html
+++ b/reference/getCISpearman.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
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-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">CECPfuns</a>
 
@@ -195,11 +195,11 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 
 
     <footer><div class="pkgdown-footer-left">
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+  <p>Developed by Chris Evans.</p>
 </div>
 
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-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
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diff --git a/reference/getCIforQuantiles.html b/reference/getCIforQuantiles.html
index f34a8a4..45f2ad0 100644
--- a/reference/getCIforQuantiles.html
+++ b/reference/getCIforQuantiles.html
@@ -1,8 +1,6 @@
 <!DOCTYPE html>
 <!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Function returns a tibble of quantiles and confidence interval of quantiles for a range of probabilities.
-'"><title>Function returns a tibble of quantiles and confidence interval of quantiles for a range of probabilities.
-' — getCIforQuantiles • CECPfuns</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Function returns a tibble of quantiles and confidence interval of quantiles for a range of probabilities.
-' — getCIforQuantiles"><meta property="og:description" content="Function returns a tibble of quantiles and confidence interval of quantiles for a range of probabilities.
+'"><title>Function returns a tibble of quantiles and confidence interval of quantiles for a range of probabilities. ' — getCIforQuantiles • CECPfuns</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Function returns a tibble of quantiles and confidence interval of quantiles for a range of probabilities. ' — getCIforQuantiles"><meta property="og:description" content="Function returns a tibble of quantiles and confidence interval of quantiles for a range of probabilities.
 '"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
 <script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
 <script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
@@ -10,7 +8,7 @@
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
     
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">CECPfuns</a>
 
@@ -47,8 +45,7 @@
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Function returns a tibble of quantiles and confidence interval of quantiles for a range of probabilities.
-'</h1>
+      <img src="" class="logo" alt=""><h1>Function returns a tibble of quantiles and confidence interval of quantiles for a range of probabilities. '</h1>
       
       <div class="d-none name"><code>getCIforQuantiles.Rd</code></div>
     </div>
@@ -191,11 +188,11 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Chris Evans.</p>
+  <p>Developed by Chris Evans.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
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     </footer></div>
diff --git a/reference/getCSC.html b/reference/getCSC.html
index 9f1e7cd..b857eb8 100644
--- a/reference/getCSC.html
+++ b/reference/getCSC.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Fairly trivial function to compute CSC, mainly useful if using group_by() piping to find CSCs for various groups/subsets in your data."><title>Function to return Jacobson (et al.) Clinically Significant Change (CSC) — getCSC • CECPfuns</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Function to return Jacobson (et al.) Clinically Significant Change (CSC) — getCSC"><meta property="og:description" content="Fairly trivial function to compute CSC, mainly useful if using group_by() piping to find CSCs for various groups/subsets in your data."><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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diff --git a/reference/getChronbachAlpha.html b/reference/getChronbachAlpha.html
index dd19ea5..39724fd 100644
--- a/reference/getChronbachAlpha.html
+++ b/reference/getChronbachAlpha.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Simple function to return Cronbach's alpha"><title>Simple function to return Cronbach's alpha — getChronbachAlpha • CECPfuns</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Simple function to return Cronbach's alpha — getChronbachAlpha"><meta property="og:description" content="Simple function to return Cronbach's alpha"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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@@ -133,11 +133,11 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 
 
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diff --git a/reference/getICCfromMLM.html b/reference/getICCfromMLM.html
index 33977d9..d9cca84 100644
--- a/reference/getICCfromMLM.html
+++ b/reference/getICCfromMLM.html
@@ -1,12 +1,12 @@
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-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
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     <a class="navbar-brand me-2" href="../index.html">CECPfuns</a>
 
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diff --git a/reference/getNNA.html b/reference/getNNA.html
index 4e31c8d..fa798a1 100644
--- a/reference/getNNA.html
+++ b/reference/getNNA.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Trivial function to count number of NA values in input"><title>Trivial function to count number of NA values in input — getNNA • CECPfuns</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Trivial function to count number of NA values in input — getNNA"><meta property="og:description" content="Trivial function to count number of NA values in input"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
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     <a class="navbar-brand me-2" href="../index.html">CECPfuns</a>
 
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-  <p></p><p>Developed by Chris Evans.</p>
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diff --git a/reference/getNOK.html b/reference/getNOK.html
index b183203..f466d5b 100644
--- a/reference/getNOK.html
+++ b/reference/getNOK.html
@@ -1,12 +1,12 @@
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diff --git a/reference/getRCIfromSDandAlpha.html b/reference/getRCIfromSDandAlpha.html
index 8d4882f..31fb051 100644
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+++ b/reference/getRCIfromSDandAlpha.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
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diff --git a/reference/getRelBySpearmanBrown.html b/reference/getRelBySpearmanBrown.html
index 731cedb..19c1df2 100644
--- a/reference/getRelBySpearmanBrown.html
+++ b/reference/getRelBySpearmanBrown.html
@@ -1,12 +1,12 @@
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+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Function using the Spearman-Brown formula to predict reliability for new length or get length for desired reliability"><title>Function using the Spearman-Brown formula to predict reliability for new length or get length for desired reliability — getRelBySpearmanBrown • CECPfuns</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Function using the Spearman-Brown formula to predict reliability for new length or get length for desired reliability — getRelBySpearmanBrown"><meta property="og:description" content="Function using the Spearman-Brown formula to predict reliability for new length or get length for desired reliability"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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 <![endif]--></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
     
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">CECPfuns</a>
 
@@ -110,6 +110,15 @@ <h2 id="background">background<a class="anchor" aria-label="anchor" href="#backg
 That also gives some arguments that the formula should really be termed the Brown-Spearman formula but I am
 bowing to historical precedent here.</p>
     </div>
+    <div class="section level2">
+    <h2 id="related-resources">related_resources<a class="anchor" aria-label="anchor" href="#related-resources"></a></h2>
+    
+
+
+<ol><li><p>In my <a href="https://www.psyctc.org/psyctc/book/glossary/" class="external-link">OMbook glossary</a>: entry <a href="https://www.psyctc.org/psyctc/glossary2/spearman-brown-formula/" class="external-link">here</a>.</p></li>
+<li><p>In my <a href="https://www.psyctc.org/Rblog/index.html" class="external-link">Rblog</a>: entry <a href="https://www.psyctc.org/Rblog/posts/2021-04-09-spearman-brown-formula/" class="external-link">here</a>.</p></li>
+<li><p>In my <a href="https://shiny.psyctc.org/" class="external-link">online shiny apps</a>: app that uses this function to give predicted reliabilities given length of existing measure and its internal reliability <a href="https://shiny.psyctc.org/apps/Spearman-Brown/" class="external-link">here</a>.</p></li>
+</ol></div>
     <div class="section level2">
     <h2 id="history-development-log">History/development log<a class="anchor" aria-label="anchor" href="#history-development-log"></a></h2>
     
@@ -146,11 +155,11 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Chris Evans.</p>
+  <p>Developed by Chris Evans.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
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diff --git a/reference/getScoreFromItems.html b/reference/getScoreFromItems.html
index 89db3ae..0a5bf32 100644
--- a/reference/getScoreFromItems.html
+++ b/reference/getScoreFromItems.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Title Function to convert a vector of item responses to a scale/measure score"><title>Title Function to convert a vector of item responses to a scale/measure score — getScoreFromItems • CECPfuns</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Title Function to convert a vector of item responses to a scale/measure score — getScoreFromItems"><meta property="og:description" content="Title Function to convert a vector of item responses to a scale/measure score"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Title Function to convert a vector of item responses to a scale/measure score"><title>Title Function to convert a vector of item responses to a scale/measure score — getScoreFromItems • CECPfuns</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Title Function to convert a vector of item responses to a scale/measure score — getScoreFromItems"><meta property="og:description" content="Title Function to convert a vector of item responses to a scale/measure score"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
     
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">CECPfuns</a>
 
@@ -126,11 +126,11 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Chris Evans.</p>
+  <p>Developed by Chris Evans.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
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diff --git a/reference/hyphenateWords.html b/reference/hyphenateWords.html
index 3049b92..8433f8d 100644
--- a/reference/hyphenateWords.html
+++ b/reference/hyphenateWords.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content='Function to convert numbers to hyphenated (English) words, e.g. 87 to "eighty-seven"'><title>Function to convert numbers to hyphenated (English) words, e.g. 87 to "eighty-seven" — hyphenateWords • CECPfuns</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Function to convert numbers to hyphenated (English) words, e.g. 87 to " eighty-seven hyphenatewords><meta property="og:description" content='Function to convert numbers to hyphenated (English) words, e.g. 87 to "eighty-seven"'><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content='Function to convert numbers to hyphenated (English) words, e.g. 87 to "eighty-seven"'><title>Function to convert numbers to hyphenated (English) words, e.g. 87 to "eighty-seven" — hyphenateWords • CECPfuns</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Function to convert numbers to hyphenated (English) words, e.g. 87 to " eighty-seven hyphenatewords><meta property="og:description" content='Function to convert numbers to hyphenated (English) words, e.g. 87 to "eighty-seven"'><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
 <script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
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 <![endif]--></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
     
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">CECPfuns</a>
 
@@ -104,11 +104,11 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Chris Evans.</p>
+  <p>Developed by Chris Evans.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
 </div>
 
     </footer></div>
diff --git a/reference/index.html b/reference/index.html
index fee42b6..281f972 100644
--- a/reference/index.html
+++ b/reference/index.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Function reference • CECPfuns</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Function reference"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Function reference • CECPfuns</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Function reference"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
 <script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
 <script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
 <![endif]--></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
     
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">CECPfuns</a>
 
@@ -86,14 +86,12 @@ <h2 id="all-functions">All functions<a class="anchor" aria-label="anchor" href="
           
           <code><a href="convertVector2sentence.html">convertVector2sentence()</a></code> <code><a href="convertVector2sentence.html">convertVectorToSentence()</a></code> 
         </dt>
-        <dd>Function that converts a vector to an English language list:
-e.g. 1:3 becomes 1, 2 and 3</dd>
+        <dd>Function that converts a vector to an English language list: e.g. 1:3 becomes 1, 2 and 3</dd>
       </dl><dl><dt>
           
           <code><a href="getBootCICSC.html">getBootCICSC()</a></code> 
         </dt>
-        <dd>Title
-Function designed for use in dplyr (tidyverse) piping to return CSC and bootstrap CI around that</dd>
+        <dd>Title Function designed for use in dplyr (tidyverse) piping to return CSC and bootstrap CI around that</dd>
       </dl><dl><dt>
           
           <code><a href="getBootCICorr.html">getBootCICorr()</a></code> 
@@ -108,8 +106,7 @@ <h2 id="all-functions">All functions<a class="anchor" aria-label="anchor" href="
           
           <code><a href="getBootCIgrpMeanDiff.html">getBootCIgrpMeanDiff()</a></code> 
         </dt>
-        <dd>Title
-Function designed for use in dplyr (tidyverse) piping to return mean diff and bootstrap CI around that</dd>
+        <dd>Title Function designed for use in dplyr (tidyverse) piping to return mean diff and bootstrap CI around that</dd>
       </dl><dl><dt>
           
           <code><a href="getBootCImean.html">getBootCImean()</a></code> 
@@ -129,8 +126,7 @@ <h2 id="all-functions">All functions<a class="anchor" aria-label="anchor" href="
           
           <code><a href="getCIforQuantiles.html">getCIforQuantiles()</a></code> 
         </dt>
-        <dd>Function returns a tibble of quantiles and confidence interval of quantiles for a range of probabilities.
-'</dd>
+        <dd>Function returns a tibble of quantiles and confidence interval of quantiles for a range of probabilities. '</dd>
       </dl><dl><dt>
           
           <code><a href="getCSC.html">getCSC()</a></code> 
@@ -206,11 +202,11 @@ <h2 id="all-functions">All functions<a class="anchor" aria-label="anchor" href="
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Chris Evans.</p>
+  <p>Developed by Chris Evans.</p>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
 </div>
 
     </footer></div>
diff --git a/reference/isNothing.html b/reference/isNothing.html
index 1508fd8..1cffa23 100644
--- a/reference/isNothing.html
+++ b/reference/isNothing.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
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diff --git a/reference/isOneToOne.html b/reference/isOneToOne.html
index 0530fd3..33efb9d 100644
--- a/reference/isOneToOne.html
+++ b/reference/isOneToOne.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Data checking function to check if the contents of two variables have a 1:1 mapping"><title>Data checking function to check if the contents of two variables have a 1:1 mapping — isOneToOne • CECPfuns</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Data checking function to check if the contents of two variables have a 1:1 mapping — isOneToOne"><meta property="og:description" content="Data checking function to check if the contents of two variables have a 1:1 mapping"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Data checking function to check if the contents of two variables have a 1:1 mapping"><title>Data checking function to check if the contents of two variables have a 1:1 mapping — isOneToOne • CECPfuns</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.11/clipboard.min.js" integrity="sha512-7O5pXpc0oCRrxk8RUfDYFgn0nO1t+jLuIOQdOMRp4APB7uZ4vSjspzp5y6YDtDs4VzUSTbWzBFZ/LKJhnyFOKw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Data checking function to check if the contents of two variables have a 1:1 mapping — isOneToOne"><meta property="og:description" content="Data checking function to check if the contents of two variables have a 1:1 mapping"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">CECPfuns</a>
 
@@ -136,11 +136,11 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 
 
     <footer><div class="pkgdown-footer-left">
-  <p></p><p>Developed by Chris Evans.</p>
+  <p>Developed by Chris Evans.</p>
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-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.7.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.9.</p>
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diff --git a/reference/lookupCSCgenderAndAge.html b/reference/lookupCSCgenderAndAge.html
index 12fa3e2..5c32eb7 100644
--- a/reference/lookupCSCgenderAndAge.html
+++ b/reference/lookupCSCgenderAndAge.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
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-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
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diff --git a/reference/plotBinconf.html b/reference/plotBinconf.html
index f8c4994..df57644 100644
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+++ b/reference/plotBinconf.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Function outputting a plot of confidence interval around a proportion for a range of sample sizes"><title>Function outputting a plot of confidence interval around a proportion for a range of sample sizes — plotBinconf • CECPfuns</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Function outputting a plot of confidence interval around a proportion for a range of sample sizes — plotBinconf"><meta property="og:description" content="Function outputting a plot of confidence interval around a proportion for a range of sample sizes"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
+    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light" data-bs-theme="light"><div class="container">
     
     <a class="navbar-brand me-2" href="../index.html">CECPfuns</a>
 
@@ -169,11 +169,11 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 
 
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diff --git a/reference/plotCIPearson.html b/reference/plotCIPearson.html
index 622e559..705b9e7 100644
--- a/reference/plotCIPearson.html
+++ b/reference/plotCIPearson.html
@@ -1,12 +1,12 @@
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diff --git a/reference/plotQuantileCIsfromDat.html b/reference/plotQuantileCIsfromDat.html
index 0d7ab16..4fffabf 100644
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+++ b/reference/plotQuantileCIsfromDat.html
@@ -1,12 +1,12 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Title Function that plots ecdf of a vector of values with quantiles marked with their CIs"><title>Title Function that plots ecdf of a vector of values with quantiles marked with their CIs — plotQuantileCIsfromDat • CECPfuns</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Title Function that plots ecdf of a vector of values with quantiles marked with their CIs — plotQuantileCIsfromDat"><meta property="og:description" content="Title Function that plots ecdf of a vector of values with quantiles marked with their CIs"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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diff --git a/search.json b/search.json
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@@ -1 +1 @@
-[{"path":[]},{"path":"/CODE_OF_CONDUCT.html","id":"our-pledge","dir":"","previous_headings":"","what":"Our Pledge","title":"Contributor Covenant Code of Conduct","text":"members, contributors, leaders pledge make participation community harassment-free experience everyone, regardless age, body size, visible invisible disability, ethnicity, sex characteristics, gender identity expression, level experience, education, socio-economic status, nationality, personal appearance, race, religion, sexual identity orientation. pledge act interact ways contribute open, welcoming, diverse, inclusive, healthy community.","code":""},{"path":"/CODE_OF_CONDUCT.html","id":"our-standards","dir":"","previous_headings":"","what":"Our Standards","title":"Contributor Covenant Code of Conduct","text":"Examples behavior contributes positive environment community include: Demonstrating empathy kindness toward people respectful differing opinions, viewpoints, experiences Giving gracefully accepting constructive feedback Accepting responsibility apologizing affected mistakes, learning experience Focusing best just us individuals, overall community Examples unacceptable behavior include: use sexualized language imagery, sexual attention advances kind Trolling, insulting derogatory comments, personal political attacks Public private harassment Publishing others’ private information, physical email address, without explicit permission conduct reasonably considered inappropriate professional setting","code":""},{"path":"/CODE_OF_CONDUCT.html","id":"enforcement-responsibilities","dir":"","previous_headings":"","what":"Enforcement Responsibilities","title":"Contributor Covenant Code of Conduct","text":"Community leaders responsible clarifying enforcing standards acceptable behavior take appropriate fair corrective action response behavior deem inappropriate, threatening, offensive, harmful. 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Translations available https://www.contributor-covenant.org/translations.","code":""},{"path":"/LICENSE.html","id":null,"dir":"","previous_headings":"","what":"MIT License","title":"MIT License","text":"Copyright (c) 2021 Chris Evans Permission hereby granted, free charge, person obtaining copy software associated documentation files (“Software”), deal Software without restriction, including without limitation rights use, copy, modify, merge, publish, distribute, sublicense, /sell copies Software, permit persons Software furnished , subject following conditions: copyright notice permission notice shall included copies substantial portions Software. SOFTWARE PROVIDED “”, WITHOUT WARRANTY KIND, EXPRESS IMPLIED, INCLUDING LIMITED WARRANTIES MERCHANTABILITY, FITNESS PARTICULAR PURPOSE NONINFRINGEMENT. EVENT SHALL AUTHORS COPYRIGHT HOLDERS LIABLE CLAIM, DAMAGES LIABILITY, WHETHER ACTION CONTRACT, TORT OTHERWISE, ARISING , CONNECTION SOFTWARE USE DEALINGS SOFTWARE.","code":""},{"path":"/articles/Background.html","id":"background","dir":"Articles","previous_headings":"","what":"Background","title":"Background","text":"primary goal driving creation CECPfuns selfish: single repository functions keep date easily find latest version potentially reusable functions written. first public posting package . Two colleagues, Dr. Clara Paz Emily Blackshaw encouraged think might become something use others now much working toward aim , mind put package GitHub https://github.com/cpsyctc/CECPfuns.","code":""},{"path":"/articles/Background.html","id":"who-are-we","dir":"Articles","previous_headings":"","what":"Who are we?","title":"Background","text":"can find Clara . can find Emily PhD, supervising, ResearchGate project page. biggest research programme, overlaps Emily’s work, CORE system https://www.coresystemtrust.org.uk/ web site non-CORE work, slowly (re)building much earlier one “R blog” “SAFAQ” called pages created using R distill package pages relate book, co-authored Jo-anne Carlyle, coming autumn 2021: watch space! personal site.","code":""},{"path":"/articles/Bootstrapping.html","id":"bootstrapping-and-confidence-intervals","dir":"Articles","previous_headings":"","what":"Bootstrapping and confidence intervals","title":"Bootstrapping","text":"Since first discovered confidence intervals (CIs) back 1980s, discovered bootstrapping probably late 90s early naughties, advantages respectively traditional null hypothesis significance testing (NHST) splitting analytic methods parametric non-parametric clumsy way utterly persuasive . However, exceptions late implemented SPSS dominant statistical software used psychologists psychotherapy researchers recently. R, mainly excellent boot package offered way bring two together leant many papers probably 15 years now. However, boot::boot() always friendliest R functions coupling tidverse way things R isn’t always easy boot firmly “base R” tradition. start thinking CECPfuns package wanted pull together various bootstrap functions, often clumsy ones, make sure latest versions hand tested documented remember worked ’d done inside fairly easily. started think making CECPfuns fairly public realised function help non-statisticians relative R newcomers use bootstrapping get confidence intervals typical therapy data analyses research. moment functions package : getBootCICorr() getBootCIalpha() getBootCImean() getBootCICSC() , think, sufficient information people use help files pretty extensive trapping improbable impossible inputs hope error messages warnings protective (boot::boot() brilliant always transparently helpful try something stupid !) next months bootstrap functions sample statistics use lot added add sections vignette. Background confidence intervals (fully) happy understand ideas including simple theory relationships CIs NHST. CIs . bit distinction parametric statistical tests non-parametric tests, relate distibutions continuous variables, traditional way choosing problematical. introduction bootstrapping. don’t need get confidence interval around proportion ’s useful sample statistics aren’t simple counts. Worked examples CIs bootstrapped CIs commonly meaningful analyses therapy data.","code":""},{"path":"/articles/Introduction.html","id":"installation","dir":"Articles","previous_headings":"","what":"Installation","title":"Introduction","text":"always able install latest version package remotes::install_github(\"cpsyctc/CECPfuns\", build_vignettes = TRUE) devtools::install_github(\"cpsyctc/CECPfuns\", build_vignettes = TRUE) Clearly, make commands work need installed either massive (amazing) devtools package (install.packages(\"devtools\")) much lighter remotes package (install.packages(\"remotes\")) largely wrapper devtools functions. Please check MIT licence liability disclaimer: use functions entirely risk.","code":""},{"path":"/articles/Introduction.html","id":"how-might-you-find-this-package-useful","dir":"Articles","previous_headings":"","what":"How might you find this package useful?","title":"Introduction","text":"functions various areas needs: data cleaning/checking shaping analysis, e.g. isOneToOne(), getNOK() functions provide statistical psychometric analyses, e.g. getCSC(), getBootCImean() functions illustrate help analyses, e.g. plotBinconf() miscellaneous functions made life easier! Clara Emily found functions useful functions helped us analyses Emily’s enormous PhD papers Clara published. imagine others working mental health, well-, therapy worlds also find useful even useful universities training settings R replacing SPSS.","code":""},{"path":[]},{"path":"/articles/Introduction.html","id":"operating-system-r-version-and-r-package-requirements","dir":"Articles","previous_headings":"How will it be best to use the package?","what":"Operating system, R version and R package requirements","title":"Introduction","text":"trying make sure functions run major operating systems: Linux, Windows Mac work back R 3.5. moment think works fine permutations systems major releases R since 3.6. theory work 3.5 R-hub test machine gives error saying package tibble CECPfuns depends available though tibble package page says works R ≥ 3.1.0 something odd may may able sort . find package won’t work system R ≥ 3.5.0 contact details system errors see ’ll see can make changes fix .","code":""},{"path":"/articles/Introduction.html","id":"why-tidyverse","dir":"Articles","previous_headings":"How will it be best to use the package?","what":"Why tidyverse?","title":"Introduction","text":"last year , since time probably late 2019, using tidyverse realm within rather diverse ecosystems R, see . ’s probable sensible reading already tidyverse user want understand design decisions made. next post SAFAQ R blog piping, rowwise() also probable sensible reading says bit many functions designed can used either standalone dplyr pipes. particularly useful might want run analyses entire dataset also separately subgroups, e.g. gender, therapist. page Wisdom(!) contains, little ruefully, many things learned hard way data checking, cleaning, mangling analysing last three decades. now converges well reproducibility movement.","code":""},{"path":[]},{"path":"/articles/Introduction.html","id":"code","dir":"Articles","previous_headings":"Design choices","what":"Code","title":"Introduction","text":"code R: C, C++, FORTRAN ’re really beyond programming abilities. tried indent space code following conventions lintr::lint() likes lot space consistent indenting. also tried comment things liberally. Perhaps sometimes overdone code might sufficiently clear need comments. However, know coding good (’m essentially self-taught: week introduction FORTRAN students computing 1975). now sometimes find working long thin format datasets million rows climb functions may get run sizes data, however, work much, much smaller almost never worried speed whether large numbers break anything. put error traps bootstrapping functions think number replications might tie things long time. However, think always allowed traps overridden.","code":""},{"path":"/articles/Introduction.html","id":"messages-error-messages-and-warnings","dir":"Articles","previous_headings":"Design choices","what":"Messages, error messages and warnings","title":"Introduction","text":"tried put error messages stop functions rather warnings. Sometimes, might conceivably sensible override trap value want input function tried warn , tried give function argument allows turn error warning. put warnings rarer cases really don’t think error stopping things correct, think input might mistake. also put messages functions , think always also added “verbose =” argument set FALSE, suppress warning. put ridiculous numbers sanity checks inputs arguments, often > 10 even fairly simple functions. rationale want package fairly friendly relative newcomers R, using infrequently. done try avoid situation put something silly function passes deeper function step result error message see can hard understand won’t immediately point error. aspiration everything might meant gets trapped goes .","code":""},{"path":"/articles/Introduction.html","id":"functionnamesareverlongand-names-generally","dir":"Articles","previous_headings":"Design choices","what":"FunctionNamesAreVerlongAnd … names generally!","title":"Introduction","text":"used long names functions arguments. ’m sorry think extra typing offset reduced confusion. function names tend start verb: “classify”, “get” “plot” recurring ones. also using rather debased “camelCase” names start lower case letter upper case letters mark space lost ordinary English. However, can’t bear use getNNa “get Number NA values” ’s getNNA. Generally priviledged multiple capital letters English abbreviations strict camelCase way. tried use names inside functions start class object: vecN, valX, listNames, matCorr, tibData. However, think won’t see unless want see code inside function, can always functionName, .e. function without usual “()” end.","code":""},{"path":"/articles/Introduction.html","id":"synonyms","dir":"Articles","previous_headings":"Design choices","what":"Synonyms","title":"Introduction","text":"Occasionally created synonym function, example checkIsOneToOne() simply function isOneToOne() ask ### Code testing used excellent testthat library tried write tests functions. Every function tests sanity tests inputs/arguments give fun, function can give warnings, tested generally put test expected output sample input. However, moment testing ggplot output plotFunction() functions suspect involve reset test targets whenever ggplot() updated. tests get run every time update package run local machine also major operating systems major R releases back 3.5 (see requirements).","code":""},{"path":"/articles/Introduction.html","id":"help-pages-and-vignettes","dir":"Articles","previous_headings":"Design choices","what":"Help pages and vignettes","title":"Introduction","text":"trying make help pages far extensive many R functions tried write give basics enable run function, know arguments returns, also give lot examples use function. unusually, tried give least statistical, psychometric pragmatic background function. also planning build lot vignettes package often link number functions together give background perhaps illustrations use output. also aiming help pages, particularly vignettes link web resources, particularly (’s just narcissism: ’s also responsible keeping links working logical links shouldn’t break). moment vignettes : introduction background package (vignette(\"Background\", package = \"CECPfuns\")) information RCSC framework (vignette(\"RCSC_framework\", package = \"CECPfuns\")) information confidence intervals (CIs) bootstrapping (vignette(\"Bootstrapping\", package = \"CECPfuns\"))","code":""},{"path":"/articles/Introduction.html","id":"background","dir":"Articles","previous_headings":"","what":"Background","title":"Introduction","text":"can find background tiny team working , background, background vignette. able get .","code":"vignette(\"Background\", package = \"CECPfuns\")"},{"path":"/articles/Introduction.html","id":"to-do-list","dir":"Articles","previous_headings":"","what":"To do list!","title":"Introduction","text":"Sadly, list long certainly incomplete. sure continue develop, package hope, years! General enhancement package Improve help pages existing functions Add tests: added functions far, expansion? Complete vignettes exist add . Add data UK YP-CORE cutting points Functions Add getScore() Add getCOREOMscores() (CORE-OM) Add getCORESFAOMscores() (CORE-SF/) Add getCORESFBOMscores() (CORE-SF/B) Add classifyYPCOREScores() (YP-CORE, age gender) Add classifyScoresGeneric() Add getRCIfromItemData() Add getBootCIRCIfromScoresAndAlpha() Add getBootCIRCIfromItemData() Add getBootCIMeanDiff() Add getHedgesg() Add getCohend() (deal “-2” issue) Add getCohendPaired() Add convCohend2Hedgesg() (deal “-2”) Add countRCSCnumbers() (allow gender?) Add plotJacobsonRCSC() (ditto) Add findYourFunctions() Add getRmdFileStats() Add readCEdates() perhaps functions standard reports (fairly) standard CORE datasets (feed separate Rmd templates)","code":""},{"path":"/articles/RCSC_framework.html","id":"the-rcsc-framework","dir":"Articles","previous_headings":"","what":"The RCSC framework","title":"RCSC_framework","text":"Stuff needed!","code":""},{"path":"/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Chris Evans. Author, maintainer, copyright holder. Clara Paz. Consultant, reviewer. Emily Blackshaw. Reviewer.","code":""},{"path":"/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Evans E (????). CECPfuns: Package Utility Functions Psychological Therapies, Mental Health Well-work (Created Chris Evans Clara Paz). R package version 0.0.0.9041, https://github.com/cpsyctc/CECPfuns.","code":"@Manual{,   title = {{CECPfuns}: Package of Utility Functions for Psychological Therapies, Mental Health and Well-being work (Created by Chris Evans and Clara Paz)},   author = {Evans Evans},   note = {R package version 0.0.0.9041},   url = {https://github.com/cpsyctc/CECPfuns}, }"},{"path":"/index.html","id":"cecpfuns","dir":"","previous_headings":"","what":"Package of Utility Functions for Psychological Therapies, Mental Health and Well-being Work (Created by Chris Evans and Clara Paz)","title":"Package of Utility Functions for Psychological Therapies, Mental Health and Well-being Work (Created by Chris Evans and Clara Paz)","text":"goal driving creation CECPfuns largely selfish: make sure single, date, repository can find potentially reusable functions written. However, something much encouraged (Dr. Clara Paz)[ https://investigacion.udla.edu.ec/udla_teams/clara-paz/] contributed functions general idea package. Input also come (Emily Blackshaw)[https://www.researchgate.net/profile/Emily_Blackshaw2]. possible functions may use others now uploading GitHub https://github.com/cpsyctc/CECPfuns significant changes. also now pkgdown produced web site package https://cecpfuns.psyctc.org/.","code":""},{"path":"/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"Package of Utility Functions for Psychological Therapies, Mental Health and Well-being Work (Created by Chris Evans and Clara Paz)","text":"can install latest version CECPfuns https://github.com/cpsyctc/CECPfuns. really want make sure always latest version, can look every time launch R, see .","code":"devtools::install_github(\"cpsyctc/CECPfuns\", build_vignettes = TRUE) ### or remotes::install_github(\"cpsyctc/CECPfuns\", build_vignettes = TRUE)"},{"path":"/index.html","id":"background-information","dir":"","previous_headings":"","what":"Background information","title":"Package of Utility Functions for Psychological Therapies, Mental Health and Well-being Work (Created by Chris Evans and Clara Paz)","text":", can find Clara https://investigacion.udla.edu.ec/udla_teams/clara-paz/, can find Emily https://www.researchgate.net/profile/Emily_Blackshaw2 PhD supervising ResearchGate, biggest research programme, overlaps Emily’s work, CORE system: https://www.corestemtrust.org.uk/ web site non-CORE work slowly building (much earlier one) https://www.psyctc.org/psyctc/ personal site https://www.psyctc.org/pelerinage2016.","code":""},{"path":"/index.html","id":"licence-and-disclaimer","dir":"","previous_headings":"","what":"Licence and disclaimer","title":"Package of Utility Functions for Psychological Therapies, Mental Health and Well-being Work (Created by Chris Evans and Clara Paz)","text":"package licensed MIT licence https://opensource.org/licenses/MIT means able reuse anything find useful fee long comply terms licence. licence capitalised disclaimer: SOFTWARE PROVIDED “”, WITHOUT WARRANTY KIND, EXPRESS IMPLIED, INCLUDING LIMITED WARRANTIES MERCHANTABILITY, FITNESS PARTICULAR PURPOSE NONINFRINGEMENT. EVENT SHALL AUTHORS COPYRIGHT HOLDERS LIABLE CLAIM, DAMAGES LIABILITY, WHETHER ACTION CONTRACT, TORT OTHERWISE, ARISING , CONNECTION SOFTWARE USE DEALINGS SOFTWARE.","code":""},{"path":"/reference/CECPfuns-package.html","id":null,"dir":"Reference","previous_headings":"","what":"CECPfuns: Package of Utility Functions for Psychological Therapies, Mental Health and Well-being Work (Created by Chris Evans and Clara Paz) — CECPfuns-package","title":"CECPfuns: Package of Utility Functions for Psychological Therapies, Mental Health and Well-being Work (Created by Chris Evans and Clara Paz) — CECPfuns-package","text":"evolve repository functions (CE) Clara Paz (CP) created (far CE!) tested enough want store know can always find latest versions. Please check MIT licence disclaimer.","code":""},{"path":"/reference/CECPfuns-package.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"CECPfuns: Package of Utility Functions for Psychological Therapies, Mental Health and Well-being Work (Created by Chris Evans and Clara Paz) — CECPfuns-package","text":"Install github: remotes::install_github(\"cpsyctc/CECPfuns\") devtools::install_github(\"cpsyctc/CECPfuns\") Run: vignette(\"Introduction\", package = \"CECPfuns\") get vignette gives best introduction package jump index package's (R package, index link bottom every help page within package).","code":""},{"path":[]},{"path":"/reference/CECPfuns-package.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"CECPfuns: Package of Utility Functions for Psychological Therapies, Mental Health and Well-being Work (Created by Chris Evans and Clara Paz) — CECPfuns-package","text":"Maintainer: Chris Evans chris@psyctc.org (ORCID) [copyright holder] contributors: Clara Paz clara.paz@udla.edu.ec (ORCID) [consultant, reviewer] Emily Blackshaw blackshe@roehampton.ac.uk (ORCID) [reviewer]","code":""},{"path":"/reference/checkAllUnique.html","id":null,"dir":"Reference","previous_headings":"","what":"Function to check all values of a vector or data frame/tibble column are unique — checkAllUnique","title":"Function to check all values of a vector or data frame/tibble column are unique — checkAllUnique","text":"Function check values vector data frame/tibble column unique","code":""},{"path":"/reference/checkAllUnique.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Function to check all values of a vector or data frame/tibble column are unique — checkAllUnique","text":"","code":"checkAllUnique(   dat,   errIfNA = TRUE,   allowJustOneNA = TRUE,   allowMultipleColumns = FALSE )"},{"path":"/reference/checkAllUnique.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Function to check all values of a vector or data frame/tibble column are unique — checkAllUnique","text":"dat vector, single dimensional list columns data frame tibble test see values/rows unique errIfNA logical: defaults TRUE disallow NA values allowJustOneNA logical: defaults TRUE errIfNA FALSE one NA function returns FALSE allowMultipleColumns logical: defaults FALSE really want allow multi-column dat, set TRUE","code":""},{"path":"/reference/checkAllUnique.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Function to check all values of a vector or data frame/tibble column are unique — checkAllUnique","text":"logical: TRUE unique (see examples)","code":""},{"path":"/reference/checkAllUnique.html","id":"background","dir":"Reference","previous_headings":"","what":"Background","title":"Function to check all values of a vector or data frame/tibble column are unique — checkAllUnique","text":"utility function check values vector, single column data frame tibble, single dimensional list unique.  can also check rows multiple columns data frame tibble, unique. important expect single row data participant say, expect values participantID data set unique.  cripple things later identify duplicated ID values.  Sometimes just single variable unique, typical example data multiple services ID values participants service. may multiple values ID come different service.  (Mind , established rows unique across serviceID participantID usally paste two variables together something like   tidyverse way :   Making sure things unique also prevents sorts sometimes confusing error messages want pivot data depending ID variable whose values unique .  Checking Wisdom! Rblog page .","code":"data$superID = paste0(data$serviceID, \":\", data$participantID) data %>%          mutate(superID = str_c(serviceID, \":\", participantID))"},{"path":"/reference/checkAllUnique.html","id":"history-development-log","dir":"Reference","previous_headings":"","what":"History/development log","title":"Function to check all values of a vector or data frame/tibble column are unique — checkAllUnique","text":"Started 5.iv.21 Tweaked 11.iv.21 fix error examples.","code":""},{"path":[]},{"path":"/reference/checkAllUnique.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Function to check all values of a vector or data frame/tibble column are unique — checkAllUnique","text":"Chris Evans","code":""},{"path":"/reference/checkAllUnique.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Function to check all values of a vector or data frame/tibble column are unique — checkAllUnique","text":"","code":"if (FALSE) { ### letters gets us the 26 lower case letters of the English alphabet so should test OK checkAllUnique(letters) # [1] TRUE ### good!  ### the checking is case sensitive: checkAllUnique(c(\"A\", letters), errIfNA = FALSE, allowJustOneNA = FALSE) # [1] TRUE ### but ... checkAllUnique(c(\"a\", letters), errIfNA = FALSE, allowJustOneNA = FALSE) # [1] FALSE ### both good!  ### by default checkAllUnique doesn't allow any NA values, ### generally sensible for my data: ID codes or table indices checkAllUnique(c(letters, NA)) # [1] FALSE ### good!  ### but we can override that: checkAllUnique(c(letters, NA), errIfNA = FALSE) # [1] TRUE ### good!  ### but generally I wouldn't want multiple NA values ### in the typical situations I'd be using ### checkAllUnique() so I have forced you to allow ### that explicitly if you really want it ... checkAllUnique(c(NA, letters, NA), errIfNA = FALSE) # [1] FALSE ### good!  ### but you _can_ override that if you need to ... checkAllUnique(c(NA, letters, NA), errIfNA = FALSE, allowJustOneNA = FALSE) # [1] TRUE ### good! ### but you _can_ override that if you need to ... checkAllUnique(c(NA, letters, NA), errIfNA = FALSE, allowJustOneNA = FALSE) # [1] TRUE ### good!  ### by default checkAllUnique expects vector input but it can handle data ### in multiple columns in a data frame or tibble tmpDat <- as.data.frame(matrix(1:10, ncol = 2)) tmpDat # V1 V2 # 1  1  6 # 2  2  7 # 3  3  8 # 4  4  9 # 5  5 10 checkAllUnique(tmpDat[, 1]) # [1] TRUE checkAllUnique(tmpDat[, 2]) # [1] TRUE ### but remember column indexing a tibble returns a tibble not a vector tmpTib <- as_tibble(tmpDat) tmpTib # # A tibble: 5 x 2 # V1    V2 # <int> <int> #   1     1     6 # 2     2     7 # 3     3     8 # 4     4     9 # 5     5    10 checkAllUnique(tmpTib[, 1]) # Error in checkAllUnique(tmpTib[, 1]) : #   You have input an object of length one to checkAllUnique(): makes no sense! ### whoops, I remember, must pull() to extract as vector checkAllUnique(tmpTib %>% pull(1)) # [1] TRUE checkAllUnique(tmpTib %>% pull(2)) # [1] TRUE  ### you _can_ allow multiple columns checkAllUnique(tmpDat, allowMultipleColumns = TRUE) # [1] TRUE #   In checkAllUnique(tmpDat, allowMultipleColumns = TRUE) : #   Input of dat to checkAllUnique was not a vector: be careful please! checkAllUnique(tmpTib, allowMultipleColumns = TRUE) # [1] TRUE # Warning message: #   In checkAllUnique(tmpTib, allowMultipleColumns = TRUE) : #   Input of dat to checkAllUnique was not a vector: be careful please!  ### but it is checking all content in all columns so if two rows are the ### same it will return FALSE: tmpDat2 <- tmpDat tmpDat2[2, ] <- tmpDat[1, ] # make row 2 same as row 1 tmpDat2 # V1 V2 # 1  1  6 # 2  1  6 # 3  3  8 # 4  4  9 # 5  5 10 checkAllUnique(tmpDat2, allowMultipleColumns = TRUE) # [1] FALSE # Warning message: #   In checkAllUnique(tmpDat2, allowMultipleColumns = TRUE) : #   Input of dat to checkAllUnique was not a vector: be careful please!   ### what about columns of different classes, e.g. numeric and character cbind(tmpDat2, letters[1:5]) -> tmpDatMixed tmpDatMixed # V1 V2 letters[1:5] # 1  1  6            a # 2  1  6            b # 3  3  8            c # 4  4  9            d # 5  5 10            e checkAllUnique(tmpDatMixed, allowMultipleColumns = TRUE) # [1] TRUE # Warning message: #   In checkAllUnique(tmpDatMixed, allowMultipleColumns = TRUE) : #   Input of dat to checkAllUnique was not a vector: be careful please! ### that came out as TRUE because R \"promoted\" the numerics to character ### and because the two different letters in rows 1 and 2 of column 3 ### broke the non-unique tie of rows 1 and 2 in columns 1 and 2  ### what about having NA in a multicolumn input? tmpDatNA <- tmpDat tmpDatNA[2, 1] <- NA tmpDatNA # 1  1  6 # 2 NA  7 # 3  3  8 # 4  4  9 # 5  5 10 checkAllUnique(tmpDatNA, allowMultipleColumns = TRUE) # [1] FALSE # Warning message: #   In checkAllUnique(tmpDatNA, allowMultipleColumns = TRUE) : #   Input of dat to checkAllUnique was not a vector: be careful please! ### but checkAllUnique(tmpDatNA, allowMultipleColumns = TRUE, errIfNA = FALSE) }"},{"path":"/reference/classifyScoresVectorByRCI.html","id":null,"dir":"Reference","previous_headings":"","what":"Function to classify changes using the RCI paradigm — classifyScoresVectorByRCI","title":"Function to classify changes using the RCI paradigm — classifyScoresVectorByRCI","text":"Function classify changes using RCI paradigm","code":""},{"path":"/reference/classifyScoresVectorByRCI.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Function to classify changes using the RCI paradigm — classifyScoresVectorByRCI","text":"","code":"classifyScoresVectorByRCI(   scoreChange = NULL,   score1 = NULL,   score2 = NULL,   RCI = NULL,   cueing = \"negative\",   verbose = TRUE,   returnTable = TRUE,   dp = 1,   addCI = FALSE,   returnNumeric = FALSE,   CLsSeparate = FALSE,   conf = 0.95 )"},{"path":"/reference/classifyScoresVectorByRCI.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Function to classify changes using the RCI paradigm — classifyScoresVectorByRCI","text":"scoreChange numeric vector score changes score1 numeric vector baseline scores (giving scoreChange) score2 numeric vector final scores (giving scoreChange) RCI numeric value RCI cueing whether measure cued positively negatively verbose logical: suppresses messages FALSE returnTable logical: whether summary table returned (TRUE) tibble classified scores (FALSE) dp numeric: number decimal places percentages (returnTable TRUE) addCI logical: whether add confidence intervals around observed percentages e.g. \"69.6% 87.5%\" returnNumeric logical: whether return values numeric nicely formatted strings (default) CLsSeparate logical: returns CI two separate variables instead string conf numeric, gives width confidence interval (addCI TRUE)","code":""},{"path":"/reference/classifyScoresVectorByRCI.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Function to classify changes using the RCI paradigm — classifyScoresVectorByRCI","text":"tibble, either summary breakdown n % classification, tibble data classified change","code":""},{"path":"/reference/classifyScoresVectorByRCI.html","id":"warning","dir":"Reference","previous_headings":"","what":"Warning","title":"Function to classify changes using the RCI paradigm — classifyScoresVectorByRCI","text":"Function still development.  Currently handles vector input. modifying handle data frame tibble input sure best yet. Currently heading making separate function: classifyScoresInDataByRCI()","code":""},{"path":"/reference/classifyScoresVectorByRCI.html","id":"background","dir":"Reference","previous_headings":"","what":"Background","title":"Function to classify changes using the RCI paradigm — classifyScoresVectorByRCI","text":"RCI part Jacobson, Follette Revenstorf's \"RCSC\": Reliable Clinically Significant Change paradigm.","code":""},{"path":"/reference/classifyScoresVectorByRCI.html","id":"history-development-log","dir":"Reference","previous_headings":"","what":"History/development log","title":"Function to classify changes using the RCI paradigm — classifyScoresVectorByRCI","text":"Started 5.iv.21 Tweaked 11.iv.21 fix error examples.","code":""},{"path":[]},{"path":"/reference/classifyScoresVectorByRCI.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Function to classify changes using the RCI paradigm — classifyScoresVectorByRCI","text":"Splitting change three levels: reliable deterioration, reliable change, reliable improvement pretty trivial.  However, worked function seem grow something trivial probably save people time.  can used two main ways: return tibble scoreChange score1, score2 computed scoreChange RCI categories added (returnTable = FALSE). return tabulation categories (returnTable = TRUE). given examples aspects option 2) wthat can adjusted : using dp determine decimal places percentage breakdown (defaults 1 decimal place) using addCI = TRUE add column giving confidence interval (CI) around observed percentage perhaps ... using conf choose something default .95, .e. 95% interval ... though really think good reason ! Adding CI probably mainly useful want compare breakdown particular set data data published figure even, though hope , managerial political target. Bear mind three percentages must sum 100% independent one another three CIs therfore also independent.","code":""},{"path":"/reference/classifyScoresVectorByRCI.html","id":"technicality","dir":"Reference","previous_headings":"","what":"Technicality","title":"Function to classify changes using the RCI paradigm — classifyScoresVectorByRCI","text":"CI calculated using binconf function Frank Harrell's Hmisc package miscellaneous functions.  uses Wilson's method compute CIs.  See documentation binconf brief discussion choice references.","code":""},{"path":"/reference/classifyScoresVectorByRCI.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Function to classify changes using the RCI paradigm — classifyScoresVectorByRCI","text":"Chris Evans","code":""},{"path":"/reference/classifyScoresVectorByRCI.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Function to classify changes using the RCI paradigm — classifyScoresVectorByRCI","text":"","code":"if (FALSE) {  ### start with some very simple change values: scoreChanges <- -5:5 scoreChanges # is: #  [1] -5 -4 -3 -2 -1  0  1  2  3  4  5  ## so now apply an RCI value of 2 to that: classifyScoresVectorByRCI(scoreChange = scoreChanges, RCI = 2) ## produces: # You input 11 values for scoreChange.  There were no missing values. ## A tibble: 3 x 4 # RCIclass                   n percent valid_percent # <ord>                  <int> <chr>   <chr> #   1 Reliable deterioration     3 27.3%   27.3% #   2 No reliable change         5 45.5%   45.5% #   3 Reliable improvement       3 27.3%   27.3%  ### you could pipe that to your R/tidyverse table formatting ### tool of choice, \\code{pander}, \\code{huxtable}, whatever.  ### you can add the 95% CI: ### create some spurious scores n <- 75 score1 <- rnorm(n) # random Gaussian scores score2 <- score1 - rnorm(n, mean = .2, sd = .2) # and some random change scoreChange <- score1 - score2 # get the change  classifyScoresVectorByRCI(scoreChange, RCI = .3)  classifyScoresVectorByRCI(score1 = score1, score2 = score2, RCI = .3) }"},{"path":"/reference/convert2CEdate.html","id":null,"dir":"Reference","previous_headings":"","what":"Function to convert Dates to my date format strings — convert2CEdate","title":"Function to convert Dates to my date format strings — convert2CEdate","text":"Function convert Dates date format strings","code":""},{"path":"/reference/convert2CEdate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Function to convert Dates to my date format strings — convert2CEdate","text":"","code":"convert2CEdate(date)  convertToCEdate(date)"},{"path":"/reference/convert2CEdate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Function to convert Dates to my date format strings — convert2CEdate","text":"date Date","code":""},{"path":"/reference/convert2CEdate.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Function to convert Dates to my date format strings — convert2CEdate","text":"string","code":""},{"path":"/reference/convert2CEdate.html","id":"background","dir":"Reference","previous_headings":"","what":"Background","title":"Function to convert Dates to my date format strings — convert2CEdate","text":"like write dates format dd.mm.yyyy months, mm, Roman numerals, .e. = January, xii = December.  , unless someone never met Roman's weird numbering system seems always promote initial bemusement recognition never anyone say \"use Roman numerals days?\" think disambiguate dates. trivial function perhaps person ever use . expects input Date can handle vector dates.","code":""},{"path":"/reference/convert2CEdate.html","id":"history-development-log","dir":"Reference","previous_headings":"","what":"History/development log","title":"Function to convert Dates to my date format strings — convert2CEdate","text":"Started 5.iv.21 10.iv.21: tweaked add synonym convertToCEdate","code":""},{"path":[]},{"path":"/reference/convert2CEdate.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Function to convert Dates to my date format strings — convert2CEdate","text":"Chris Evans","code":""},{"path":"/reference/convert2CEdate.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Function to convert Dates to my date format strings — convert2CEdate","text":"","code":"date1 <- as.Date(\"1/1/2021\", format = \"%d/%m/%Y\") convert2CEdate(date1) #> Loading required namespace: lubridate #> [1] \"1.i.2021\" date2 <- as.Date(\"2/1/2021\", format = \"%d/%m/%Y\") dates12 <- c(date1, date2) convert2CEdate(dates12) #> [1] \"1.i.2021\" \"2.i.2021\""},{"path":"/reference/convertClipboardAuthorNames.html","id":null,"dir":"Reference","previous_headings":"","what":"Function to convert a number of 'Firstname Familyname' lines on the clipboard to 'Familyname, Firstname' — convertClipboardAuthorNames","title":"Function to convert a number of 'Firstname Familyname' lines on the clipboard to 'Familyname, Firstname' — convertClipboardAuthorNames","text":"Function convert number 'Firstname Familyname' lines clipboard 'Familyname, Firstname'","code":""},{"path":"/reference/convertClipboardAuthorNames.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Function to convert a number of 'Firstname Familyname' lines on the clipboard to 'Familyname, Firstname' — convertClipboardAuthorNames","text":"","code":"convertClipboardAuthorNames(toClipboard = TRUE, warn = TRUE)"},{"path":"/reference/convertClipboardAuthorNames.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Function to convert a number of 'Firstname Familyname' lines on the clipboard to 'Familyname, Firstname' — convertClipboardAuthorNames","text":"toClipboard logical: default TRUE sends changed names back clipboard warn logical: prints warning(s)","code":""},{"path":"/reference/convertClipboardAuthorNames.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Function to convert a number of 'Firstname Familyname' lines on the clipboard to 'Familyname, Firstname' — convertClipboardAuthorNames","text":"Character vector changed names toClipboard == FALSE","code":""},{"path":"/reference/convertClipboardAuthorNames.html","id":"background","dir":"Reference","previous_headings":"","what":"Background","title":"Function to convert a number of 'Firstname Familyname' lines on the clipboard to 'Familyname, Firstname' — convertClipboardAuthorNames","text":"tiny crude function convert number 'Firstname Familyname' lines clipboard 'Familyname, Firstname'.  wrote quite often putting records Zotero list authors 'Firstname Familyname' format thought save time first, rough, conversion 'Familyname, Firstname' Zotero suck happily. Beware, crude, default warning say, mess space separated family names like 'Matte Blanco' splitting make 'Blanco' alone family name. must also fail mix ordering feed messy challenges.  always check put clipboard.  However, find helps quite lot time. pretty well always Rstudio open CECPfuns package loaded quick easy call.  geeks say mileage may vary!\",","code":""},{"path":"/reference/convertClipboardAuthorNames.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Function to convert a number of 'Firstname Familyname' lines on the clipboard to 'Familyname, Firstname' — convertClipboardAuthorNames","text":"","code":"if (FALSE) { ### the default is that you have your data, e.g. # Ravindra Khattree # Zhidong Bai # Paula Caligiuri # Yasunori Fijikoshi # Yuehua Wu # Arni S.R. # Srinivasa Rao # Marepalli B. Rao ### (Those are from the deeply moving obituary of C.R.Ra: ###    Khattree, et al. (2023). Institute of Mathematical Statistics | ###    Obituary: C.R. Rao 1920–2023. ### https://imstat.org/2023/09/30/obituary-c-r-rao-1920-2023/)  ### You copy that into the system clipboard and in an interactive R session you run: convertClipboardAuthorNames()  ### That default will try to rearrange the names to its limited extent, print a warning to you ### and put the rearranged names back into the clipboard replacing what was there.  ### It's way away from intelligent, hence by default it gives you a warning. ### An example of things it can't handle is 'Arni, S.R.' in the above. ### That is already in the format we want so the function will mess that ### one up: always check the result after pasting it into Zotero (or wherever). ### Nevertheless I think the function now saves me time despite its lack of intelligence. ### I hope it does for you too.  ### If you are fed up with the warning you can use: convertClipboardAuthorNames(warn = FALSE)  ### I can't think why but just in case you want the result to be returned to the R prompt ### as a character vector and NOT copied back to the clipboard, use:  convertClipboardAuthorNames(toClipboard = FALSE) }"},{"path":"/reference/convertVector2sentence.html","id":null,"dir":"Reference","previous_headings":"","what":"Function that converts a vector to an English language list:\ne.g. 1:3 becomes 1, 2 and 3 — convertVector2sentence","title":"Function that converts a vector to an English language list:\ne.g. 1:3 becomes 1, 2 and 3 — convertVector2sentence","text":"Function converts vector English language list: e.g. 1:3 becomes 1, 2 3","code":""},{"path":"/reference/convertVector2sentence.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Function that converts a vector to an English language list:\ne.g. 1:3 becomes 1, 2 and 3 — convertVector2sentence","text":"","code":"convertVector2sentence(   x,   andChar = \" and \",   quoted = FALSE,   quoteChar = \"\\\"\",   italicY = FALSE )  convertVectorToSentence(   x,   andChar = \" and \",   quoted = FALSE,   quoteChar = \"\\\"\",   italicY = FALSE )"},{"path":"/reference/convertVector2sentence.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Function that converts a vector to an English language list:\ne.g. 1:3 becomes 1, 2 and 3 — convertVector2sentence","text":"x input vector one dimensional list convert andChar string put penultimate last entry quoted logical indicating whether item quoted hence quoteChar string put around item quote italicY logical items italicised","code":""},{"path":"/reference/convertVector2sentence.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Function that converts a vector to an English language list:\ne.g. 1:3 becomes 1, 2 and 3 — convertVector2sentence","text":"string","code":""},{"path":"/reference/convertVector2sentence.html","id":"history-development-log","dir":"Reference","previous_headings":"","what":"History/development log","title":"Function that converts a vector to an English language list:\ne.g. 1:3 becomes 1, 2 and 3 — convertVector2sentence","text":"Started 5.iv.21 10.iv.21: added synonym convertVectorToSentence","code":""},{"path":[]},{"path":"/reference/convertVector2sentence.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Function that converts a vector to an English language list:\ne.g. 1:3 becomes 1, 2 and 3 — convertVector2sentence","text":"Chris Evans","code":""},{"path":"/reference/convertVector2sentence.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Function that converts a vector to an English language list:\ne.g. 1:3 becomes 1, 2 and 3 — convertVector2sentence","text":"","code":"### default behaviour convertVector2sentence(1:4) #> [1] \"1, 2, 3 and 4\" ### [1] \"1, 2, 3 and 4\"  ### default behaviour convertVector2sentence(1:4, quoted = TRUE) #> [1] \"\\\"1\\\", \\\"2\\\", \\\"3\\\" and \\\"4\\\"\" ### [1] \"\\\"1\\\", \\\"2\\\", \\\"3\\\" and \\\"4\\\"\"  ### change andChar (note the spaces, ###  I can't see why you wouldn't want them but ...) convertVector2sentence(1:4, andChar = ' & ') #> [1] \"1, 2, 3 & 4\" ### [1] \"1, 2, 3 & 4\"  ### change the quoting character (note no spaces) convertVector2sentence(1:4, quoted = TRUE, quoteChar = \"'\") #> [1] \"'1', '2', '3' and '4'\" ### [1] \"'1', '2', '3' and '4'\"  convertVector2sentence(1:4, italicY = TRUE) # italicises the items #> [1] \"*1*, *2*, *3* and *4*\" ### and now italics and quotation: convertVector2sentence(1:4, italicY = TRUE, quoted = TRUE) #> [1] \"*\\\"1*\\\", \\\"*2*\\\", \\\"*3\\\"* and *\\\"4\\\"*\""},{"path":"/reference/getBootCICSC.html","id":null,"dir":"Reference","previous_headings":"","what":"Title\nFunction designed for use in dplyr (tidyverse) piping to return CSC and bootstrap CI around that — getBootCICSC","title":"Title\nFunction designed for use in dplyr (tidyverse) piping to return CSC and bootstrap CI around that — getBootCICSC","text":"Title Function designed use dplyr (tidyverse) piping return CSC bootstrap CI around ","code":""},{"path":"/reference/getBootCICSC.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Title\nFunction designed for use in dplyr (tidyverse) piping to return CSC and bootstrap CI around that — getBootCICSC","text":"","code":"getBootCICSC(formula1, data, bootReps = 1000, conf = 0.95, bootCImethod = \"pe\")"},{"path":"/reference/getBootCICSC.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Title\nFunction designed for use in dplyr (tidyverse) piping to return CSC and bootstrap CI around that — getBootCICSC","text":"formula1 formula defining two variables correlated scores ~ group data data.frame tibble data, often constructed pick() dplyr bootReps integer giving number bootstrap replications conf numeric value giving width confidence interval, e.g. .95 (default) bootCImethod string giving method derive bootstrap CI, minimum two letters 'pe', '', 'ba' 'bc' percentile, normal, basic bca","code":""},{"path":"/reference/getBootCICSC.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Title\nFunction designed for use in dplyr (tidyverse) piping to return CSC and bootstrap CI around that — getBootCICSC","text":"list named values obsCSC, LCLCSC UCLCSC","code":""},{"path":"/reference/getBootCICSC.html","id":"background","dir":"Reference","previous_headings":"","what":"Background","title":"Title\nFunction designed for use in dplyr (tidyverse) piping to return CSC and bootstrap CI around that — getBootCICSC","text":"general information CSC (Clinically Significant Change criterion), see getCSC","code":""},{"path":"/reference/getBootCICSC.html","id":"history-development-log","dir":"Reference","previous_headings":"","what":"History/development log","title":"Title\nFunction designed for use in dplyr (tidyverse) piping to return CSC and bootstrap CI around that — getBootCICSC","text":"Started 5.iv.21","code":""},{"path":[]},{"path":"/reference/getBootCICSC.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Title\nFunction designed for use in dplyr (tidyverse) piping to return CSC and bootstrap CI around that — getBootCICSC","text":"Chris Evans","code":""},{"path":"/reference/getBootCICSC.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Title\nFunction designed for use in dplyr (tidyverse) piping to return CSC and bootstrap CI around that — getBootCICSC","text":"","code":"if (FALSE) { ### will need tidyverse to run library(tidyverse) ### create some data n <- 120 set.seed(12345) # to get replicable sample and results from the bootstrap list(scores = rnorm(n), # Gaussian random base for scores   ### now add a grouping variable: help-seeking or not   grp = sample(c(\"HS\", \"not\"), n, replace = TRUE),   ### now add gender   gender = sample(c(\"F\", \"M\"), n, replace = TRUE)) %>%   as_tibble() %>%   ### next add a gender effect nudging women's scores up by .4   mutate(scores = if_else(gender == \"F\", scores + .4, scores),   ### next add the crucial help-seeking effect of 1.1         scores = if_else(grp == \"HS\", scores + 1.1, scores)) -> tmpDat  ### have a look at that tmpDat  ### this just computes the CSC and CI(CSC) for the whole dataset tmpDat %>%   ### don't forget to prefix the call with \"list(\" to tell dplyr   ### you are creating list output   ### Also pick(everything()) has replaced the deprecated cur_data() that I used   ### earlier I see the flexibility of pick() but it's ugly when used to replace   ### the simpler cur_data() for this sort of thing.  Not my choice!   summarise(CSC = list(getBootCICSC(scores ~ grp, pick(everything())))) %>%   ### now unnest the list to columns   unnest_wider(CSC)  ### now an example of how this becomes useful: same but by grouping by gender tmpDat %>%   group_by(gender) %>%   ### remember the list output again!   summarise(CSC = list(getBootCICSC(scores ~ grp, pick(everything())))) %>%   ### remember to unnnest again!   unnest_wider(CSC) }"},{"path":"/reference/getBootCICorr.html","id":null,"dir":"Reference","previous_headings":"","what":"Function to return observed correlation between two variables with bootstrap CI — getBootCICorr","title":"Function to return observed correlation between two variables with bootstrap CI — getBootCICorr","text":"Function return observed correlation two variables bootstrap CI","code":""},{"path":"/reference/getBootCICorr.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Function to return observed correlation between two variables with bootstrap CI — getBootCICorr","text":"","code":"getBootCICorr(   formula1,   data,   method = \"p\",   bootReps = 1000,   conf = 0.95,   bootCImethod = \"pe\" )"},{"path":"/reference/getBootCICorr.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Function to return observed correlation between two variables with bootstrap CI — getBootCICorr","text":"formula1 formula defining two variables correlated var1 ~ var2 data data.frame tibble data, often subset data created group_by() pick() method string giving correlation method, can single letter 'p', 's' 'k' pearson, spearman kendall (cor()) bootReps integer giving number bootstrap replications conf numeric value giving width confidence interval, e.g. .95 (default) bootCImethod string giving method derive bootstrap CI, can two letters 'pe', '', 'ba' 'bc' percentile, normal, basic bca","code":""},{"path":"/reference/getBootCICorr.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Function to return observed correlation between two variables with bootstrap CI — getBootCICorr","text":"list named values: obsCorr, LCLCorr UCLCorr","code":""},{"path":"/reference/getBootCICorr.html","id":"history-development-log","dir":"Reference","previous_headings":"","what":"History/development log","title":"Function to return observed correlation between two variables with bootstrap CI — getBootCICorr","text":"Started 5.iv.21","code":""},{"path":[]},{"path":"/reference/getBootCICorr.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Function to return observed correlation between two variables with bootstrap CI — getBootCICorr","text":"Chris Evans","code":""},{"path":"/reference/getBootCICorr.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Function to return observed correlation between two variables with bootstrap CI — getBootCICorr","text":"","code":"if (FALSE) { library(tidyverse) ### create some data set.seed(12345) # make this replicable n <- 150 tibble(x = rnorm(n), y = rnorm(y)) %>%    ### that's got us sample x and y from population in which they're uncorrelated    ### make them correlated:    mutate(y = y + .2 * x)  -> data  data %>%    ### don't forget to prefix the call with \"list(\" to tell dplyr    ### you are creating list output    summarise(corr = list(getBootCICorr(x ~ y,              pick(everything()),              ### pick(everything()) is, to my mind, a rather verbose replacement for cur_data()              method = \"p\", # gets the Pearson correlation              bootReps = 1000,              ### \"pe\" in next line gets the percentile bootstrap CI              bootCImethod = \"pe\"))) %>%    ### now unnest the list output to separate columns    unnest_wider(corr) }"},{"path":"/reference/getBootCIalpha.html","id":null,"dir":"Reference","previous_headings":"","what":"function returning observed Cronbach alpha with bootstrap confidence interval around that value — getBootCIalpha","title":"function returning observed Cronbach alpha with bootstrap confidence interval around that value — getBootCIalpha","text":"function returning observed Cronbach alpha bootstrap confidence interval around value","code":""},{"path":"/reference/getBootCIalpha.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"function returning observed Cronbach alpha with bootstrap confidence interval around that value — getBootCIalpha","text":"","code":"getBootCIalpha(   dat,   verbose = TRUE,   na.rm = TRUE,   nLT20err = TRUE,   nGT10kerr = TRUE,   bootReps = 1000,   conf = 0.95,   bootCImethod = c(\"perc\", \"norm\", \"basic\", \"bca\") )"},{"path":"/reference/getBootCIalpha.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"function returning observed Cronbach alpha with bootstrap confidence interval around that value — getBootCIalpha","text":"dat data, matrix, data frame tibble numeric item data columns verbose logical, FALSE switches messages na.rm logical causes function throw error missing data nLT20err logical, throws error length(na.omit(dat)) < 20, otherwise returns NA CI nGT10kerr logical, throws error length(na.omit(dat)) > 10k prevent long rusn, override FALSE bootReps integer number bootstrap replications conf numeric confidence interval desired fraction, e.g. .95 bootCImethod method deriving bootstrap CI \"perc\", \"norm\", \"basic\" \"bca\"","code":""},{"path":"/reference/getBootCIalpha.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"function returning observed Cronbach alpha with bootstrap confidence interval around that value — getBootCIalpha","text":"list length 3: obsAlpha, LCLAlpha UCLAlpha","code":""},{"path":"/reference/getBootCIalpha.html","id":"history-development-log","dir":"Reference","previous_headings":"","what":"History/development log","title":"function returning observed Cronbach alpha with bootstrap confidence interval around that value — getBootCIalpha","text":"Started 5.iv.21","code":""},{"path":[]},{"path":"/reference/getBootCIalpha.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"function returning observed Cronbach alpha with bootstrap confidence interval around that value — getBootCIalpha","text":"Chris Evans","code":""},{"path":"/reference/getBootCIalpha.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"function returning observed Cronbach alpha with bootstrap confidence interval around that value — getBootCIalpha","text":"","code":"if (FALSE) { set.seed(12345) tmpMat <- matrix(rnorm(200), ncol = 10) tmpDat <- as.data.frame(tmpMat) tmpTib <- as_tibble(tmpDat)  ### all default arguments getBootCIalpha (tmpMat) }"},{"path":"/reference/getBootCIgrpMeanDiff.html","id":null,"dir":"Reference","previous_headings":"","what":"Title\nFunction designed for use in dplyr (tidyverse) piping to return mean diff and bootstrap CI around that — getBootCIgrpMeanDiff","title":"Title\nFunction designed for use in dplyr (tidyverse) piping to return mean diff and bootstrap CI around that — getBootCIgrpMeanDiff","text":"Title Function designed use dplyr (tidyverse) piping return mean diff bootstrap CI around ","code":""},{"path":"/reference/getBootCIgrpMeanDiff.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Title\nFunction designed for use in dplyr (tidyverse) piping to return mean diff and bootstrap CI around that — getBootCIgrpMeanDiff","text":"","code":"getBootCIgrpMeanDiff(   formula1,   data,   bootReps = 1000,   conf = 0.95,   bootCImethod = \"pe\" )"},{"path":"/reference/getBootCIgrpMeanDiff.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Title\nFunction designed for use in dplyr (tidyverse) piping to return mean diff and bootstrap CI around that — getBootCIgrpMeanDiff","text":"formula1 formula defining two variables correlated scores ~ group data data.frame tibble data, often subset data created group_by() pick() bootReps integer giving number bootstrap replications conf numeric value giving width confidence interval, e.g. .95 (default) bootCImethod string giving method derive bootstrap CI, minimum two letters 'pe', '', 'ba' 'bc' percentile, normal, basic bca","code":""},{"path":"/reference/getBootCIgrpMeanDiff.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Title\nFunction designed for use in dplyr (tidyverse) piping to return mean diff and bootstrap CI around that — getBootCIgrpMeanDiff","text":"list named values obsDiff, LCLdiff UCLdiff","code":""},{"path":[]},{"path":"/reference/getBootCIgrpMeanDiff.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Title\nFunction designed for use in dplyr (tidyverse) piping to return mean diff and bootstrap CI around that — getBootCIgrpMeanDiff","text":"","code":"if (FALSE) { ### will need tidyverse to run library(tidyverse) ### create some data ### get replicable data set.seed(12345) n <- 120 list(scores = rnorm(n), # Gaussian random base for scores   ### now add a grouping variable: help-seeking or not   grp = sample(c(\"HS\", \"not\"), n, replace = TRUE),   ### now add gender   gender = sample(c(\"F\", \"M\"), n, replace = TRUE)) %>%   as_tibble() %>%   ### next add a gender effect nudging women's scores up by .4   mutate(scores = if_else(gender == \"F\", scores + .4, scores),   ### next add the crucial help-seeking effect of 1.1         scores = if_else(grp == \"HS\", scores + 1.1, scores)) -> tmpDat # ### have a look at that tmpDat # set.seed(12345) # to get replicable results from the bootstrap tmpDat %>%   ### don't forget to prefix the call with \"list(\" to tell dplyr   ### you are creating list output   ### pick(everything()) has replaced cur_data(), verbose but more flexbible   summarise(meanDiff = list(getBootCIgrpMeanDiff(scores ~ grp, pick(everything())))) %>%   ### now unnest the list to columns   unnest_wider(meanDiff)  ### now an example of how this becomes useful: same but by gender set.seed(12345) # to get replicable results from the bootstrap tmpDat %>%   group_by(gender) %>%   ### remember the list output again!   summarise(meanDiff = list(getBootCIgrpMeanDiff(scores ~ grp, pick(everything())))) %>%   ### remember to unnnest again!   unnest_wider(meanDiff)   }"},{"path":"/reference/getBootCImean.html","id":null,"dir":"Reference","previous_headings":"","what":"Function to return bootstrap CI around observed mean — getBootCImean","title":"Function to return bootstrap CI around observed mean — getBootCImean","text":"Function return bootstrap CI around observed mean","code":""},{"path":"/reference/getBootCImean.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Function to return bootstrap CI around observed mean — getBootCImean","text":"","code":"getBootCImean(   x,   data = NULL,   bootReps = 1000,   conf = 0.95,   bootCImethod = c(\"perc\", \"norm\", \"basic\", \"bca\"),   na.rm = TRUE,   verbose = TRUE,   nLT20err = TRUE,   nGT10kerr = TRUE,   zeroSDerr = FALSE )"},{"path":"/reference/getBootCImean.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Function to return bootstrap CI around observed mean — getBootCImean","text":"x name variable data, character bare name, simply numeric vector data NULL, see examples data data frame tibble containing variable, NULL x passed directly bootReps integer number bootstrap replications conf numeric confidence interval desired fraction, e.g. .95 bootCImethod method deriving bootstrap CI \"perc\", \"norm\", \"basic\" \"bca\" na.rm logical, set FALSE ensure function fail missing data verbose logical, FALSE suppresses messages nLT20err logical, throws error length(na.omit(x)) < 20, otherwise returns NA CI nGT10kerr logical, throws error length(na.omit(x)) > 10k prevent long rusn, override FALSE zeroSDerr logical, default return NA CI sd(x) near zero zero, zeroSDerr throws error","code":""},{"path":"/reference/getBootCImean.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Function to return bootstrap CI around observed mean — getBootCImean","text":"list length 3: obsmean, LCLmean UCLmean","code":""},{"path":"/reference/getBootCImean.html","id":"comment","dir":"Reference","previous_headings":"","what":"comment","title":"Function to return bootstrap CI around observed mean — getBootCImean","text":"tried make function flexible possible two particular ways. variable compute bootstrapped CI mean can fed simple vector, named column dataframe tibble function defaults stop error might run many hours.  However, can overridden nGT10kerr = FALSE. insufficient non-missing values default stop nLT20err = FALSE overrides returns NA confidence limits. zero near zero variance function returns NA confidence limits can made error condition zeroSDerr = TRUE. function defaults (verbose = TRUE) give quite lot information messages.  can switched . width confidence interval method computing can set, can number bootstrap resamples run. almost functions CECPfuns package, getBootCImean() primarily designed use dplyr piping.","code":""},{"path":"/reference/getBootCImean.html","id":"history-development-log","dir":"Reference","previous_headings":"","what":"History/development log","title":"Function to return bootstrap CI around observed mean — getBootCImean","text":"Started 5.iv.21 Tweaked 11.iv.21 fix error examples.","code":""},{"path":[]},{"path":"/reference/getBootCImean.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Function to return bootstrap CI around observed mean — getBootCImean","text":"Chris Evans","code":""},{"path":"/reference/getBootCImean.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Function to return bootstrap CI around observed mean — getBootCImean","text":"","code":"if (FALSE) { set.seed(12345) # get replicable results library(magrittr) ### now make up some silly data n <- 50 rnorm(n) %>% # get some random Gaussian data   as_tibble() %>%   ### create a spurious grouping variable   mutate(food = sample(c(\"sausages\", \"carrots\"), n, replace = TRUE),          ### create variable with some missing data to test na.rm = FALSE          y = if_else(value < -1, NA_real_, value)) -> tmpDat  ### check that worked tmpDat ### looks fine!  ### default arguments, just supply variable getBootCImean(tmpDat$value)  ### default arguments, select variable by name as character getBootCImean(\"value\", tmpDat)  ### default arguments, select variable by name as bare name tmpDat %>%   ### pick(everything()) has replaced cur_data(): more flexible but more verbose   summarise(meanCI = list(getBootCImean(value, pick(everything())))) %>%   unnest_wider(meanCI)  ### default arguments, select variable by name as character tmpDat %>%   summarise(meanCI = list(getBootCImean(\"value\", pick(everything())))) %>%   unnest_wider(meanCI)  ### default arguments, select variable by name as bare name tmpDat %>%   summarise(meanCI = list(getBootCImean(value, pick(everything())))) %>%   unnest_wider(meanCI)  ### default arguments, get mean of value by food tmpDat %>%   group_by(food) %>%   summarise(meanCI = list(getBootCImean(value, pick(everything())))) %>%   unnest_wider(meanCI)  ### suppress messages tmpDat %>%   summarise(meanCI = list(getBootCImean(value,                                         pick(everything()),                                         verbose = FALSE))) %>%   unnest_wider(meanCI)  ### default silent omission of missing data, messages back ###  analysing variable y which has missing data ###  (see \"Usable n\") tmpDat %>%   summarise(meanCI = list(getBootCImean(y,                                         pick(everything()),                                         verbose = TRUE))) %>%   unnest_wider(meanCI)  ### use na.rm = FALSE to ensure call will fail if there are missing data tmpDat %>%   summarise(meanCI = list(getBootCImean(y,                                         pick(everything()),                                         verbose = TRUE,                                         na.rm = FALSE))) %>%   unnest_wider(meanCI)  ### change bootstrap interval tmpDat %>%   summarise(meanCI = list(getBootCImean(y,                                         pick(everything()),                                         conf = .9))) %>%   unnest_wider(meanCI)  ### change bootstrap CI method (\"perc\" is default) tmpDat %>%   summarise(meanCI = list(getBootCImean(y,                                         pick(everything()),                                         verbose = TRUE,                                         bootCImethod = \"no\"))) %>%   unnest_wider(meanCI)  ### should fail on impossible to decode choice of method in args tmpDat %>%   summarise(meanCI = list(getBootCImean(y,                                         pick(everything()),                                         verbose = TRUE,                                         bootCImethod = \"b\"))) %>%   unnest_wider(meanCI) }"},{"path":"/reference/getCIPearson.html","id":null,"dir":"Reference","previous_headings":"","what":"Function to return parametric CI around observed Pearson correlation — getCIPearson","title":"Function to return parametric CI around observed Pearson correlation — getCIPearson","text":"Function return parametric CI around observed Pearson correlation","code":""},{"path":"/reference/getCIPearson.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Function to return parametric CI around observed Pearson correlation — getCIPearson","text":"","code":"getCIPearson(r, n, ci = 0.95)"},{"path":"/reference/getCIPearson.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Function to return parametric CI around observed Pearson correlation — getCIPearson","text":"r numeric: observed correlation -1 <= r <= 1 n numeric: integer count observations data ci numeric: confidence interval required, defaults .95","code":""},{"path":"/reference/getCIPearson.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Function to return parametric CI around observed Pearson correlation — getCIPearson","text":"named vector LCL UCL","code":""},{"path":"/reference/getCIPearson.html","id":"background","dir":"Reference","previous_headings":"","what":"Background","title":"Function to return parametric CI around observed Pearson correlation — getCIPearson","text":"simple function return confidence limits confidence interval around observed Pearson correlation given number observations dataset (n) confidence interval required (ci, defaults .95).  maths go back ever. suspect first version function, written S+ R, probably drawing Altman, D. G., & Gardner, M. J. (1988). Calculating confidence intervals regression correlation. British Medical Journal, 296, 1238–1242. confidence interval based Gaussian distribution model variables raw data almost certainly better use bootstrap confidence interval provided getBootCICorr() package.  probably mainly useful read Pearson correlation value report, n derived report give CI want sense CI sense precision estimation comparing correlation others, perhaps data. function just returns named vector LCL UCL help using tidyverse pipes.  See examples. perfect observed correlations, .e. R = +1.0 -1.0 function returns c(1, 1) c(-1, -1). may feel slightly counterintuitive might expect intervals c(something, 1) c(-1, something) respectively logic added one pair values correlation longer perfect computed CI reflect (hence \"something\" !)  However, reality observed correlation really perfect way given data compute sensible lower bound (observed R = 1.0, upper bound observed R = -1).  Returning c(1, 1) perfect positive correlation c(-1, -1) perfect negative correlation sensible option line cor.teststats.","code":""},{"path":"/reference/getCIPearson.html","id":"history-development-log","dir":"Reference","previous_headings":"","what":"History/development log","title":"Function to return parametric CI around observed Pearson correlation — getCIPearson","text":"Version 1: 25.xi.23","code":""},{"path":[]},{"path":"/reference/getCIPearson.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Function to return parametric CI around observed Pearson correlation — getCIPearson","text":"Chris Evans","code":""},{"path":"/reference/getCIPearson.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Function to return parametric CI around observed Pearson correlation — getCIPearson","text":"","code":"if (FALSE) { ### this is a trivial example of the impact of sample size! getCIPearson(.7) #      LCL       UCL # 0.1258332 0.9228784 getCIPearson(.7, 100) # LCL       UCL # 0.5838581 0.7880650 getCIPearson(.7, 1000) # LCL       UCL # 0.6669493 0.7303015  ### This illustrates the handling of a perfect correlation getCIPearson(1, 10) # LCL UCL # 1   1  ### this is an example of how the function can be used in a tidyverse pipe tibble(n = rep(n, n)) %>% # column of data sizesx = rnorm(n))    ### now create some raw data of varying degrees of correlation    mutate(x = rnorm(n),    y = x + 2, # perfectly correlated    z0 = rnorm(n), # get uncorrelated y    z1 = x + 10 * rnorm(n), # create weakly correlated values    ### and now much more strongly correlated values    z2 = x + rnorm(n)) -> tmpTib tmpTib  tmpTib %>%   summarise(n = first(n), # keep n             R1 = cor(x, y), # first correlation (perfect)             R2 = cor(x, z0), # next (random)             R3 = cor(x, z1), # next (weak correlation)             ### and finally: strong correlation             R4 = cor(x, z2)) %>%   pivot_longer(cols = R1 : R4) -> tmpTib tmpTib  ### now use getCIPearson() in a dplyr/tidverse pipe tmpTib %>%   group_by(name) %>% # as we want the CIs for each of those correlations   mutate(CIPearson = list(getCIPearson(value, n))) %>% # use list() as getCIPearson retuns a vector   ### can now unnest the returned values to see them   unnest_wider(CIPearson) ### in real life groups by gender or other demographics and say correlating CORE scores ### against number of children might be sensible examples of doing this }"},{"path":"/reference/getCISpearman.html","id":null,"dir":"Reference","previous_headings":"","what":"Function offering four methods to find the CI around an observed Spearman correlation — getCISpearman","title":"Function offering four methods to find the CI around an observed Spearman correlation — getCISpearman","text":"Function offering four methods find CI around observed Spearman correlation","code":""},{"path":"/reference/getCISpearman.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Function offering four methods to find the CI around an observed Spearman correlation — getCISpearman","text":"","code":"getCISpearman(rs, n, ci = 0.95, Gaussian = FALSE, FHP = FALSE)"},{"path":"/reference/getCISpearman.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Function offering four methods to find the CI around an observed Spearman correlation — getCISpearman","text":"rs numeric: observed Spearman correlation n numeric: number (paired) values correlation ci numeric: confidence interval want, default .95, .e. 95% Gaussian logical: use Gaussian lookup CI, defaults FALSE FHP logical: use Fieller, Hartley & Pearson (1957) method, defaults FALSE","code":""},{"path":"/reference/getCISpearman.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Function offering four methods to find the CI around an observed Spearman correlation — getCISpearman","text":"named vector LCL UCL","code":""},{"path":"/reference/getCISpearman.html","id":"background","dir":"Reference","previous_headings":"","what":"Background","title":"Function offering four methods to find the CI around an observed Spearman correlation — getCISpearman","text":"simple function return confidence limits confidence interval around observed Pearson correlation given number observations dataset (n) confidence interval required (ci, defaults .95).  four methods obtained using either Bonett & White (2000) approximation SE correlation Fieller, Hartley & Pearson (1957) approximation combining either looking value Gaussian get desired CI coverage using value t distribution df = n - 2.  known none methods work well, .e. give coverage matching desired without bias, n 25 /absolute population Spearman correlation .95 use caution n < 25 observed correlation > .90. function just returns named vector LCL UCL help using tidyverse pipes.  See examples. information function Rblog Confidence interval around Spearman correlation coefficient. also shiny app using function https://shiny.psyctc.org/apps/CISpearman/","code":""},{"path":"/reference/getCISpearman.html","id":"references-acknowledgements","dir":"Reference","previous_headings":"","what":"References/acknowledgements","title":"Function offering four methods to find the CI around an observed Spearman correlation — getCISpearman","text":"started finding excellent answers onestop https://stats.stackexchange.com/users/449/onestop retodomax https://stats.stackexchange.com/users/237402/retodomax question  CrossValidated specifically calculate confidence interval Spearman's rank correlation? Also, referenced page ... Bishara, . J., & Hittner, J. B. (2017). Confidence intervals correlations data normal. Behavior Research Methods, 49(1), 294–309. https://doi.org/10.3758/s13428-016-0702-8 gives extensive simulation work covering much CIs. checked code results R code given Supplement paper.  ... Bonett, D. G., & Wright, T. . (2000). Sample size requirements estimating pearson, kendall spearman correlations. Psychometrika, 65(1), 23–28. https://doi.org/10.1007/BF02294183 classic (interesting see typesetting equations improved since 2000!) ... Ruscio, J. (2008). Constructing Confidence Intervals Spearman’s Rank Correlation Ordinal Data: Simulation Study Comparing Analytic Bootstrap Methods. Journal Modern Applied Statistical Methods, 7(2), 416–434. https://doi.org/10.22237/jmasm/1225512360 another excellent paper topic. Thanks authors.","code":""},{"path":"/reference/getCISpearman.html","id":"history-development-log","dir":"Reference","previous_headings":"","what":"History/development log","title":"Function offering four methods to find the CI around an observed Spearman correlation — getCISpearman","text":"Version 1: 27.xi.23","code":""},{"path":[]},{"path":"/reference/getCISpearman.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Function offering four methods to find the CI around an observed Spearman correlation — getCISpearman","text":"Chris Evans","code":""},{"path":"/reference/getCISpearman.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Function offering four methods to find the CI around an observed Spearman correlation — getCISpearman","text":"","code":"if (FALSE) { getCISpearman(.5, 50) # LCL       UCL # 0.2338274 0.6964523 getCISpearman(.5, 50, Gaussian = TRUE) # LCL       UCL # 0.2412245 0.6923933 getCISpearman(.5, 50, Gaussian = TRUE, FHP = TRUE) # LCL       UCL # 0.2495794 0.6877365 getCISpearman(.5, 50, Gaussian = FALSE, FHP = TRUE) # LCL       UCL # 0.2424304 0.6917259  ### imaginary correlations of CORE-OM scores against number of children by parental gender ### create a tibble of the imaginary data tribble(~pGender, ~rs, ~n,         \"M\", .12, 643,         \"F\", .57, 808) -> tibDat  ### check it tibDat  ### use it tibDat %>%   rowwise() %>%   ### need to use list() as we're getting a vector   ### using the default arguments for getCISpearman()   mutate(CISpearman = list(getCISpearman(rs, n))) %>%   ### now get the values from the vectors   unnest_wider(CISpearman) # # A tibble: 2 × 5 # pGender    rs     n    LCL   UCL # <chr>   <dbl> <dbl>  <dbl> <dbl> # 1 M        0.12   643 0.0427 0.196 # 2 F        0.57   808 0.518  0.618 ### pretty clear that the correlation for the women is very different ### from that for the men }"},{"path":"/reference/getCIforQuantiles.html","id":null,"dir":"Reference","previous_headings":"","what":"Function returns a tibble of quantiles and confidence interval of quantiles for a range of probabilities.\n' — getCIforQuantiles","title":"Function returns a tibble of quantiles and confidence interval of quantiles for a range of probabilities.\n' — getCIforQuantiles","text":"Function returns tibble quantiles confidence interval quantiles range probabilities. '","code":""},{"path":"/reference/getCIforQuantiles.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Function returns a tibble of quantiles and confidence interval of quantiles for a range of probabilities.\n' — getCIforQuantiles","text":"","code":"getCIforQuantiles(   vecDat = NA,   vecQuantiles = NA,   method = c(\"Nyblom\", \"Exact\", \"Bootstrap\"),   ci = 0.95,   R = 9999,   type = NULL )"},{"path":"/reference/getCIforQuantiles.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Function returns a tibble of quantiles and confidence interval of quantiles for a range of probabilities.\n' — getCIforQuantiles","text":"vecDat Vector data vecQuantiles Vector quantiles want method Method want use get confidence intervals ci Confidence interval (default .95) R Number bootstrap replications using bootstrap method type Type quantile (default 8)","code":""},{"path":"/reference/getCIforQuantiles.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Function returns a tibble of quantiles and confidence interval of quantiles for a range of probabilities.\n' — getCIforQuantiles","text":"tibble results variables: prob: quantile required, .e. .05, .5 give median, .95 95th (per)centile n: total n nOK: number non-missing values nMiss: number missing values quantile: quantile value prob LCL: lower confidence limit quantile UCL: upper confidence limt quantile","code":""},{"path":"/reference/getCIforQuantiles.html","id":"background","dir":"Reference","previous_headings":"","what":"Background","title":"Function returns a tibble of quantiles and confidence interval of quantiles for a range of probabilities.\n' — getCIforQuantiles","text":"Quantiles, like percentiles, can useful way understanding distribution, MH research, typically distribution scores, often either help-seeking sample distribution non-help-seeking sample. example, might want see score someone 95% (per)centile, .e. .95 quantile non-help-seeking sample distribution. catch , like sample statistic, quantile/percentile generally used estimate population value.  say really interested whether score 95% percentile non-help-seeking population.  means quantiles/percentiles sample approximate guides population values. usual, confidence interval (CI) around observed quantile way seeing precisely, assuming random sampling course, sample quantile can guide us population quantile. usual, catch different ways compute CI around quantile.  function wrapper around three methods Michael Höhle's quantileCI package: Nyblom method \"exact\" method bootstrap method understand quantileCI package classic paper Nyblom, generally Nyblom method good better exact method much faster bootstrapping Nyblom method default put others completeness.","code":""},{"path":"/reference/getCIforQuantiles.html","id":"history","dir":"Reference","previous_headings":"","what":"History","title":"Function returns a tibble of quantiles and confidence interval of quantiles for a range of probabilities.\n' — getCIforQuantiles","text":"Started 4.vii.23","code":""},{"path":"/reference/getCIforQuantiles.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Function returns a tibble of quantiles and confidence interval of quantiles for a range of probabilities.\n' — getCIforQuantiles","text":"Nyblom, J. (1992). Note interpolated order statistics. Statistics & Probability Letters, 14(2), 129–131. https://doi.org/10.1016/0167-7152(92)90076-H https://github.com/mhoehle/quantileCI","code":""},{"path":[]},{"path":"/reference/getCIforQuantiles.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Function returns a tibble of quantiles and confidence interval of quantiles for a range of probabilities.\n' — getCIforQuantiles","text":"Chris Evans","code":""},{"path":"/reference/getCIforQuantiles.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Function returns a tibble of quantiles and confidence interval of quantiles for a range of probabilities.\n' — getCIforQuantiles","text":"","code":"if (FALSE) { ### will need tidyverse to run library(tidyverse) ### will need quantileCI to run ### if you don't have quantileCI package you need to get it from github: # devtools::install_github(\"hoehleatsu/quantileCI\") library(quantileCI)  ### use the exact method getCIforQuantiles(1:1000, c(.1, .5, .95), \"e\", ci = .95, R = 9999, type = 8) ### use the Nyblom method getCIforQuantiles(1:1000, c(.1, .5, .95), \"n\", ci = .95, R = 9999, type = 8) ### use the bootstrap method getCIforQuantiles(1:1000, c(.1, .5, .95), \"b\", ci = .95, R = 9999, type = 8) }"},{"path":"/reference/getCSC.html","id":null,"dir":"Reference","previous_headings":"","what":"Function to return Jacobson (et al.) Clinically Significant Change (CSC) — getCSC","title":"Function to return Jacobson (et al.) Clinically Significant Change (CSC) — getCSC","text":"Fairly trivial function compute CSC, mainly useful using group_by() piping find CSCs various groups/subsets data.","code":""},{"path":"/reference/getCSC.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Function to return Jacobson (et al.) Clinically Significant Change (CSC) — getCSC","text":"","code":"getCSC(formula1, data)"},{"path":"/reference/getCSC.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Function to return Jacobson (et al.) Clinically Significant Change (CSC) — getCSC","text":"formula1 defines variables use score ~ grp score scores grp grouping data data, typically subset creatd group_by() pick(everything()) called tidyverse pipe","code":""},{"path":"/reference/getCSC.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Function to return Jacobson (et al.) Clinically Significant Change (CSC) — getCSC","text":"single numeric value CSC","code":""},{"path":"/reference/getCSC.html","id":"background","dir":"Reference","previous_headings":"","what":"Background","title":"Function to return Jacobson (et al.) Clinically Significant Change (CSC) — getCSC","text":"Like CSC, RCI comes classic paper Jacobson, Follette & Revenstorf (1984).  thrust paper trying bridge gap (quantitative) researchers , still, tend think terms aggregated data change therapy, clinicians tend think individual client's change. authors came two indices: RCI, one : CSC Clinically Significant Change (cut-). authors defined three methods set criterion \"clinical\" \"non-clinical\" scores. Generally prefer \"help-seeking\" \"non-help-seeking\" \"clinical\" \"non-clinical\" avoid automatically jumping disease/medical model. measure cued higher scores indicate problems methods follows. Method : score 2 SD mean help-seeking group. Method b: score 2 SD mean non-help-seeking group. Method c: score means two groups defined , Gaussian distributions scores, cutting point misclassify proportions group. often spoken point halfway two means definition actually subtle halfway means two groups score SD.  groups different SD formula method c . \\[\\frac{SD_{HS}*M_{notHS} + SD_{notHS}*M_{HS}}{SD_{HS}+SD_{notHS}}\\] (SD Standard Deviation (doh!) M Mean)","code":""},{"path":"/reference/getCSC.html","id":"history-development-log","dir":"Reference","previous_headings":"","what":"History/development log","title":"Function to return Jacobson (et al.) Clinically Significant Change (CSC) — getCSC","text":"Started 5.iv.21","code":""},{"path":"/reference/getCSC.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Function to return Jacobson (et al.) Clinically Significant Change (CSC) — getCSC","text":"Jacobson, N. S., Follette, W. C., & Revenstorf, D. (1984). Psychotherapy outcome research: Methods reporting variability evaluating clinical significance. Behavior Therapy, 15, 336–352. Evans, C., Margison, F., & Barkham, M. (1998). contribution reliable clinically significant change methods evidence-based mental health. Evidence Based Mental Health, 1, 70–72. https://doi.org/0.1136/ebmh.1.3.70","code":""},{"path":[]},{"path":"/reference/getCSC.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Function to return Jacobson (et al.) Clinically Significant Change (CSC) — getCSC","text":"Chris Evans","code":""},{"path":"/reference/getCSC.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Function to return Jacobson (et al.) Clinically Significant Change (CSC) — getCSC","text":"","code":"if (FALSE) { # example uses very crude simulated data but illustrates utility of being able to pipe grouped # data into getCSC() library(tidyverse) set.seed(12345) n <- 250 # total sample size scores <- rnorm(n) # get some random numbers # now random allocation to help-seeking or non-help-seeking samples grp <- sample(c(\"HS\", \"notHS\"), n, replace = TRUE) # and random allocation by gender gender <- sample(c(\"F\", \"M\"), n, replace = TRUE) list(scores = scores,     grp = grp,     gender = gender) %>%  as_tibble() %>%  mutate(scores = if_else(gender == \"F\", scores + .13, scores), # make women .13 higher scoring         ### then make help-seeking group score 1.1 higher         scores = if_else(grp == \"HS\", scores + 1.1, scores)) -> tibDat ### now get CSC overall tibDat %>%  ### pick(everything()) has replaced cur_data() in dplyr: more flexible but more verbose  summarise(CSC = getCSC(scores ~ grp, pick(everything())))  ### get CSC by gender tibDat %>%  group_by(gender) %>%  summarise(CSC = getCSC(scores ~ grp, pick(everything()))) }"},{"path":"/reference/getChronbachAlpha.html","id":null,"dir":"Reference","previous_headings":"","what":"Simple function to return Cronbach's alpha — getChronbachAlpha","title":"Simple function to return Cronbach's alpha — getChronbachAlpha","text":"Simple function return Cronbach's alpha","code":""},{"path":"/reference/getChronbachAlpha.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Simple function to return Cronbach's alpha — getChronbachAlpha","text":"","code":"getChronbachAlpha(dat, na.rm = TRUE, verbose = TRUE)"},{"path":"/reference/getChronbachAlpha.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Simple function to return Cronbach's alpha — getChronbachAlpha","text":"dat data, matrix, data frame tibble numeric item data columns na.rm logical causes function throw error missing data verbose logical, FALSE switches message n(items) number usable rows","code":""},{"path":"/reference/getChronbachAlpha.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Simple function to return Cronbach's alpha — getChronbachAlpha","text":"Cronbach numeric","code":""},{"path":"/reference/getChronbachAlpha.html","id":"background","dir":"Reference","previous_headings":"","what":"Background","title":"Simple function to return Cronbach's alpha — getChronbachAlpha","text":"simple function fair bit sanity checking input returns Cronbach's alpha first described comprehensively classic paper Cronbach (1951).  extensive literature criticising alpha index internal consistency/reliability often, reading, failing note Cronbach's original paper quite clear issues.  Alpha measure unidimensionality measure shared covariance strong arguments best indicator internal reliability marked differences variance items. various arguments led many recommend McDonald's omega better measure alpha. Perhaps partly canonical reference McDonald's omega book (McDonald, 1999) paper, literature , mind , bit complicated.  good coverage help omega() Revelle's package psych omega. Despite complexities alpha remains reported statistic internal relability multi-item measures good reasons: simple, robust never claimed things !","code":""},{"path":"/reference/getChronbachAlpha.html","id":"history-development-log","dir":"Reference","previous_headings":"","what":"History/development log","title":"Simple function to return Cronbach's alpha — getChronbachAlpha","text":"Started 5.iv.21","code":""},{"path":"/reference/getChronbachAlpha.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Simple function to return Cronbach's alpha — getChronbachAlpha","text":"Cronbach, L. J. (1951). Coefficient alpha internal structure tests. Psychometrika, 16(3), 297–334. McDonald R. P. (1999) Test Theory: Unified Treatment. Mahwah, NJ: Erlbaum","code":""},{"path":[]},{"path":"/reference/getChronbachAlpha.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Simple function to return Cronbach's alpha — getChronbachAlpha","text":"Chris Evans","code":""},{"path":"/reference/getChronbachAlpha.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Simple function to return Cronbach's alpha — getChronbachAlpha","text":"","code":"if (FALSE) { ### make some nonsense data tmpMat <- matrix(rnorm(200), ncol = 10) ### default call getChronbachAlpha(tmpMat) ### switch off message with dimensions of non-missing data getChronbachAlpha(tmpMat, verbose = FALSE) }"},{"path":"/reference/getICCfromMLM.html","id":null,"dir":"Reference","previous_headings":"","what":"Get ICC for levels in multilevel models — getICCfromMLM","title":"Get ICC for levels in multilevel models — getICCfromMLM","text":"Get ICC levels multilevel models","code":""},{"path":"/reference/getICCfromMLM.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get ICC for levels in multilevel models — getICCfromMLM","text":"","code":"getICCfromMLM(modelOutput, percent = TRUE)"},{"path":"/reference/getICCfromMLM.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get ICC for levels in multilevel models — getICCfromMLM","text":"modelOutput output nlme::lme(), lme4::lmer() lmerTest::lmer() percent logical determining whether output percentage variance well ICC","code":""},{"path":"/reference/getICCfromMLM.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get ICC for levels in multilevel models — getICCfromMLM","text":"tibble containing ICCs level MLM model output , percent == TRUE, percentages variance ","code":""},{"path":"/reference/getICCfromMLM.html","id":"background","dir":"Reference","previous_headings":"","what":"Background","title":"Get ICC for levels in multilevel models — getICCfromMLM","text":"6.iii.21: use nlme::lme().  works lme4::lmer() lmerTest::lmer() sort issues results nlme::lme() differing lme4::lmer() ICC gives proportion variance dependent variable Multi-Level Models (MLMs).  field multilevel models typically levels measurements points individual participants participants can nested within therapist, service, organisation perhaps area.  Crucially MLM handles non-independence observations within \"level\".  Typically, , may fixed predictors participants value, e.g. gender, age, social deprivation, previous therapy.  Apart handling non-independence observations Standard Errors estimates, (sometimes, lme4::lmer()) p-values robust non-independence, huge power MLMs can random effects, instead assuming participants starting score measure can allowed different starting scores MLM algorithm estimate.  Perhaps even importantly, can fit model assumed every participant's score change rate slope score time can another random variable. ICCs important multiple levels model help decide much variance shared within level.  good way think ICC, described help specr::icc_specs() help ICC mean correlation across possible pairs scores dependent variable within level.  Typically, fitting MLMs therapy change score trajectories participant level much higher ICC , say, service level.  However, may clear similarity participants within services non-trivial ICC service level. specr::icc_specs() function, leant heavily writing function, works MLM output lme4::lmer() function adds really handles output nlme::lme() actually structures output substantially differently lme4::lmer().","code":""},{"path":"/reference/getICCfromMLM.html","id":"cautionary-note","dir":"Reference","previous_headings":"","what":"Cautionary note","title":"Get ICC for levels in multilevel models — getICCfromMLM","text":"really expert area think quite varied views ICCs multiple fixed predictors mean, even varied views even whether ICCs can meaningful MLMs random predictors function designed intercept MLMs, .e. fixed predictors random predictors.  typical therapy change data think probably need: tells us partitioning scores within participants within whatever levels : therapists, services etc. cursory testing function gives results specr::icc_specs() two level three level MLMs lme4::lmer() results data put analysis using models nlme::lme().  ever, warranty function!","code":""},{"path":"/reference/getICCfromMLM.html","id":"history-development-log","dir":"Reference","previous_headings":"","what":"History/development log","title":"Get ICC for levels in multilevel models — getICCfromMLM","text":"Started 5.iv.21","code":""},{"path":"/reference/getICCfromMLM.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Get ICC for levels in multilevel models — getICCfromMLM","text":"Chris Evans","code":""},{"path":"/reference/getICCfromMLM.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get ICC for levels in multilevel models — getICCfromMLM","text":"","code":"if (FALSE) { getICCfromMLM(model2nlmer) getICCfromMLM(model2lme4) ### check against specr::icc_specs() specr::icc_specs(model2lme4) }"},{"path":"/reference/getNNA.html","id":null,"dir":"Reference","previous_headings":"","what":"Trivial function to count number of NA values in input — getNNA","title":"Trivial function to count number of NA values in input — getNNA","text":"Trivial function count number NA values input","code":""},{"path":"/reference/getNNA.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Trivial function to count number of NA values in input — getNNA","text":"","code":"getNNA(x)"},{"path":"/reference/getNNA.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Trivial function to count number of NA values in input — getNNA","text":"x vector containing values check NAs","code":""},{"path":"/reference/getNNA.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Trivial function to count number of NA values in input — getNNA","text":"numeric: number NA values ","code":""},{"path":"/reference/getNNA.html","id":"history-development-log","dir":"Reference","previous_headings":"","what":"History/development log","title":"Trivial function to count number of NA values in input — getNNA","text":"Started 5.iv.21","code":""},{"path":[]},{"path":"/reference/getNNA.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Trivial function to count number of NA values in input — getNNA","text":"Chris Evans","code":""},{"path":"/reference/getNNA.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Trivial function to count number of NA values in input — getNNA","text":"","code":"getNNA(c(1:5, NA, 7:10)) #> [1] 1 getNNA(c(1:5, NA, 7:10)) #> [1] 1"},{"path":"/reference/getNOK.html","id":null,"dir":"Reference","previous_headings":"","what":"Trivial function to count number of non-NA values in input — getNOK","title":"Trivial function to count number of non-NA values in input — getNOK","text":"Trivial function count number non-NA values input","code":""},{"path":"/reference/getNOK.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Trivial function to count number of non-NA values in input — getNOK","text":"","code":"getNOK(x)"},{"path":"/reference/getNOK.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Trivial function to count number of non-NA values in input — getNOK","text":"x vector values","code":""},{"path":"/reference/getNOK.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Trivial function to count number of non-NA values in input — getNOK","text":"numeric: number non-NA values x","code":""},{"path":"/reference/getNOK.html","id":"history-development-log","dir":"Reference","previous_headings":"","what":"History/development log","title":"Trivial function to count number of non-NA values in input — getNOK","text":"Started 5.iv.21","code":""},{"path":[]},{"path":"/reference/getNOK.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Trivial function to count number of non-NA values in input — getNOK","text":"Chris Evans","code":""},{"path":"/reference/getNOK.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Trivial function to count number of non-NA values in input — getNOK","text":"","code":"getNOK(c(1:5, NA, 7:10)) #> [1] 9"},{"path":"/reference/getRCIfromSDandAlpha.html","id":null,"dir":"Reference","previous_headings":"","what":"Function returns RCI given baseline score SD, reliability and confidence sought — getRCIfromSDandAlpha","title":"Function returns RCI given baseline score SD, reliability and confidence sought — getRCIfromSDandAlpha","text":"Function returns RCI given baseline score SD, reliability confidence sought","code":""},{"path":"/reference/getRCIfromSDandAlpha.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Function returns RCI given baseline score SD, reliability and confidence sought — getRCIfromSDandAlpha","text":"","code":"getRCIfromSDandAlpha(SD, rel, conf = 0.95)"},{"path":"/reference/getRCIfromSDandAlpha.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Function returns RCI given baseline score SD, reliability and confidence sought — getRCIfromSDandAlpha","text":"SD single number giving baseline score standard deviation rel reliability measure, typically, sensibly, Cronbach's alpha conf expectation/confidence interval, almost always .95","code":""},{"path":"/reference/getRCIfromSDandAlpha.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Function returns RCI given baseline score SD, reliability and confidence sought — getRCIfromSDandAlpha","text":"single number giving RCI","code":""},{"path":"/reference/getRCIfromSDandAlpha.html","id":"background","dir":"Reference","previous_headings":"","what":"Background","title":"Function returns RCI given baseline score SD, reliability and confidence sought — getRCIfromSDandAlpha","text":"Like CSC, RCI comes classic paper Jacobson, Follette & Revenstorf (1984).  thrust paper trying bridge gap (quantitative) researchers , still, tend think terms aggregated data change therapy, clinicians tend think individual client's change. authors came two indices: CSC, one : RCI Reliable Change Index. \\[RCI = \\varphi(conf)\\! \\times\\! \\sqrt{2}\\! \\times SD\\times\\sqrt{1 - rel}\\] SD Standard Deviation (doh!) baseline/t1, \\(\\varphi(conf)\\) value Gaussian distribution conf coverage conf, usually .95 hence \\(\\varphi(conf)\\) = 1.96 rel reliability measures, usually Cronbach's alpha. logic bit: \\[\\sqrt{2}\\! \\times SD\\times\\sqrt{1 - rel}\\] standard error (SE) difference two scores Classical Test Theory (CTT)  fact 1984 paper omitted \\(\\sqrt(2)\\) term corrected subsequent letter Christensen & Menoza (1986).  accept model CTT distributions Gaussian multiplying SE \\(\\varphi(conf)\\) gives range scores include proportion conf change arise unreliability measurement alone. widespread misunderstanding RCI generic benchmark, fact coverage expectation based SD baseline scores calculation done sample.  Computing RCI dataset allows designate change \"reliable improvement\", \"reliable deterioration\" \"reliable change\". perhaps useful three particular sets clients: high starting scores might improvement enough drop CSC criterion, achieving \"clinically significant change\", able see improve expected unreliability measurement alone started just CSC crossed CSC whose change falls \"reliable change\" range started CSC course therefore show clinically significant change may still show reliable improvement. also issue Jacobson colleagues looking criteria categorise individual change, sadly, often RCSC paradigm seems become just another way aggregate scores counting.","code":""},{"path":"/reference/getRCIfromSDandAlpha.html","id":"history","dir":"Reference","previous_headings":"","what":"History","title":"Function returns RCI given baseline score SD, reliability and confidence sought — getRCIfromSDandAlpha","text":"Started 5.iv.21","code":""},{"path":"/reference/getRCIfromSDandAlpha.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Function returns RCI given baseline score SD, reliability and confidence sought — getRCIfromSDandAlpha","text":"Christensen, L., & Mendoza, J. L. (1986). method assessing change single subject: alteration RC index. Behavior Therapy, 17, 305–308. Jacobson, N. S., Follette, W. C., & Revenstorf, D. (1984). Psychotherapy outcome research: Methods reporting variability evaluating clinical significance. Behavior Therapy, 15, 336–352. Jacobson, N. S., & Truax, P. (1991). Clinical significance: statistical approach defining meaningful change psychotherapy research. Journal Consulting Clinical Psychology, 59(1), 12–19. Evans, C., Margison, F., & Barkham, M. (1998). contribution reliable clinically significant change methods evidence-based mental health. Evidence Based Mental Health, 1, 70–72. https://doi.org/0.1136/ebmh.1.3.70","code":""},{"path":[]},{"path":"/reference/getRCIfromSDandAlpha.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Function returns RCI given baseline score SD, reliability and confidence sought — getRCIfromSDandAlpha","text":"Chris Evans","code":""},{"path":"/reference/getRCIfromSDandAlpha.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Function returns RCI given baseline score SD, reliability and confidence sought — getRCIfromSDandAlpha","text":"","code":"if (FALSE) {  getRCIfromSDandAlpha(7.5, .8, conf = 0.95) # from Jacobson & Truax (1991) }"},{"path":"/reference/getRelBySpearmanBrown.html","id":null,"dir":"Reference","previous_headings":"","what":"Function using the Spearman-Brown formula to predict reliability for new length or get length for desired reliability — getRelBySpearmanBrown","title":"Function using the Spearman-Brown formula to predict reliability for new length or get length for desired reliability — getRelBySpearmanBrown","text":"Function using Spearman-Brown formula predict reliability new length get length desired reliability","code":""},{"path":"/reference/getRelBySpearmanBrown.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Function using the Spearman-Brown formula to predict reliability for new length or get length for desired reliability — getRelBySpearmanBrown","text":"","code":"getRelBySpearmanBrown(   oldRel,   lengthRatio = NULL,   newRel = NULL,   verbose = TRUE )"},{"path":"/reference/getRelBySpearmanBrown.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Function using the Spearman-Brown formula to predict reliability for new length or get length for desired reliability — getRelBySpearmanBrown","text":"oldRel numeric: reliability lengthRatio numeric: ratio new length old length newRel numeric: desired reliability verbose logical: whether give messages explaining function","code":""},{"path":"/reference/getRelBySpearmanBrown.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Function using the Spearman-Brown formula to predict reliability for new length or get length for desired reliability — getRelBySpearmanBrown","text":"numeric: either predicted reliability desired length ratio (whichever input NULL)","code":""},{"path":"/reference/getRelBySpearmanBrown.html","id":"background","dir":"Reference","previous_headings":"","what":"background","title":"Function using the Spearman-Brown formula to predict reliability for new length or get length for desired reliability — getRelBySpearmanBrown","text":"ancient psychometrics still use.  checked two functions psychometric package gratitude.  information, see: https://www.psyctc.org/Rblog/posts/2021-04-09-spearman-brown-formula/ formula simple: \\[{\\rho^{*}}=\\frac{n\\rho}{1 + (n-1)\\rho}\\] short summary multi-item measure overall internal reliability/consistency function mean inter-item correlations number items , mean inter-item correlation, longer measure higher reliability.  formula relationship published separately Spearman 1910 year Brown, working Karl Pearson, running feud Spearman.  See: https://en.wikipedia.org/wiki/Spearman%E2%80%93Brown_prediction_formula#History also gives arguments formula really termed Brown-Spearman formula bowing historical precedent .","code":""},{"path":"/reference/getRelBySpearmanBrown.html","id":"history-development-log","dir":"Reference","previous_headings":"","what":"History/development log","title":"Function using the Spearman-Brown formula to predict reliability for new length or get length for desired reliability — getRelBySpearmanBrown","text":"Started 5.iv.21, updated help page 10.iv.21.","code":""},{"path":"/reference/getRelBySpearmanBrown.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Function using the Spearman-Brown formula to predict reliability for new length or get length for desired reliability — getRelBySpearmanBrown","text":"Chris Evans","code":""},{"path":"/reference/getRelBySpearmanBrown.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Function using the Spearman-Brown formula to predict reliability for new length or get length for desired reliability — getRelBySpearmanBrown","text":"","code":"if (FALSE) { ### if you had a reliability of .8 from a measure of, say 10, items, ###   what reliability might you expect from one of 34 items? getRelBySpearmanBrown(.8, 3.4)  ### if you had a reliability of .7 from 10 items how much lower ###  would you expect the reliability to be from a measure of only 5 items? ### from examples for psychometric::SBrel() with respect and gratitude! getRelBySpearmanBrown(.7, .5, verbose = FALSE)  ### if you have a reliability of .7, how much longer a measure do you expect ###    to need for a reliability of .9? ###    again with acknowledgement to psychometric::SBlength() with respect and gratitude! getRelBySpearmanBrown(.7, lengthRatio = NULL, .9) }"},{"path":"/reference/getScoreFromItems.html","id":null,"dir":"Reference","previous_headings":"","what":"Title Function to convert a vector of item responses to a scale/measure score — getScoreFromItems","title":"Title Function to convert a vector of item responses to a scale/measure score — getScoreFromItems","text":"Title Function convert vector item responses scale/measure score","code":""},{"path":"/reference/getScoreFromItems.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Title Function to convert a vector of item responses to a scale/measure score — getScoreFromItems","text":"","code":"getScoreFromItems(   vec,   scoreAsMean = TRUE,   propProrateMin = NULL,   nProrateMin = NULL,   k = NULL,   checkItemScores = FALSE,   minItemScore = NULL,   maxItemScore = NULL )"},{"path":"/reference/getScoreFromItems.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Title Function to convert a vector of item responses to a scale/measure score — getScoreFromItems","text":"vec item responses/scores scoreAsMean Score mean item scores (opposed total/sum score) propProrateMin Minimum proportion missing item responses allows prorating nProrateMin Minimum number missing item responses allows prorating k Optional check number items checkItemScores logical, .e. TRUE FALSE, says whether check item scores minItemScore minimum allowed item score maxItemScore maximum allowed item score","code":""},{"path":"/reference/getScoreFromItems.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Title Function to convert a vector of item responses to a scale/measure score — getScoreFromItems","text":"required score","code":""},{"path":"/reference/getScoreFromItems.html","id":"background","dir":"Reference","previous_headings":"","what":"Background","title":"Title Function to convert a vector of item responses to a scale/measure score — getScoreFromItems","text":"simple function designed used tidyverse dplyr function get single score set items apply prorating rule (may prorating allowed) returns mean item scores mean scores.  put kept writing new functions every time needed one!  usefully, built prorating perhaps usefully , built sanity checks inputs item scores.","code":""},{"path":[]},{"path":"/reference/hyphenateWords.html","id":null,"dir":"Reference","previous_headings":"","what":"Function to convert numbers to hyphenated (English) words, e.g. 87 to ","title":"Function to convert numbers to hyphenated (English) words, e.g. 87 to ","text":"Function convert numbers hyphenated (English) words, e.g. 87 \"eighty-seven\"","code":""},{"path":"/reference/hyphenateWords.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Function to convert numbers to hyphenated (English) words, e.g. 87 to ","text":"","code":"hyphenateWords(x, capitalise = FALSE)"},{"path":"/reference/hyphenateWords.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Function to convert numbers to hyphenated (English) words, e.g. 87 to ","text":"x numeric capitalise logical","code":""},{"path":"/reference/hyphenateWords.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Function to convert numbers to hyphenated (English) words, e.g. 87 to ","text":"character","code":""},{"path":"/reference/hyphenateWords.html","id":"history-development-log","dir":"Reference","previous_headings":"","what":"History/development log","title":"Function to convert numbers to hyphenated (English) words, e.g. 87 to ","text":"Started 5.iv.21","code":""},{"path":[]},{"path":"/reference/hyphenateWords.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Function to convert numbers to hyphenated (English) words, e.g. 87 to ","text":"Chris Evans","code":""},{"path":"/reference/hyphenateWords.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Function to convert numbers to hyphenated (English) words, e.g. 87 to ","text":"","code":"hyphenateWords(87) #> Loading required namespace: english #> [1] \"eighty-seven\" hyphenateWords(87, capitalise = TRUE) #> [1] \"Eighty-seven\""},{"path":"/reference/isNothing.html","id":null,"dir":"Reference","previous_headings":"","what":"Title Tests for NULL, NA or NAN — isNothing","title":"Title Tests for NULL, NA or NAN — isNothing","text":"Title Tests NULL, NA NAN","code":""},{"path":"/reference/isNothing.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Title Tests for NULL, NA or NAN — isNothing","text":"","code":"isNothing(x)"},{"path":"/reference/isNothing.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Title Tests for NULL, NA or NAN — isNothing","text":"x input test","code":""},{"path":"/reference/isNothing.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Title Tests for NULL, NA or NAN — isNothing","text":"logical TRUE x NULL, NA NAN","code":""},{"path":"/reference/isNothing.html","id":"background","dir":"Reference","previous_headings":"","what":"Background","title":"Title Tests for NULL, NA or NAN — isNothing","text":"https://stackoverflow.com/questions/19655579/-function--returns-true--na-null-nan--r function contributed https://stackoverflow.com/users/2275286/hbat","code":""},{"path":"/reference/isOneToOne.html","id":null,"dir":"Reference","previous_headings":"","what":"Data checking function to check if the contents of two variables have a 1:1 mapping — isOneToOne","title":"Data checking function to check if the contents of two variables have a 1:1 mapping — isOneToOne","text":"Data checking function check contents two variables 1:1 mapping","code":""},{"path":"/reference/isOneToOne.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Data checking function to check if the contents of two variables have a 1:1 mapping — isOneToOne","text":"","code":"isOneToOne(x, y)  checkIsOneToOne(x, y)"},{"path":"/reference/isOneToOne.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Data checking function to check if the contents of two variables have a 1:1 mapping — isOneToOne","text":"x first variable y second variable","code":""},{"path":"/reference/isOneToOne.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Data checking function to check if the contents of two variables have a 1:1 mapping — isOneToOne","text":"logical: TRUE 1:1 mapping, FALSE otherwise","code":""},{"path":"/reference/isOneToOne.html","id":"background","dir":"Reference","previous_headings":"","what":"Background","title":"Data checking function to check if the contents of two variables have a 1:1 mapping — isOneToOne","text":"little utility function use time time want check whether two variables one one mapping .  Typically one short code say variable x, , say variable y. two vectors, one short codes, x, one longer, y, perfect 1:1 mapping, value x must number mapped value y.  example:","code":""},{"path":"/reference/isOneToOne.html","id":"acknowledgements","dir":"Reference","previous_headings":"","what":"Acknowledgements","title":"Data checking function to check if the contents of two variables have a 1:1 mapping — isOneToOne","text":"found nice way https://stackoverflow.com/questions/52399474/check--variables----one--one-mapping","code":""},{"path":"/reference/isOneToOne.html","id":"history-development-log","dir":"Reference","previous_headings":"","what":"History/development log","title":"Data checking function to check if the contents of two variables have a 1:1 mapping — isOneToOne","text":"Started 5.iv.21","code":""},{"path":[]},{"path":"/reference/isOneToOne.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Data checking function to check if the contents of two variables have a 1:1 mapping — isOneToOne","text":"Chris Evans","code":""},{"path":"/reference/isOneToOne.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Data checking function to check if the contents of two variables have a 1:1 mapping — isOneToOne","text":"","code":"if (FALSE) { ### this should map OK isOneToOne(1:5,letters[1:5]) ### 1:1 doesn't actually mean just one of each, ### just that the mapping is 1:1! isOneToOne(rep(1:5, 2), rep(letters[1:5], 2)) ### should throw an error as unequal length isOneToOne(1:26, letters[1:25]) ### but this is OK isOneToOne(1:26, c(\"1\", letters[1:25])) ### but this is not as it's no longer 1:1 isOneToOne(c(1, 1:26), c(\"1\", letters[1:25], \"1\")) ### same the other way around (essentially) isOneToOne(1:26,c(\"a\",letters[1:25])) }"},{"path":"/reference/lookupCSCgenderAndAge.html","id":null,"dir":"Reference","previous_headings":"","what":"Function using gender and age in input file, with a lookup, to get appropriate CSC values — lookupCSCgenderAndAge","title":"Function using gender and age in input file, with a lookup, to get appropriate CSC values — lookupCSCgenderAndAge","text":"Function using gender age input file, lookup, get appropriate CSC values","code":""},{"path":"/reference/lookupCSCgenderAndAge.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Function using gender and age in input file, with a lookup, to get appropriate CSC values — lookupCSCgenderAndAge","text":"","code":"lookupCSCgenderAndAge(   useInternalLookup = TRUE,   lookupTableName = NULL,   lookupGenderVarChar,   lookupAgeVarChar,   lookupCSCvarChar = \"CSC\",   lookupGenderF,   lookupGenderM,   lookupGenderO,   checkInternalLookup = FALSE,   checkExternalLookup = TRUE,   dataTableName,   dataGenderVarChar,   dataAgeVarChar,   dataGenderF,   dataGenderM,   dataGenderO,   dataGenderNA = NA_character_,   dataAgeNA = NA_real_,   outputCSCvarChar = \"CSC\",   lookupRef = \"Emily_PhD\",   useClinScoring = FALSE,   checkData = TRUE,   overwriteExistingVariable = FALSE,   showInternalLookup = FALSE )"},{"path":"/reference/lookupCSCgenderAndAge.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Function using gender and age in input file, with a lookup, to get appropriate CSC values — lookupCSCgenderAndAge","text":"useInternalLookup logical: whether use internal lookup table, defaults TRUE lookupTableName character: name lookup file use using internal table lookupGenderVarChar character: name gender variable lookup file lookupAgeVarChar character: name age variable lookup file lookupCSCvarChar character: name CSC variable lookup file lookupGenderF character: value representing female gender lookup file lookupGenderM character: value representing male gender lookup file lookupGenderO character: value representing gender lookup file checkInternalLookup logical: whether print check internal lookup checkExternalLookup logical: whether print check external lookup dataTableName character: name data file use dataGenderVarChar character: value representing female gender data file dataAgeVarChar character: name gender variable data file dataGenderF value representing female gender data file dataGenderM value representing male gender data file dataGenderO value representing gender data file dataGenderNA vector values (one ) representing missing gender values datafile dataAgeNA vector values (one ) representing missing age values data outputCSCvarChar character: name output CSC variable, defaults \"CSC\", lookupRef character: internal referential lookup data use useClinScoring logical: whether use item mean scoring \"clinical\" scoring checkData logical: whether check issues data overwriteExistingVariable logical: TRUE allows overwriting existing variable, default FALSE showInternalLookup logical: TRUE shows internal lookup table selected","code":""},{"path":"/reference/lookupCSCgenderAndAge.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Function using gender and age in input file, with a lookup, to get appropriate CSC values — lookupCSCgenderAndAge","text":"tibble containing input data added variable naming lookup used CSC values","code":""},{"path":"/reference/lookupCSCgenderAndAge.html","id":"background","dir":"Reference","previous_headings":"","what":"Background","title":"Function using gender and age in input file, with a lookup, to get appropriate CSC values — lookupCSCgenderAndAge","text":"One challenge YP-CORE, many measures, appropriate CSC (Clinically Significant Change) value use ages genders.  function takes new data gender age variable returns new tibble data plus CSC gender age given.  three lookup tables built function also allows submit lookup table.  Currently, lookup expected CSV (comma separated variable) file.  improve allow tibble perhaps formats.","code":""},{"path":"/reference/lookupCSCgenderAndAge.html","id":"references-acknowledgements","dir":"Reference","previous_headings":"","what":"References/acknowledgements","title":"Function using gender and age in input file, with a lookup, to get appropriate CSC values — lookupCSCgenderAndAge","text":"default internal lookup recent UK referential data Emily Blackshaw's PhD.  now, see https://www.coresystemtrust.org.uk/home/instruments/yp-core-information/ next UK lookup Twigg, E., Cooper, M., Evans, C., Freire, E. S., Mellor-Clark, J., McInnes, B., & Barkham, M. (2016). Acceptability, reliability, referential distributions, sensitivity change YP-CORE outcome measure: Replication refinement. Child Adolescent Mental Health, 21(2), 115–123. https://doi.org/10.1111/camh.12128 Currently internal lookup Italian data Di Biase, R., Evans, C., Rebecchi, D., Baccari, F., Saltini, ., Bravi, E., Palmieri, G., & Starace, F. (2021). Exploration psychometric properties Italian version Core Young Person’s Clinical Outcomes Routine Evaluation (YP-CORE). Research Psychotherapy: Psychopathology, Process Outcome, 24(2). https://doi.org/10.4081/ripppo.2021.554","code":""},{"path":"/reference/lookupCSCgenderAndAge.html","id":"history-development-log","dir":"Reference","previous_headings":"","what":"History/development log","title":"Function using gender and age in input file, with a lookup, to get appropriate CSC values — lookupCSCgenderAndAge","text":"Version 1: 21..2024","code":""},{"path":"/reference/lookupCSCgenderAndAge.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Function using gender and age in input file, with a lookup, to get appropriate CSC values — lookupCSCgenderAndAge","text":"Chris Evans","code":""},{"path":"/reference/lookupCSCgenderAndAge.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Function using gender and age in input file, with a lookup, to get appropriate CSC values — lookupCSCgenderAndAge","text":"","code":"if (FALSE) { ### simple usage of the function with comments explaining the arguments rather more ### see Rblog post ... for more information ### lookupCSCgenderAndAge(useInternalLookup = TRUE, # so using the internal lookup data                                                 # (could have omitted this, it's the default)    lookupTableName = NULL, # so no need to give an external lookup table name                                                 # (default again could have omitted this)    lookupGenderVarChar = \"Gender\", # name of the gender variable in the lookup table                                                 # ditto!    lookupAgeVarChar = \"Age\", # name of the age variable ditto    lookupGenderF = \"F\", # code for female gender in the lookup table (ditto)    lookupGenderM = \"M\", # code for male gender ditto    lookupGenderO = \"O\", # code for other gender ditto                         # for future proofing, current lookup tables are only binary gender    ### now the arguments about the data to code    dataTableName = tibData, # crucial name of the data to classify, this and the following    dataGenderVarChar = \"Gender\", # name of the gender variable in those data (default)    dataAgeVarChar = \"Age\", # you can work out this and the following    dataGenderF = \"F\",    dataGenderM = \"M\",    dataGenderO = \"O\",    ### no missing values in lookup tables (would be meaningless),    ### but you may have missing values in your data hence this next argument    dataGenderNA = NA_character_) -> tibBlackshaw     ### so that call returns the raw data but now with the CSC values  tibBlackshaw %>%  group_by(Gender, Age, CSC) %>%  filter(Dataset2 == \"HS\" & ID == 1) %>%  ungroup() %>%  select(ID, Gender : YPscore, Ref, CSC) %>%  flextable() %>%  autofit() }"},{"path":"/reference/plotBinconf.html","id":null,"dir":"Reference","previous_headings":"","what":"Function outputting a plot of confidence interval around a proportion for a range of sample sizes — plotBinconf","title":"Function outputting a plot of confidence interval around a proportion for a range of sample sizes — plotBinconf","text":"Function outputting plot confidence interval around proportion range sample sizes","code":""},{"path":"/reference/plotBinconf.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Function outputting a plot of confidence interval around a proportion for a range of sample sizes — plotBinconf","text":"","code":"plotBinconf(proportion, minN, maxN, step = 1, conf = 0.95, fixYlim = FALSE)  plotCIProportion(   proportion,   minN,   maxN,   step = 1,   conf = 0.95,   fixYlim = FALSE )"},{"path":"/reference/plotBinconf.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Function outputting a plot of confidence interval around a proportion for a range of sample sizes — plotBinconf","text":"proportion numeric: proportion sought (actual proportion nearest possible n) minN numeric: smallest sample size, n, estimate plot maxN numeric: largest n step numeric: steps use minN maxN, defaults 1 set higher plotting wide range n conf numeric: confidence interval width, usually .95 fixYlim logical: FALSE, ggplot finds sensible y limits, TRUE, y axis runs 0 1","code":""},{"path":"/reference/plotBinconf.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Function outputting a plot of confidence interval around a proportion for a range of sample sizes — plotBinconf","text":"ggplot object, default print can save modify like","code":""},{"path":"/reference/plotBinconf.html","id":"background","dir":"Reference","previous_headings":"","what":"Background","title":"Function outputting a plot of confidence interval around a proportion for a range of sample sizes — plotBinconf","text":"little function just plots confidence intervals (CIs) proportion range sample sizes.  wrote writing classifyScoresVectorByRCI give CIs around observed proportions thought people entirely familiar comfortable CIs might useful able see plot intervals around observed proportions change sample size. #'","code":""},{"path":"/reference/plotBinconf.html","id":"history-development-log","dir":"Reference","previous_headings":"","what":"History/development log","title":"Function outputting a plot of confidence interval around a proportion for a range of sample sizes — plotBinconf","text":"Started 5.iv.21","code":""},{"path":[]},{"path":"/reference/plotBinconf.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Function outputting a plot of confidence interval around a proportion for a range of sample sizes — plotBinconf","text":"Chris Evans","code":""},{"path":"/reference/plotBinconf.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Function outputting a plot of confidence interval around a proportion for a range of sample sizes — plotBinconf","text":"","code":"if (FALSE) {  ### 95% CI around proportion .5 for n from 10 to 70 plotBinconf(.5, 10, 70, conf = .95) # don't have to declare conf, defaults to .95 ### notice that the observed proportion wiggles up and down as n increases as ### you can only have integer counts so functions gets nearest to the desired ### proportion, here .5, possible for that n, so for n = 10, we can have perfect .5 ### but for n = 11 6/11 is .545454..  ### 90% CI around proportion .5 for n from 10 to 70 plotBinconf(.5, 10, 70, conf = .90)  ### 90% CI around proportion .5 for n from 100 to 200 plotBinconf(.5, 10, 70, conf = .90)  ### same but fixing y limits to 0 and 1 plotBinconf(.5, 10, 70, conf = .90, fixYlim = TRUE)  ### default 95% CI, exporting to tmpPlot and then changing plot plotBinconf(.5, 10, 70) -> tmpPlot tmpPlot +    ggtitle(\"95% CI around proportion .5 for n from 10 to 70\") +    theme_bw()  ### other inputs plotBinconf(0, .95, 10, 70) plotBinconf(1, .95, 10, 70) plotBinconf(.7, .95, 100, 200) plotBinconf(.3, .95, 100, 700, 5)  }"},{"path":"/reference/plotCIPearson.html","id":null,"dir":"Reference","previous_headings":"","what":"Function outputting a plot of confidence interval around a correlation for a range of sample sizes — plotCIPearson","title":"Function outputting a plot of confidence interval around a correlation for a range of sample sizes — plotCIPearson","text":"Function outputting plot confidence interval around correlation range sample sizes","code":""},{"path":"/reference/plotCIPearson.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Function outputting a plot of confidence interval around a correlation for a range of sample sizes — plotCIPearson","text":"","code":"plotCIPearson(   corr,   minN,   maxN,   step = 1,   conf = 0.95,   minY = NULL,   maxY = NULL )"},{"path":"/reference/plotCIPearson.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Function outputting a plot of confidence interval around a correlation for a range of sample sizes — plotCIPearson","text":"corr numeric: Pearson correlation minN numeric: smallest n want CI maxN numeric: largest n want CI step numeric: step want n increment (default 1), minN maxN give 200 values n conf numeric: confidence interval want, defaults .95 minY numeric: want set y axis limits input number greater -1 maxY numeric: want set y axis limits input number smaller 1 ","code":""},{"path":"/reference/plotCIPearson.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Function outputting a plot of confidence interval around a correlation for a range of sample sizes — plotCIPearson","text":"ggplot object capture plot default plot device","code":""},{"path":"/reference/plotCIPearson.html","id":"background","dir":"Reference","previous_headings":"","what":"Background","title":"Function outputting a plot of confidence interval around a correlation for a range of sample sizes — plotCIPearson","text":"another function like plotBinconf plots width confidence intervals (CIs) range sample/dataset sizes.","code":""},{"path":"/reference/plotCIPearson.html","id":"history-development-log","dir":"Reference","previous_headings":"","what":"History/development log","title":"Function outputting a plot of confidence interval around a correlation for a range of sample sizes — plotCIPearson","text":"Version 1: 5.iv.21 Version 2: 25.xi.23 Renamed plotCIPearson allow addition plotCISpearman soon.","code":""},{"path":[]},{"path":"/reference/plotCIPearson.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Function outputting a plot of confidence interval around a correlation for a range of sample sizes — plotCIPearson","text":"Chris Evans","code":""},{"path":"/reference/plotCIPearson.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Function outputting a plot of confidence interval around a correlation for a range of sample sizes — plotCIPearson","text":"","code":"if (FALSE) { ### simple example for observed 95% confidence interval (CI) around observed correlation of .7 ### for sample sizes between 10 and 100 plotCIPearson(.7, 10, 100)  ### similar but for dataset sizes between 10 and 500 by steps of 5 plotCIPearson(.7, 10, 500, 5)  ### similar but asking for 99% CI plotCIPearson(.7, 10, 500, 5, conf = .99)  ### similar but setting lower y axis limit to -1 plotCIPearson(.7, 10, 500, 5, conf = .99, minY = -1)  ### and you can set the upper y limit, observed R = 0 for a change plotCIPearson(0, 10, 500, 5, conf = .99, minY = -1, maxY = 1)  ### same but exporting to tmpPlot and then changing plot plotCIPearson(0, 10, 500, 5, conf = .99, minY = -1, maxY = 1) -> tmpPlot tmpPlot +    ggtitle(\"95% CI around observed Pearson correlation of zero for n from 10 to 500\") +    theme_bw()  }"},{"path":"/reference/plotQuantileCIsfromDat.html","id":null,"dir":"Reference","previous_headings":"","what":"Title Function that plots ecdf of a vector of values with quantiles marked with their CIs — plotQuantileCIsfromDat","title":"Title Function that plots ecdf of a vector of values with quantiles marked with their CIs — plotQuantileCIsfromDat","text":"Title Function plots ecdf vector values quantiles marked CIs","code":""},{"path":"/reference/plotQuantileCIsfromDat.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Title Function that plots ecdf of a vector of values with quantiles marked with their CIs — plotQuantileCIsfromDat","text":"","code":"plotQuantileCIsfromDat(   vecDat = NA,   vecQuantiles = NA,   method = c(\"Nyblom\", \"Exact\", \"Bootstrap\"),   ci = 0.95,   R = 9999,   type = NULL,   xLab = \"Value for probability (quantile)\",   yLab = \"Probability\",   percent = FALSE,   colPoint = \"black\",   colLCL = \"black\",   colUCL = \"black\",   vertQuantiles = TRUE,   vertCLs = FALSE,   shadeCI = TRUE,   addAnnotation = TRUE,   titleText = \"ECDF with quantiles and CIs around quantiles\",   subtitleText = \"\",   titleJust = 0.5,   themeBW = TRUE,   printPlot = TRUE,   returnPlot = FALSE )"},{"path":"/reference/plotQuantileCIsfromDat.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Title Function that plots ecdf of a vector of values with quantiles marked with their CIs — plotQuantileCIsfromDat","text":"vecDat Vector data vecQuantiles Vector quantiles wanted method Method compute CIs ci Width CI wanted R Number bootstrap replications bootstrap CI method invoked type Type quantile (defaults 8) xLab Label x axis yLab Label y axis percent Logical: whether show quantile % instead proportion (defaults FALSE) colPoint Colour quantile point (defaults \"black\") colLCL Colour LCL point (defaults \"black\") colUCL Colour UCL point (defaults \"black\") vertQuantiles Whether drop vertical line quantiles (defaults TRUE) vertCLs Whether drop vertical line confidence limits (defaults FALSE) shadeCI Whether shade area CI (defaults TRUE) addAnnotation Whether add informative annotation (defaults TRUE) titleText Text title subtitleText Text subtitle titleJust Justification title (0, .5 1, defaults .05, centred) themeBW Logical: whether use them_bw() printPlot Logical: whether print plot (defaults TRUE) returnPlot Logical: whether return plot (defaults FALSE)","code":""},{"path":"/reference/plotQuantileCIsfromDat.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Title Function that plots ecdf of a vector of values with quantiles marked with their CIs — plotQuantileCIsfromDat","text":"plot ggplot object returnPlot == TRUE","code":""},{"path":"/reference/plotQuantileCIsfromDat.html","id":"background","dir":"Reference","previous_headings":"","what":"Background","title":"Title Function that plots ecdf of a vector of values with quantiles marked with their CIs — plotQuantileCIsfromDat","text":"empirical cumulative distribution function alternative histogram show distribution set scores.  plots proportion sample set scores observed score score.  proportion (percentage) plotted y axis score x axis.  particularly useful typical mental health (MH) change/outcome measures interested someone's score lies possible population distribution scores. ECDFs complement quantiles quantile (.k.. centile, percentile, decile), score (x axis) maps percentage, 95% percentile percentile score 5% sample scored , 95% scored . function takes set scores/values plots ECDF quantiles ask confidence intervals width wanted (typically 95%, .e. .95). See help page getCIforQuantiles() learn computation confidence intervals.","code":""},{"path":"/reference/plotQuantileCIsfromDat.html","id":"history","dir":"Reference","previous_headings":"","what":"History","title":"Title Function that plots ecdf of a vector of values with quantiles marked with their CIs — plotQuantileCIsfromDat","text":"Started 30.vii.23","code":""},{"path":"/reference/plotQuantileCIsfromDat.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Title Function that plots ecdf of a vector of values with quantiles marked with their CIs — plotQuantileCIsfromDat","text":"Nyblom, J. (1992). Note interpolated order statistics. Statistics & Probability Letters, 14(2), 129–131. https://doi.org/10.1016/0167-7152(92)90076-H https://github.com/mhoehle/quantileCI","code":""},{"path":[]},{"path":"/reference/plotQuantileCIsfromDat.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Title Function that plots ecdf of a vector of values with quantiles marked with their CIs — plotQuantileCIsfromDat","text":"Chris Evans","code":""},{"path":"/reference/plotQuantileCIsfromDat.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Title Function that plots ecdf of a vector of values with quantiles marked with their CIs — plotQuantileCIsfromDat","text":"","code":"if (FALSE) { ### will need tidyverse to run library(tidyverse) ### will need quantileCI to run ### if you don't have quantileCI package you need to get it from github: # devtools::install_github(\"hoehleatsu/quantileCI\") library(quantileCI)  ### define the quantiles you want ### here I'm going for the 5th, 10th, 90th and 95% (per)centiles and the quartiles and median vecQuantiles <- c(.05, .1, .25, .5, .75, .9, .95)  ### looking at 100 scores from 1 to 100 plotQuantileCIsfromDat(vecDat = 1:100, vecQuantiles = vecQuantiles,                      method = \"N\", ci = 0.95, R = 9999, type = 8,                      titleJust = 1, # right justify the title and subtitle                      themeBW = TRUE) # use theme_bw()  ### same data plotQuantileCIsfromDat(vecDat = 1:100, vecQuantiles = vecQuantiles,                      method = \"N\", ci = 0.95, R = 9999, type = 8,                      titleJust = .5, # centre the title and subtitle                      themeBW = TRUE)  ### same data plotQuantileCIsfromDat(vecDat = 1:100, vecQuantiles = vecQuantiles,                      method = \"N\", ci = 0.95, R = 9999, type = 8,                      titleJust = .5, themeBW = FALSE,                      printPlot = FALSE, # this time don't plot from within the function call but                      ## this next argument ask the function the plot object                      returnPlot = TRUE) -> tmpPlot ### so plot it! (plot() and print() will both work, ### you can also manipulate the plot before printing) print(tmpPlot)  ### this illustrates the CIs getting tighter as the dataset size goes up plotQuantileCIsfromDat(vecDat = 1:1000, vecQuantiles = vecQuantiles,                      method = \"N\", ci = 0.95, R = 9999, type = 8)  ### and even more data, tighter CIs again plotQuantileCIsfromDat(vecDat = 1:10000, vecQuantiles = vecQuantiles,                      method = \"N\", ci = 0.95, R = 9999, type = 8)  ### now a Gaussian (\"Normal\") distribution of scores plotQuantileCIsfromDat(vecDat = rnorm(100), vecQuantiles = vecQuantiles,                      method = \"N\", ci = 0.95, R = 9999, type = 8)  ### larger dataset plotQuantileCIsfromDat(vecDat = rnorm(1000), vecQuantiles = vecQuantiles,                      method = \"N\", ci = 0.95, R = 9999, type = 8)  ### and larger again plotQuantileCIsfromDat(vecDat = rnorm(10000), vecQuantiles = vecQuantiles,                      method = \"N\", ci = 0.95, R = 9999, type = 8,                      titleJust = .5, themeBW = TRUE) }"},{"path":"/news/index.html","id":"version-0009050","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9050","title":"Version 0.0.0.9050","text":"Fixed essentially cosmetic bug plotQuantileCIsfromDat() (CI percentage plot label wrong: showed .1 !) serious bug getCIforQuantiles() always using 95% CI entered. affected things someone wanted another CI think impact zero!","code":""},{"path":"/news/index.html","id":"version-0009049","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9049","title":"Version 0.0.0.9049","text":"Added first version lookupCSCgenderAndAge(). Error checks probably fully correct warning output tests yet.","code":""},{"path":"/news/index.html","id":"version-0009048","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9048","title":"Version 0.0.0.9048","text":"Renamed plotCIcorrelation() plotCIPearson() (alias plotCIcorrelation()) allow creation plotCISpearman() soon. , tweaked code avoid irritating warning message caused changes tidyverse improve code bit. Created getCIPearson() pulling plotCIPearson().","code":""},{"path":"/news/index.html","id":"version-0009047","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9047","title":"Version 0.0.0.9047","text":"Added convertClipboardAuthorNames()","code":""},{"path":"/news/index.html","id":"version-0009046","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9046","title":"Version 0.0.0.9046","text":"Whoops, forgetting update . getCIforQuantiles improved plotQuantileCIsfromDat added full testing getCIforQuantiles testing sanity testing plotQuantileCIsfromDat. ancillary things removed github clearly aged beyond “work dates”.","code":""},{"path":"/news/index.html","id":"version-0009045","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9045","title":"Version 0.0.0.9045","text":"Improved sanity checking getCIforQuantiles, added internalUtils.R hidden functions, first one isNothing() added test-getScoreFromItems getScoreFromItems still work progress","code":""},{"path":"/news/index.html","id":"version-0009044","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9044","title":"Version 0.0.0.9044","text":"Realised test-getCIforQuantiles lost github mess, reinstated . Creating getScoreFromItems progress.","code":""},{"path":"/news/index.html","id":"version-0009043","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9043","title":"Version 0.0.0.9043","text":"Replaced class(arg) == “formula” tests inherits(arg, “formula”) functions class() test deprecated. local machine installed missing R packages covr & specr Linux command line utility qpdf (confused R package qpdf!) suppress check warnings/notes just local changes.","code":""},{"path":"/news/index.html","id":"version-0009042","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9042","title":"Version 0.0.0.9042","text":"Added getCIforQuantiles.R tests yet things need work deal changes R package building tools since last updated package (long time ago!)","code":""},{"path":"/news/index.html","id":"version-0009041","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9041","title":"Version 0.0.0.9041","text":"Just trying using “Build Source” see gets vignettes GitHub. Small tweaks Introduction vignette.","code":""},{"path":"/news/index.html","id":"version-0009040","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9040","title":"Version 0.0.0.9040","text":"Yet another commit ’ve realised run pkgdown::build_site() committing get pkgdown site rebuilt. Let’s see works!","code":""},{"path":"/news/index.html","id":"version-0009039","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9039","title":"Version 0.0.0.9039","text":"rebuild see got around rather frustrating failure Rstudio’s build rebuild vignettes resulted disappearing. Also testing see usethis::use_github_action(“pkgdown”) looked getting pkgdown site rebuilt new push, like one!","code":""},{"path":"/news/index.html","id":"version-0009038","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9038","title":"Version 0.0.0.9038","text":"Added internal functions checkIsVector() checkIsOneDim() get around (easily done) misunderstanding base::.vector(). Tweaks checkAllUnique(), classifyScoresVectorByRIC() convertVector2sentence() clean handling vectors attributes handle single dimensional lists.","code":""},{"path":"/news/index.html","id":"version-0009037","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9037","title":"Version 0.0.0.9037","text":"Merged code conduct contributors documents created GitHub (GitHub repository now issue templates). Tweak README point pkgdown website package https://cecpfuns.psyctc.org/.","code":""},{"path":"/news/index.html","id":"version-0009036","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9036","title":"Version 0.0.0.9036","text":"Used pkgdown make web site package. process checks examples tweaks examples getBootCImean, classifyScoresVectorsByRCI checkAllUnique run correctly.","code":""},{"path":"/news/index.html","id":"version-0009035","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9035","title":"Version 0.0.0.9035","text":"Improved help page getRelBySpearmanBrown linked new Rblog page https://www.psyctc.org/Rblog/posts/2021-04-09-spearman-brown-formula/. help page “History” sections renamed “History/development log” avoid confusion use “History”. Functions convertVector2sentence convert2CEdate got synonyms convertVectorToSentence convertToCEdate: congruent general naming conventions.","code":""},{"path":"/news/index.html","id":"version-0009034","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9034","title":"Version 0.0.0.9034","text":"help pages now “History” section function keep updating record.","code":""},{"path":"/news/index.html","id":"version-0009033","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9033","title":"Version 0.0.0.9033","text":"Tiny tweaks Description light rhub checking. Small improvements plotBinconf gave synonym plotCIproportion. Added plotCIcorrelation (synonym plotCIPearson).","code":""},{"path":"/news/index.html","id":"version-0009032","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9032","title":"Version 0.0.0.9032","text":"Hm. Tweaked “pak_install_extra(upgrade = FALSE)” “pak::pak_install_extra(upgrade = FALSE)”","code":""},{"path":"/news/index.html","id":"version-0009031","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9031","title":"Version 0.0.0.9031","text":"Added “pak_install_extra(upgrade = FALSE)” R-CMD-check.yaml see run perhaps solve failure R 3.5 Ubuntu. Split “Introduction” vignette “Introduction” “Background”, added basics “Bootstrapping” (CIs) vignette one RCSC framework.","code":""},{"path":"/news/index.html","id":"version-0009030","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9030","title":"Version 0.0.0.9030","text":"Minor improvements classifyScoresVectorByRCI.","code":""},{"path":"/news/index.html","id":"version-0009029","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9029","title":"Version 0.0.0.9029","text":"Added checkAllUnique()","code":""},{"path":"/news/index.html","id":"version-0009028","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9028","title":"Version 0.0.0.9028","text":"tweaks classifyScoresVectorByRCI() plotBinconf() please lintR! R-CMD-check.yaml tweaked get R 3.5.0 checked windows see error report 3.5 Ubuntu replicated. Added isOneToOne().","code":""},{"path":"/news/index.html","id":"version-0009027","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9027","title":"Version 0.0.0.9027","text":"Tweaked ./.github/workflows/R-CMD-check.yaml removing checking R < 3.5, tests added classifyScoresVectorByRCI() plotBinconf(), introductory vignette fleshed package help page now largely replaced link vignette.","code":""},{"path":"/news/index.html","id":"version-0009026","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9026","title":"Version 0.0.0.9026","text":"Corrected mistake classifyScoresVectorByRCI() help examples. Added suppressMessages plotBinconf() get rid irritating messages dplyr.","code":""},{"path":"/news/index.html","id":"version-0009025","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9025","title":"Version 0.0.0.9025","text":"Added classifyScoresVectorByRCI() plotBinconf(). still need work help tests usable.","code":""},{"path":"/news/index.html","id":"version-0009024","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9024","title":"Version 0.0.0.9024","text":"Renamed classifyRCIfromScores classifyScoresByRCI. dependency hunting.","code":""},{"path":"/news/index.html","id":"version-0009023","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9023","title":"Version 0.0.0.9023","text":"work get continuous integration testing github github actions running. Moved linting GitHub, linting code.","code":""},{"path":"/news/index.html","id":"version-0009021","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9021","title":"Version 0.0.0.9021","text":"Added classifyRCIfromScores() first seemed trivial function, really, turned huge amount work bizarrely. Added internal data directory data-raw test data hence sysdata.rda. R style improvements.","code":""},{"path":"/news/index.html","id":"version-0009020","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9020","title":"Version 0.0.0.9020","text":"skipped updating 12 changes. 9000 came ’s convention says version alpha/testing. Latest change adding classifyRCIfromScores() lot tweaking trying improve lint checking complaints.","code":""},{"path":"/news/index.html","id":"version-0008","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.8","title":"Version 0.0.0.8","text":"Added getCSC() tweaks documentation help.","code":""},{"path":"/news/index.html","id":"version-0007","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.7","title":"Version 0.0.0.7","text":"Improved documentation, building README.Rd README.Rmd just knitting Rstudio.","code":""}]
+[{"path":[]},{"path":"/CODE_OF_CONDUCT.html","id":"our-pledge","dir":"","previous_headings":"","what":"Our Pledge","title":"Contributor Covenant Code of Conduct","text":"members, contributors, leaders pledge make participation community harassment-free experience everyone, regardless age, body size, visible invisible disability, ethnicity, sex characteristics, gender identity expression, level experience, education, socio-economic status, nationality, personal appearance, race, religion, sexual identity orientation. pledge act interact ways contribute open, welcoming, diverse, inclusive, healthy community.","code":""},{"path":"/CODE_OF_CONDUCT.html","id":"our-standards","dir":"","previous_headings":"","what":"Our Standards","title":"Contributor Covenant Code of Conduct","text":"Examples behavior contributes positive environment community include: Demonstrating empathy kindness toward people respectful differing opinions, viewpoints, experiences Giving gracefully accepting constructive feedback Accepting responsibility apologizing affected mistakes, learning experience Focusing best just us individuals, overall community Examples unacceptable behavior include: use sexualized language imagery, sexual attention advances kind Trolling, insulting derogatory comments, personal political attacks Public private harassment Publishing others’ private information, physical email address, without explicit permission conduct reasonably considered inappropriate professional setting","code":""},{"path":"/CODE_OF_CONDUCT.html","id":"enforcement-responsibilities","dir":"","previous_headings":"","what":"Enforcement Responsibilities","title":"Contributor Covenant Code of Conduct","text":"Community leaders responsible clarifying enforcing standards acceptable behavior take appropriate fair corrective action response behavior deem inappropriate, threatening, offensive, harmful. Community leaders right responsibility remove, edit, reject comments, commits, code, wiki edits, issues, contributions aligned Code Conduct, communicate reasons moderation decisions appropriate.","code":""},{"path":"/CODE_OF_CONDUCT.html","id":"scope","dir":"","previous_headings":"","what":"Scope","title":"Contributor Covenant Code of Conduct","text":"Code Conduct applies within community spaces, also applies individual officially representing community public spaces. Examples representing community include using official e-mail address, posting via official social media account, acting appointed representative online offline event.","code":""},{"path":"/CODE_OF_CONDUCT.html","id":"enforcement","dir":"","previous_headings":"","what":"Enforcement","title":"Contributor Covenant Code of Conduct","text":"Instances abusive, harassing, otherwise unacceptable behavior may reported community leaders responsible enforcement https://www.psyctc.org/psyctc/contact-/. complaints reviewed investigated promptly fairly. community leaders obligated respect privacy security reporter incident.","code":""},{"path":"/CODE_OF_CONDUCT.html","id":"enforcement-guidelines","dir":"","previous_headings":"","what":"Enforcement Guidelines","title":"Contributor Covenant Code of Conduct","text":"Community leaders follow Community Impact Guidelines determining consequences action deem violation Code Conduct:","code":""},{"path":"/CODE_OF_CONDUCT.html","id":"id_1-correction","dir":"","previous_headings":"Enforcement Guidelines","what":"1. Correction","title":"Contributor Covenant Code of Conduct","text":"Community Impact: Use inappropriate language behavior deemed unprofessional unwelcome community. Consequence: private, written warning community leaders, providing clarity around nature violation explanation behavior inappropriate. public apology may requested.","code":""},{"path":"/CODE_OF_CONDUCT.html","id":"id_2-warning","dir":"","previous_headings":"Enforcement Guidelines","what":"2. Warning","title":"Contributor Covenant Code of Conduct","text":"Community Impact: violation single incident series actions. Consequence: warning consequences continued behavior. interaction people involved, including unsolicited interaction enforcing Code Conduct, specified period time. includes avoiding interactions community spaces well external channels like social media. Violating terms may lead temporary permanent ban.","code":""},{"path":"/CODE_OF_CONDUCT.html","id":"id_3-temporary-ban","dir":"","previous_headings":"Enforcement Guidelines","what":"3. Temporary Ban","title":"Contributor Covenant Code of Conduct","text":"Community Impact: serious violation community standards, including sustained inappropriate behavior. Consequence: temporary ban sort interaction public communication community specified period time. public private interaction people involved, including unsolicited interaction enforcing Code Conduct, allowed period. Violating terms may lead permanent ban.","code":""},{"path":"/CODE_OF_CONDUCT.html","id":"id_4-permanent-ban","dir":"","previous_headings":"Enforcement Guidelines","what":"4. Permanent Ban","title":"Contributor Covenant Code of Conduct","text":"Community Impact: Demonstrating pattern violation community standards, including sustained inappropriate behavior, harassment individual, aggression toward disparagement classes individuals. Consequence: permanent ban sort public interaction within community.","code":""},{"path":"/CODE_OF_CONDUCT.html","id":"attribution","dir":"","previous_headings":"","what":"Attribution","title":"Contributor Covenant Code of Conduct","text":"Code Conduct adapted Contributor Covenant, version 2.0, available https://www.contributor-covenant.org/version/2/0/code_of_conduct.html. Community Impact Guidelines inspired Mozilla’s code conduct enforcement ladder. answers common questions code conduct, see FAQ https://www.contributor-covenant.org/faq. Translations available https://www.contributor-covenant.org/translations.","code":""},{"path":"/LICENSE.html","id":null,"dir":"","previous_headings":"","what":"MIT License","title":"MIT License","text":"Copyright (c) 2021 Chris Evans Permission hereby granted, free charge, person obtaining copy software associated documentation files (“Software”), deal Software without restriction, including without limitation rights use, copy, modify, merge, publish, distribute, sublicense, /sell copies Software, permit persons Software furnished , subject following conditions: copyright notice permission notice shall included copies substantial portions Software. SOFTWARE PROVIDED “”, WITHOUT WARRANTY KIND, EXPRESS IMPLIED, INCLUDING LIMITED WARRANTIES MERCHANTABILITY, FITNESS PARTICULAR PURPOSE NONINFRINGEMENT. EVENT SHALL AUTHORS COPYRIGHT HOLDERS LIABLE CLAIM, DAMAGES LIABILITY, WHETHER ACTION CONTRACT, TORT OTHERWISE, ARISING , CONNECTION SOFTWARE USE DEALINGS SOFTWARE.","code":""},{"path":"/articles/Background.html","id":"background","dir":"Articles","previous_headings":"","what":"Background","title":"Background","text":"primary goal driving creation CECPfuns selfish: single repository functions keep date easily find latest version potentially reusable functions written. first public posting package . Two colleagues, Dr. Clara Paz Emily Blackshaw encouraged think might become something use others now much working toward aim , mind put package GitHub https://github.com/cpsyctc/CECPfuns.","code":""},{"path":"/articles/Background.html","id":"who-are-we","dir":"Articles","previous_headings":"","what":"Who are we?","title":"Background","text":"can find Clara . can find Emily PhD, supervising, ResearchGate project page. biggest research programme, overlaps Emily’s work, CORE system https://www.coresystemtrust.org.uk/ web site non-CORE work, slowly (re)building much earlier one “R blog” “SAFAQ” called pages created using R distill package pages relate book, co-authored Jo-anne Carlyle, coming autumn 2021: watch space! personal site.","code":""},{"path":"/articles/Bootstrapping.html","id":"bootstrapping-and-confidence-intervals","dir":"Articles","previous_headings":"","what":"Bootstrapping and confidence intervals","title":"Bootstrapping","text":"Since first discovered confidence intervals (CIs) back 1980s, discovered bootstrapping probably late 90s early naughties, advantages respectively traditional null hypothesis significance testing (NHST) splitting analytic methods parametric non-parametric clumsy way utterly persuasive . However, exceptions late implemented SPSS dominant statistical software used psychologists psychotherapy researchers recently. R, mainly excellent boot package offered way bring two together leant many papers probably 15 years now. However, boot::boot() always friendliest R functions coupling tidverse way things R isn’t always easy boot firmly “base R” tradition. start thinking CECPfuns package wanted pull together various bootstrap functions, often clumsy ones, make sure latest versions hand tested documented remember worked ’d done inside fairly easily. started think making CECPfuns fairly public realised function help non-statisticians relative R newcomers use bootstrapping get confidence intervals typical therapy data analyses research. moment functions package : getBootCICorr() getBootCIalpha() getBootCImean() getBootCICSC() , think, sufficient information people use help files pretty extensive trapping improbable impossible inputs hope error messages warnings protective (boot::boot() brilliant always transparently helpful try something stupid !) next months bootstrap functions sample statistics use lot added add sections vignette. Background confidence intervals (fully) happy understand ideas including simple theory relationships CIs NHST. CIs . bit distinction parametric statistical tests non-parametric tests, relate distibutions continuous variables, traditional way choosing problematical. introduction bootstrapping. don’t need get confidence interval around proportion ’s useful sample statistics aren’t simple counts. Worked examples CIs bootstrapped CIs commonly meaningful analyses therapy data.","code":""},{"path":"/articles/Introduction.html","id":"installation","dir":"Articles","previous_headings":"","what":"Installation","title":"Introduction","text":"always able install latest version package remotes::install_github(\"cpsyctc/CECPfuns\", build_vignettes = TRUE) devtools::install_github(\"cpsyctc/CECPfuns\", build_vignettes = TRUE) Clearly, make commands work need installed either massive (amazing) devtools package (install.packages(\"devtools\")) much lighter remotes package (install.packages(\"remotes\")) largely wrapper devtools functions. Please check MIT licence liability disclaimer: use functions entirely risk.","code":""},{"path":"/articles/Introduction.html","id":"how-might-you-find-this-package-useful","dir":"Articles","previous_headings":"","what":"How might you find this package useful?","title":"Introduction","text":"functions various areas needs: data cleaning/checking shaping analysis, e.g. isOneToOne(), getNOK() functions provide statistical psychometric analyses, e.g. getCSC(), getBootCImean() functions illustrate help analyses, e.g. plotBinconf() miscellaneous functions made life easier! Clara Emily found functions useful functions helped us analyses Emily’s enormous PhD papers Clara published. imagine others working mental health, well-, therapy worlds also find useful even useful universities training settings R replacing SPSS.","code":""},{"path":[]},{"path":"/articles/Introduction.html","id":"operating-system-r-version-and-r-package-requirements","dir":"Articles","previous_headings":"How will it be best to use the package?","what":"Operating system, R version and R package requirements","title":"Introduction","text":"trying make sure functions run major operating systems: Linux, Windows Mac work back R 3.5. moment think works fine permutations systems major releases R since 3.6. theory work 3.5 R-hub test machine gives error saying package tibble CECPfuns depends available though tibble package page says works R ≥ 3.1.0 something odd may may able sort . find package won’t work system R ≥ 3.5.0 contact details system errors see ’ll see can make changes fix .","code":""},{"path":"/articles/Introduction.html","id":"why-tidyverse","dir":"Articles","previous_headings":"How will it be best to use the package?","what":"Why tidyverse?","title":"Introduction","text":"last year , since time probably late 2019, using tidyverse realm within rather diverse ecosystems R, see . ’s probable sensible reading already tidyverse user want understand design decisions made. next post SAFAQ R blog piping, rowwise() also probable sensible reading says bit many functions designed can used either standalone dplyr pipes. particularly useful might want run analyses entire dataset also separately subgroups, e.g. gender, therapist. page Wisdom(!) contains, little ruefully, many things learned hard way data checking, cleaning, mangling analysing last three decades. now converges well reproducibility movement.","code":""},{"path":[]},{"path":"/articles/Introduction.html","id":"code","dir":"Articles","previous_headings":"Design choices","what":"Code","title":"Introduction","text":"code R: C, C++, FORTRAN ’re really beyond programming abilities. tried indent space code following conventions lintr::lint() likes lot space consistent indenting. also tried comment things liberally. Perhaps sometimes overdone code might sufficiently clear need comments. However, know coding good (’m essentially self-taught: week introduction FORTRAN students computing 1975). now sometimes find working long thin format datasets million rows climb functions may get run sizes data, however, work much, much smaller almost never worried speed whether large numbers break anything. put error traps bootstrapping functions think number replications might tie things long time. However, think always allowed traps overridden.","code":""},{"path":"/articles/Introduction.html","id":"messages-error-messages-and-warnings","dir":"Articles","previous_headings":"Design choices","what":"Messages, error messages and warnings","title":"Introduction","text":"tried put error messages stop functions rather warnings. Sometimes, might conceivably sensible override trap value want input function tried warn , tried give function argument allows turn error warning. put warnings rarer cases really don’t think error stopping things correct, think input might mistake. also put messages functions , think always also added “verbose =” argument set FALSE, suppress warning. put ridiculous numbers sanity checks inputs arguments, often > 10 even fairly simple functions. rationale want package fairly friendly relative newcomers R, using infrequently. done try avoid situation put something silly function passes deeper function step result error message see can hard understand won’t immediately point error. aspiration everything might meant gets trapped goes .","code":""},{"path":"/articles/Introduction.html","id":"functionnamesareverlongand-names-generally","dir":"Articles","previous_headings":"Design choices","what":"FunctionNamesAreVerlongAnd … names generally!","title":"Introduction","text":"used long names functions arguments. ’m sorry think extra typing offset reduced confusion. function names tend start verb: “classify”, “get” “plot” recurring ones. also using rather debased “camelCase” names start lower case letter upper case letters mark space lost ordinary English. However, can’t bear use getNNa “get Number NA values” ’s getNNA. Generally priviledged multiple capital letters English abbreviations strict camelCase way. tried use names inside functions start class object: vecN, valX, listNames, matCorr, tibData. However, think won’t see unless want see code inside function, can always functionName, .e. function without usual “()” end.","code":""},{"path":"/articles/Introduction.html","id":"synonyms","dir":"Articles","previous_headings":"Design choices","what":"Synonyms","title":"Introduction","text":"Occasionally created synonym function, example checkIsOneToOne() simply function isOneToOne() ask ### Code testing used excellent testthat library tried write tests functions. Every function tests sanity tests inputs/arguments give fun, function can give warnings, tested generally put test expected output sample input. However, moment testing ggplot output plotFunction() functions suspect involve reset test targets whenever ggplot() updated. tests get run every time update package run local machine also major operating systems major R releases back 3.5 (see requirements).","code":""},{"path":"/articles/Introduction.html","id":"help-pages-and-vignettes","dir":"Articles","previous_headings":"Design choices","what":"Help pages and vignettes","title":"Introduction","text":"trying make help pages far extensive many R functions tried write give basics enable run function, know arguments returns, also give lot examples use function. unusually, tried give least statistical, psychometric pragmatic background function. also planning build lot vignettes package often link number functions together give background perhaps illustrations use output. also aiming help pages, particularly vignettes link web resources, particularly (’s just narcissism: ’s also responsible keeping links working logical links shouldn’t break). moment vignettes : introduction background package (vignette(\"Background\", package = \"CECPfuns\")) information RCSC framework (vignette(\"RCSC_framework\", package = \"CECPfuns\")) information confidence intervals (CIs) bootstrapping (vignette(\"Bootstrapping\", package = \"CECPfuns\"))","code":""},{"path":"/articles/Introduction.html","id":"background","dir":"Articles","previous_headings":"","what":"Background","title":"Introduction","text":"can find background tiny team working , background, background vignette. able get .","code":"vignette(\"Background\", package = \"CECPfuns\")"},{"path":"/articles/Introduction.html","id":"to-do-list","dir":"Articles","previous_headings":"","what":"To do list!","title":"Introduction","text":"Sadly, list long certainly incomplete. sure continue develop, package hope, years! General enhancement package Improve help pages existing functions Add tests: added functions far, expansion? Complete vignettes exist add . Add data UK YP-CORE cutting points Functions Add getScore() Add getCOREOMscores() (CORE-OM) Add getCORESFAOMscores() (CORE-SF/) Add getCORESFBOMscores() (CORE-SF/B) Add classifyYPCOREScores() (YP-CORE, age gender) Add classifyScoresGeneric() Add getRCIfromItemData() Add getBootCIRCIfromScoresAndAlpha() Add getBootCIRCIfromItemData() Add getBootCIMeanDiff() Add getHedgesg() Add getCohend() (deal “-2” issue) Add getCohendPaired() Add convCohend2Hedgesg() (deal “-2”) Add countRCSCnumbers() (allow gender?) Add plotJacobsonRCSC() (ditto) Add findYourFunctions() Add getRmdFileStats() Add readCEdates() perhaps functions standard reports (fairly) standard CORE datasets (feed separate Rmd templates)","code":""},{"path":"/articles/RCSC_framework.html","id":"the-rcsc-framework","dir":"Articles","previous_headings":"","what":"The RCSC framework","title":"RCSC_framework","text":"Stuff needed!","code":""},{"path":"/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Chris Evans. Author, maintainer, copyright holder. Clara Paz. Consultant, reviewer. Emily Blackshaw. Reviewer.","code":""},{"path":"/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Evans E (????). CECPfuns: Package Utility Functions Psychological Therapies, Mental Health Well-work (Created Chris Evans Clara Paz). R package version 0.0.0.9041, https://github.com/cpsyctc/CECPfuns.","code":"@Manual{,   title = {{CECPfuns}: Package of Utility Functions for Psychological Therapies, Mental Health and Well-being work (Created by Chris Evans and Clara Paz)},   author = {Evans Evans},   note = {R package version 0.0.0.9041},   url = {https://github.com/cpsyctc/CECPfuns}, }"},{"path":"/index.html","id":"cecpfuns","dir":"","previous_headings":"","what":"Package of Utility Functions for Psychological Therapies, Mental Health and Well-being Work (Created by Chris Evans and Clara Paz)","title":"Package of Utility Functions for Psychological Therapies, Mental Health and Well-being Work (Created by Chris Evans and Clara Paz)","text":"goal driving creation CECPfuns largely selfish: make sure single, date, repository can find potentially reusable functions written. However, something much encouraged (Dr. Clara Paz)[ https://investigacion.udla.edu.ec/udla_teams/clara-paz/] contributed functions general idea package. Input also come (Emily Blackshaw)[https://www.researchgate.net/profile/Emily_Blackshaw2]. possible functions may use others now uploading GitHub https://github.com/cpsyctc/CECPfuns significant changes. also now pkgdown produced web site package https://cecpfuns.psyctc.org/.","code":""},{"path":"/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"Package of Utility Functions for Psychological Therapies, Mental Health and Well-being Work (Created by Chris Evans and Clara Paz)","text":"can install latest version CECPfuns https://github.com/cpsyctc/CECPfuns. really want make sure always latest version, can look every time launch R, see .","code":"devtools::install_github(\"cpsyctc/CECPfuns\", build_vignettes = TRUE) ### or remotes::install_github(\"cpsyctc/CECPfuns\", build_vignettes = TRUE)"},{"path":"/index.html","id":"background-information","dir":"","previous_headings":"","what":"Background information","title":"Package of Utility Functions for Psychological Therapies, Mental Health and Well-being Work (Created by Chris Evans and Clara Paz)","text":", can find Clara https://investigacion.udla.edu.ec/udla_teams/clara-paz/, can find Emily https://www.researchgate.net/profile/Emily_Blackshaw2 PhD supervising ResearchGate, biggest research programme, overlaps Emily’s work, CORE system: https://www.corestemtrust.org.uk/ web site non-CORE work slowly building (much earlier one) https://www.psyctc.org/psyctc/ personal site https://www.psyctc.org/pelerinage2016.","code":""},{"path":"/index.html","id":"licence-and-disclaimer","dir":"","previous_headings":"","what":"Licence and disclaimer","title":"Package of Utility Functions for Psychological Therapies, Mental Health and Well-being Work (Created by Chris Evans and Clara Paz)","text":"package licensed MIT licence https://opensource.org/licenses/MIT means able reuse anything find useful fee long comply terms licence. licence capitalised disclaimer: SOFTWARE PROVIDED “”, WITHOUT WARRANTY KIND, EXPRESS IMPLIED, INCLUDING LIMITED WARRANTIES MERCHANTABILITY, FITNESS PARTICULAR PURPOSE NONINFRINGEMENT. EVENT SHALL AUTHORS COPYRIGHT HOLDERS LIABLE CLAIM, DAMAGES LIABILITY, WHETHER ACTION CONTRACT, TORT OTHERWISE, ARISING , CONNECTION SOFTWARE USE DEALINGS SOFTWARE.","code":""},{"path":"/reference/CECPfuns-package.html","id":null,"dir":"Reference","previous_headings":"","what":"CECPfuns: Package of Utility Functions for Psychological Therapies, Mental Health and Well-being Work (Created by Chris Evans and Clara Paz) — CECPfuns-package","title":"CECPfuns: Package of Utility Functions for Psychological Therapies, Mental Health and Well-being Work (Created by Chris Evans and Clara Paz) — CECPfuns-package","text":"evolve repository functions (CE) Clara Paz (CP) created (far CE!) tested enough want store know can always find latest versions. Please check MIT licence disclaimer.","code":""},{"path":"/reference/CECPfuns-package.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"CECPfuns: Package of Utility Functions for Psychological Therapies, Mental Health and Well-being Work (Created by Chris Evans and Clara Paz) — CECPfuns-package","text":"Install github: remotes::install_github(\"cpsyctc/CECPfuns\") devtools::install_github(\"cpsyctc/CECPfuns\") Run: vignette(\"Introduction\", package = \"CECPfuns\") get vignette gives best introduction package jump index package's (R package, index link bottom every help page within package).","code":""},{"path":[]},{"path":"/reference/CECPfuns-package.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"CECPfuns: Package of Utility Functions for Psychological Therapies, Mental Health and Well-being Work (Created by Chris Evans and Clara Paz) — CECPfuns-package","text":"Maintainer: Chris Evans chris@psyctc.org (ORCID) [copyright holder] contributors: Clara Paz clara.paz@udla.edu.ec (ORCID) [consultant, reviewer] Emily Blackshaw blackshe@roehampton.ac.uk (ORCID) [reviewer]","code":""},{"path":"/reference/checkAllUnique.html","id":null,"dir":"Reference","previous_headings":"","what":"Function to check all values of a vector or data frame/tibble column are unique — checkAllUnique","title":"Function to check all values of a vector or data frame/tibble column are unique — checkAllUnique","text":"Function check values vector data frame/tibble column unique","code":""},{"path":"/reference/checkAllUnique.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Function to check all values of a vector or data frame/tibble column are unique — checkAllUnique","text":"","code":"checkAllUnique(   dat,   errIfNA = TRUE,   allowJustOneNA = TRUE,   allowMultipleColumns = FALSE )"},{"path":"/reference/checkAllUnique.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Function to check all values of a vector or data frame/tibble column are unique — checkAllUnique","text":"dat vector, single dimensional list columns data frame tibble test see values/rows unique errIfNA logical: defaults TRUE disallow NA values allowJustOneNA logical: defaults TRUE errIfNA FALSE one NA function returns FALSE allowMultipleColumns logical: defaults FALSE really want allow multi-column dat, set TRUE","code":""},{"path":"/reference/checkAllUnique.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Function to check all values of a vector or data frame/tibble column are unique — checkAllUnique","text":"logical: TRUE unique (see examples)","code":""},{"path":"/reference/checkAllUnique.html","id":"background","dir":"Reference","previous_headings":"","what":"Background","title":"Function to check all values of a vector or data frame/tibble column are unique — checkAllUnique","text":"utility function check values vector, single column data frame tibble, single dimensional list unique.  can also check rows multiple columns data frame tibble, unique. important expect single row data participant say, expect values participantID data set unique.  cripple things later identify duplicated ID values.  Sometimes just single variable unique, typical example data multiple services ID values participants service. may multiple values ID come different service.  (Mind , established rows unique across serviceID participantID usally paste two variables together something like   tidyverse way :   Making sure things unique also prevents sorts sometimes confusing error messages want pivot data depending ID variable whose values unique .  Checking Wisdom! Rblog page .","code":"data$superID = paste0(data$serviceID, \":\", data$participantID) data %>%          mutate(superID = str_c(serviceID, \":\", participantID))"},{"path":"/reference/checkAllUnique.html","id":"history-development-log","dir":"Reference","previous_headings":"","what":"History/development log","title":"Function to check all values of a vector or data frame/tibble column are unique — checkAllUnique","text":"Started 5.iv.21 Tweaked 11.iv.21 fix error examples.","code":""},{"path":[]},{"path":"/reference/checkAllUnique.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Function to check all values of a vector or data frame/tibble column are unique — checkAllUnique","text":"Chris Evans","code":""},{"path":"/reference/checkAllUnique.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Function to check all values of a vector or data frame/tibble column are unique — checkAllUnique","text":"","code":"if (FALSE) { ### letters gets us the 26 lower case letters of the English alphabet so should test OK checkAllUnique(letters) # [1] TRUE ### good!  ### the checking is case sensitive: checkAllUnique(c(\"A\", letters), errIfNA = FALSE, allowJustOneNA = FALSE) # [1] TRUE ### but ... checkAllUnique(c(\"a\", letters), errIfNA = FALSE, allowJustOneNA = FALSE) # [1] FALSE ### both good!  ### by default checkAllUnique doesn't allow any NA values, ### generally sensible for my data: ID codes or table indices checkAllUnique(c(letters, NA)) # [1] FALSE ### good!  ### but we can override that: checkAllUnique(c(letters, NA), errIfNA = FALSE) # [1] TRUE ### good!  ### but generally I wouldn't want multiple NA values ### in the typical situations I'd be using ### checkAllUnique() so I have forced you to allow ### that explicitly if you really want it ... checkAllUnique(c(NA, letters, NA), errIfNA = FALSE) # [1] FALSE ### good!  ### but you _can_ override that if you need to ... checkAllUnique(c(NA, letters, NA), errIfNA = FALSE, allowJustOneNA = FALSE) # [1] TRUE ### good! ### but you _can_ override that if you need to ... checkAllUnique(c(NA, letters, NA), errIfNA = FALSE, allowJustOneNA = FALSE) # [1] TRUE ### good!  ### by default checkAllUnique expects vector input but it can handle data ### in multiple columns in a data frame or tibble tmpDat <- as.data.frame(matrix(1:10, ncol = 2)) tmpDat # V1 V2 # 1  1  6 # 2  2  7 # 3  3  8 # 4  4  9 # 5  5 10 checkAllUnique(tmpDat[, 1]) # [1] TRUE checkAllUnique(tmpDat[, 2]) # [1] TRUE ### but remember column indexing a tibble returns a tibble not a vector tmpTib <- as_tibble(tmpDat) tmpTib # # A tibble: 5 x 2 # V1    V2 # <int> <int> #   1     1     6 # 2     2     7 # 3     3     8 # 4     4     9 # 5     5    10 checkAllUnique(tmpTib[, 1]) # Error in checkAllUnique(tmpTib[, 1]) : #   You have input an object of length one to checkAllUnique(): makes no sense! ### whoops, I remember, must pull() to extract as vector checkAllUnique(tmpTib %>% pull(1)) # [1] TRUE checkAllUnique(tmpTib %>% pull(2)) # [1] TRUE  ### you _can_ allow multiple columns checkAllUnique(tmpDat, allowMultipleColumns = TRUE) # [1] TRUE #   In checkAllUnique(tmpDat, allowMultipleColumns = TRUE) : #   Input of dat to checkAllUnique was not a vector: be careful please! checkAllUnique(tmpTib, allowMultipleColumns = TRUE) # [1] TRUE # Warning message: #   In checkAllUnique(tmpTib, allowMultipleColumns = TRUE) : #   Input of dat to checkAllUnique was not a vector: be careful please!  ### but it is checking all content in all columns so if two rows are the ### same it will return FALSE: tmpDat2 <- tmpDat tmpDat2[2, ] <- tmpDat[1, ] # make row 2 same as row 1 tmpDat2 # V1 V2 # 1  1  6 # 2  1  6 # 3  3  8 # 4  4  9 # 5  5 10 checkAllUnique(tmpDat2, allowMultipleColumns = TRUE) # [1] FALSE # Warning message: #   In checkAllUnique(tmpDat2, allowMultipleColumns = TRUE) : #   Input of dat to checkAllUnique was not a vector: be careful please!   ### what about columns of different classes, e.g. numeric and character cbind(tmpDat2, letters[1:5]) -> tmpDatMixed tmpDatMixed # V1 V2 letters[1:5] # 1  1  6            a # 2  1  6            b # 3  3  8            c # 4  4  9            d # 5  5 10            e checkAllUnique(tmpDatMixed, allowMultipleColumns = TRUE) # [1] TRUE # Warning message: #   In checkAllUnique(tmpDatMixed, allowMultipleColumns = TRUE) : #   Input of dat to checkAllUnique was not a vector: be careful please! ### that came out as TRUE because R \"promoted\" the numerics to character ### and because the two different letters in rows 1 and 2 of column 3 ### broke the non-unique tie of rows 1 and 2 in columns 1 and 2  ### what about having NA in a multicolumn input? tmpDatNA <- tmpDat tmpDatNA[2, 1] <- NA tmpDatNA # 1  1  6 # 2 NA  7 # 3  3  8 # 4  4  9 # 5  5 10 checkAllUnique(tmpDatNA, allowMultipleColumns = TRUE) # [1] FALSE # Warning message: #   In checkAllUnique(tmpDatNA, allowMultipleColumns = TRUE) : #   Input of dat to checkAllUnique was not a vector: be careful please! ### but checkAllUnique(tmpDatNA, allowMultipleColumns = TRUE, errIfNA = FALSE) }"},{"path":"/reference/classifyScoresVectorByRCI.html","id":null,"dir":"Reference","previous_headings":"","what":"Function to classify changes using the RCI paradigm — classifyScoresVectorByRCI","title":"Function to classify changes using the RCI paradigm — classifyScoresVectorByRCI","text":"Function classify changes using RCI paradigm","code":""},{"path":"/reference/classifyScoresVectorByRCI.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Function to classify changes using the RCI paradigm — classifyScoresVectorByRCI","text":"","code":"classifyScoresVectorByRCI(   scoreChange = NULL,   score1 = NULL,   score2 = NULL,   RCI = NULL,   cueing = \"negative\",   verbose = TRUE,   returnTable = TRUE,   dp = 1,   addCI = FALSE,   returnNumeric = FALSE,   CLsSeparate = FALSE,   conf = 0.95 )"},{"path":"/reference/classifyScoresVectorByRCI.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Function to classify changes using the RCI paradigm — classifyScoresVectorByRCI","text":"scoreChange numeric vector score changes score1 numeric vector baseline scores (giving scoreChange) score2 numeric vector final scores (giving scoreChange) RCI numeric value RCI cueing whether measure cued positively negatively verbose logical: suppresses messages FALSE returnTable logical: whether summary table returned (TRUE) tibble classified scores (FALSE) dp numeric: number decimal places percentages (returnTable TRUE) addCI logical: whether add confidence intervals around observed percentages e.g. \"69.6% 87.5%\" returnNumeric logical: whether return values numeric nicely formatted strings (default) CLsSeparate logical: returns CI two separate variables instead string conf numeric, gives width confidence interval (addCI TRUE)","code":""},{"path":"/reference/classifyScoresVectorByRCI.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Function to classify changes using the RCI paradigm — classifyScoresVectorByRCI","text":"tibble, either summary breakdown n % classification, tibble data classified change","code":""},{"path":"/reference/classifyScoresVectorByRCI.html","id":"warning","dir":"Reference","previous_headings":"","what":"Warning","title":"Function to classify changes using the RCI paradigm — classifyScoresVectorByRCI","text":"Function still development.  Currently handles vector input. modifying handle data frame tibble input sure best yet. Currently heading making separate function: classifyScoresInDataByRCI()","code":""},{"path":"/reference/classifyScoresVectorByRCI.html","id":"background","dir":"Reference","previous_headings":"","what":"Background","title":"Function to classify changes using the RCI paradigm — classifyScoresVectorByRCI","text":"RCI part Jacobson, Follette Revenstorf's \"RCSC\": Reliable Clinically Significant Change paradigm.","code":""},{"path":"/reference/classifyScoresVectorByRCI.html","id":"history-development-log","dir":"Reference","previous_headings":"","what":"History/development log","title":"Function to classify changes using the RCI paradigm — classifyScoresVectorByRCI","text":"Started 5.iv.21 Tweaked 11.iv.21 fix error examples.","code":""},{"path":[]},{"path":"/reference/classifyScoresVectorByRCI.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Function to classify changes using the RCI paradigm — classifyScoresVectorByRCI","text":"Splitting change three levels: reliable deterioration, reliable change, reliable improvement pretty trivial.  However, worked function seem grow something trivial probably save people time.  can used two main ways: return tibble scoreChange score1, score2 computed scoreChange RCI categories added (returnTable = FALSE). return tabulation categories (returnTable = TRUE). given examples aspects option 2) wthat can adjusted : using dp determine decimal places percentage breakdown (defaults 1 decimal place) using addCI = TRUE add column giving confidence interval (CI) around observed percentage perhaps ... using conf choose something default .95, .e. 95% interval ... though really think good reason ! Adding CI probably mainly useful want compare breakdown particular set data data published figure even, though hope , managerial political target. Bear mind three percentages must sum 100% independent one another three CIs therfore also independent.","code":""},{"path":"/reference/classifyScoresVectorByRCI.html","id":"technicality","dir":"Reference","previous_headings":"","what":"Technicality","title":"Function to classify changes using the RCI paradigm — classifyScoresVectorByRCI","text":"CI calculated using binconf function Frank Harrell's Hmisc package miscellaneous functions.  uses Wilson's method compute CIs.  See documentation binconf brief discussion choice references.","code":""},{"path":"/reference/classifyScoresVectorByRCI.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Function to classify changes using the RCI paradigm — classifyScoresVectorByRCI","text":"Chris Evans","code":""},{"path":"/reference/classifyScoresVectorByRCI.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Function to classify changes using the RCI paradigm — classifyScoresVectorByRCI","text":"","code":"if (FALSE) {  ### start with some very simple change values: scoreChanges <- -5:5 scoreChanges # is: #  [1] -5 -4 -3 -2 -1  0  1  2  3  4  5  ## so now apply an RCI value of 2 to that: classifyScoresVectorByRCI(scoreChange = scoreChanges, RCI = 2) ## produces: # You input 11 values for scoreChange.  There were no missing values. ## A tibble: 3 x 4 # RCIclass                   n percent valid_percent # <ord>                  <int> <chr>   <chr> #   1 Reliable deterioration     3 27.3%   27.3% #   2 No reliable change         5 45.5%   45.5% #   3 Reliable improvement       3 27.3%   27.3%  ### you could pipe that to your R/tidyverse table formatting ### tool of choice, \\code{pander}, \\code{huxtable}, whatever.  ### you can add the 95% CI: ### create some spurious scores n <- 75 score1 <- rnorm(n) # random Gaussian scores score2 <- score1 - rnorm(n, mean = .2, sd = .2) # and some random change scoreChange <- score1 - score2 # get the change  classifyScoresVectorByRCI(scoreChange, RCI = .3)  classifyScoresVectorByRCI(score1 = score1, score2 = score2, RCI = .3) }"},{"path":"/reference/convert2CEdate.html","id":null,"dir":"Reference","previous_headings":"","what":"Function to convert Dates to my date format strings — convert2CEdate","title":"Function to convert Dates to my date format strings — convert2CEdate","text":"Function convert Dates date format strings","code":""},{"path":"/reference/convert2CEdate.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Function to convert Dates to my date format strings — convert2CEdate","text":"","code":"convert2CEdate(date)  convertToCEdate(date)"},{"path":"/reference/convert2CEdate.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Function to convert Dates to my date format strings — convert2CEdate","text":"date Date","code":""},{"path":"/reference/convert2CEdate.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Function to convert Dates to my date format strings — convert2CEdate","text":"string","code":""},{"path":"/reference/convert2CEdate.html","id":"background","dir":"Reference","previous_headings":"","what":"Background","title":"Function to convert Dates to my date format strings — convert2CEdate","text":"like write dates format dd.mm.yyyy months, mm, Roman numerals, .e. = January, xii = December.  , unless someone never met Roman's weird numbering system seems always promote initial bemusement recognition never anyone say \"use Roman numerals days?\" think disambiguate dates. trivial function perhaps person ever use . expects input Date can handle vector dates.","code":""},{"path":"/reference/convert2CEdate.html","id":"history-development-log","dir":"Reference","previous_headings":"","what":"History/development log","title":"Function to convert Dates to my date format strings — convert2CEdate","text":"Started 5.iv.21 10.iv.21: tweaked add synonym convertToCEdate","code":""},{"path":[]},{"path":"/reference/convert2CEdate.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Function to convert Dates to my date format strings — convert2CEdate","text":"Chris Evans","code":""},{"path":"/reference/convert2CEdate.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Function to convert Dates to my date format strings — convert2CEdate","text":"","code":"date1 <- as.Date(\"1/1/2021\", format = \"%d/%m/%Y\") convert2CEdate(date1) #> Loading required namespace: lubridate #> [1] \"1.i.2021\" date2 <- as.Date(\"2/1/2021\", format = \"%d/%m/%Y\") dates12 <- c(date1, date2) convert2CEdate(dates12) #> [1] \"1.i.2021\" \"2.i.2021\""},{"path":"/reference/convertClipboardAuthorNames.html","id":null,"dir":"Reference","previous_headings":"","what":"Function to convert a number of 'Firstname Familyname' lines on the clipboard to 'Familyname, Firstname' — convertClipboardAuthorNames","title":"Function to convert a number of 'Firstname Familyname' lines on the clipboard to 'Familyname, Firstname' — convertClipboardAuthorNames","text":"Function convert number 'Firstname Familyname' lines clipboard 'Familyname, Firstname'","code":""},{"path":"/reference/convertClipboardAuthorNames.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Function to convert a number of 'Firstname Familyname' lines on the clipboard to 'Familyname, Firstname' — convertClipboardAuthorNames","text":"","code":"convertClipboardAuthorNames(toClipboard = TRUE, warn = TRUE)"},{"path":"/reference/convertClipboardAuthorNames.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Function to convert a number of 'Firstname Familyname' lines on the clipboard to 'Familyname, Firstname' — convertClipboardAuthorNames","text":"toClipboard logical: default TRUE sends changed names back clipboard warn logical: prints warning(s)","code":""},{"path":"/reference/convertClipboardAuthorNames.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Function to convert a number of 'Firstname Familyname' lines on the clipboard to 'Familyname, Firstname' — convertClipboardAuthorNames","text":"Character vector changed names toClipboard == FALSE","code":""},{"path":"/reference/convertClipboardAuthorNames.html","id":"background","dir":"Reference","previous_headings":"","what":"Background","title":"Function to convert a number of 'Firstname Familyname' lines on the clipboard to 'Familyname, Firstname' — convertClipboardAuthorNames","text":"tiny crude function convert number 'Firstname Familyname' lines clipboard 'Familyname, Firstname'.  wrote quite often putting records Zotero list authors 'Firstname Familyname' format thought save time first, rough, conversion 'Familyname, Firstname' Zotero suck happily. Beware, crude, default warning say, mess space separated family names like 'Matte Blanco' splitting make 'Blanco' alone family name. must also fail mix ordering feed messy challenges.  always check put clipboard.  However, find helps quite lot time. pretty well always Rstudio open CECPfuns package loaded quick easy call.  geeks say mileage may vary!\",","code":""},{"path":"/reference/convertClipboardAuthorNames.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Function to convert a number of 'Firstname Familyname' lines on the clipboard to 'Familyname, Firstname' — convertClipboardAuthorNames","text":"","code":"if (FALSE) { ### the default is that you have your data, e.g. # Ravindra Khattree # Zhidong Bai # Paula Caligiuri # Yasunori Fijikoshi # Yuehua Wu # Arni S.R. # Srinivasa Rao # Marepalli B. Rao ### (Those are from the deeply moving obituary of C.R.Ra: ###    Khattree, et al. (2023). Institute of Mathematical Statistics | ###    Obituary: C.R. Rao 1920–2023. ### https://imstat.org/2023/09/30/obituary-c-r-rao-1920-2023/)  ### You copy that into the system clipboard and in an interactive R session you run: convertClipboardAuthorNames()  ### That default will try to rearrange the names to its limited extent, print a warning to you ### and put the rearranged names back into the clipboard replacing what was there.  ### It's way away from intelligent, hence by default it gives you a warning. ### An example of things it can't handle is 'Arni, S.R.' in the above. ### That is already in the format we want so the function will mess that ### one up: always check the result after pasting it into Zotero (or wherever). ### Nevertheless I think the function now saves me time despite its lack of intelligence. ### I hope it does for you too.  ### If you are fed up with the warning you can use: convertClipboardAuthorNames(warn = FALSE)  ### I can't think why but just in case you want the result to be returned to the R prompt ### as a character vector and NOT copied back to the clipboard, use:  convertClipboardAuthorNames(toClipboard = FALSE) }"},{"path":"/reference/convertVector2sentence.html","id":null,"dir":"Reference","previous_headings":"","what":"Function that converts a vector to an English language list: e.g. 1:3 becomes 1, 2 and 3 — convertVector2sentence","title":"Function that converts a vector to an English language list: e.g. 1:3 becomes 1, 2 and 3 — convertVector2sentence","text":"Function converts vector English language list: e.g. 1:3 becomes 1, 2 3","code":""},{"path":"/reference/convertVector2sentence.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Function that converts a vector to an English language list: e.g. 1:3 becomes 1, 2 and 3 — convertVector2sentence","text":"","code":"convertVector2sentence(   x,   andChar = \" and \",   quoted = FALSE,   quoteChar = \"\\\"\",   italicY = FALSE )  convertVectorToSentence(   x,   andChar = \" and \",   quoted = FALSE,   quoteChar = \"\\\"\",   italicY = FALSE )"},{"path":"/reference/convertVector2sentence.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Function that converts a vector to an English language list: e.g. 1:3 becomes 1, 2 and 3 — convertVector2sentence","text":"x input vector one dimensional list convert andChar string put penultimate last entry quoted logical indicating whether item quoted hence quoteChar string put around item quote italicY logical items italicised","code":""},{"path":"/reference/convertVector2sentence.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Function that converts a vector to an English language list: e.g. 1:3 becomes 1, 2 and 3 — convertVector2sentence","text":"string","code":""},{"path":"/reference/convertVector2sentence.html","id":"history-development-log","dir":"Reference","previous_headings":"","what":"History/development log","title":"Function that converts a vector to an English language list: e.g. 1:3 becomes 1, 2 and 3 — convertVector2sentence","text":"Started 5.iv.21 10.iv.21: added synonym convertVectorToSentence","code":""},{"path":[]},{"path":"/reference/convertVector2sentence.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Function that converts a vector to an English language list: e.g. 1:3 becomes 1, 2 and 3 — convertVector2sentence","text":"Chris Evans","code":""},{"path":"/reference/convertVector2sentence.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Function that converts a vector to an English language list: e.g. 1:3 becomes 1, 2 and 3 — convertVector2sentence","text":"","code":"### default behaviour convertVector2sentence(1:4) #> [1] \"1, 2, 3 and 4\" ### [1] \"1, 2, 3 and 4\"  ### default behaviour convertVector2sentence(1:4, quoted = TRUE) #> [1] \"\\\"1\\\", \\\"2\\\", \\\"3\\\" and \\\"4\\\"\" ### [1] \"\\\"1\\\", \\\"2\\\", \\\"3\\\" and \\\"4\\\"\"  ### change andChar (note the spaces, ###  I can't see why you wouldn't want them but ...) convertVector2sentence(1:4, andChar = ' & ') #> [1] \"1, 2, 3 & 4\" ### [1] \"1, 2, 3 & 4\"  ### change the quoting character (note no spaces) convertVector2sentence(1:4, quoted = TRUE, quoteChar = \"'\") #> [1] \"'1', '2', '3' and '4'\" ### [1] \"'1', '2', '3' and '4'\"  convertVector2sentence(1:4, italicY = TRUE) # italicises the items #> [1] \"*1*, *2*, *3* and *4*\" ### and now italics and quotation: convertVector2sentence(1:4, italicY = TRUE, quoted = TRUE) #> [1] \"*\\\"1*\\\", \\\"*2*\\\", \\\"*3\\\"* and *\\\"4\\\"*\""},{"path":"/reference/getBootCICSC.html","id":null,"dir":"Reference","previous_headings":"","what":"Title Function designed for use in dplyr (tidyverse) piping to return CSC and bootstrap CI around that — getBootCICSC","title":"Title Function designed for use in dplyr (tidyverse) piping to return CSC and bootstrap CI around that — getBootCICSC","text":"Title Function designed use dplyr (tidyverse) piping return CSC bootstrap CI around ","code":""},{"path":"/reference/getBootCICSC.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Title Function designed for use in dplyr (tidyverse) piping to return CSC and bootstrap CI around that — getBootCICSC","text":"","code":"getBootCICSC(formula1, data, bootReps = 1000, conf = 0.95, bootCImethod = \"pe\")"},{"path":"/reference/getBootCICSC.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Title Function designed for use in dplyr (tidyverse) piping to return CSC and bootstrap CI around that — getBootCICSC","text":"formula1 formula defining two variables correlated scores ~ group data data.frame tibble data, often constructed pick() dplyr bootReps integer giving number bootstrap replications conf numeric value giving width confidence interval, e.g. .95 (default) bootCImethod string giving method derive bootstrap CI, minimum two letters 'pe', '', 'ba' 'bc' percentile, normal, basic bca","code":""},{"path":"/reference/getBootCICSC.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Title Function designed for use in dplyr (tidyverse) piping to return CSC and bootstrap CI around that — getBootCICSC","text":"list named values obsCSC, LCLCSC UCLCSC","code":""},{"path":"/reference/getBootCICSC.html","id":"background","dir":"Reference","previous_headings":"","what":"Background","title":"Title Function designed for use in dplyr (tidyverse) piping to return CSC and bootstrap CI around that — getBootCICSC","text":"general information CSC (Clinically Significant Change criterion), see getCSC","code":""},{"path":"/reference/getBootCICSC.html","id":"history-development-log","dir":"Reference","previous_headings":"","what":"History/development log","title":"Title Function designed for use in dplyr (tidyverse) piping to return CSC and bootstrap CI around that — getBootCICSC","text":"Started 5.iv.21","code":""},{"path":[]},{"path":"/reference/getBootCICSC.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Title Function designed for use in dplyr (tidyverse) piping to return CSC and bootstrap CI around that — getBootCICSC","text":"Chris Evans","code":""},{"path":"/reference/getBootCICSC.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Title Function designed for use in dplyr (tidyverse) piping to return CSC and bootstrap CI around that — getBootCICSC","text":"","code":"if (FALSE) { ### will need tidyverse to run library(tidyverse) ### create some data n <- 120 set.seed(12345) # to get replicable sample and results from the bootstrap list(scores = rnorm(n), # Gaussian random base for scores   ### now add a grouping variable: help-seeking or not   grp = sample(c(\"HS\", \"not\"), n, replace = TRUE),   ### now add gender   gender = sample(c(\"F\", \"M\"), n, replace = TRUE)) %>%   as_tibble() %>%   ### next add a gender effect nudging women's scores up by .4   mutate(scores = if_else(gender == \"F\", scores + .4, scores),   ### next add the crucial help-seeking effect of 1.1         scores = if_else(grp == \"HS\", scores + 1.1, scores)) -> tmpDat  ### have a look at that tmpDat  ### this just computes the CSC and CI(CSC) for the whole dataset tmpDat %>%   ### don't forget to prefix the call with \"list(\" to tell dplyr   ### you are creating list output   ### Also pick(everything()) has replaced the deprecated cur_data() that I used   ### earlier I see the flexibility of pick() but it's ugly when used to replace   ### the simpler cur_data() for this sort of thing.  Not my choice!   summarise(CSC = list(getBootCICSC(scores ~ grp, pick(everything())))) %>%   ### now unnest the list to columns   unnest_wider(CSC)  ### now an example of how this becomes useful: same but by grouping by gender tmpDat %>%   group_by(gender) %>%   ### remember the list output again!   summarise(CSC = list(getBootCICSC(scores ~ grp, pick(everything())))) %>%   ### remember to unnnest again!   unnest_wider(CSC) }"},{"path":"/reference/getBootCICorr.html","id":null,"dir":"Reference","previous_headings":"","what":"Function to return observed correlation between two variables with bootstrap CI — getBootCICorr","title":"Function to return observed correlation between two variables with bootstrap CI — getBootCICorr","text":"Function return observed correlation two variables bootstrap CI","code":""},{"path":"/reference/getBootCICorr.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Function to return observed correlation between two variables with bootstrap CI — getBootCICorr","text":"","code":"getBootCICorr(   formula1,   data,   method = \"p\",   bootReps = 1000,   conf = 0.95,   bootCImethod = \"pe\" )"},{"path":"/reference/getBootCICorr.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Function to return observed correlation between two variables with bootstrap CI — getBootCICorr","text":"formula1 formula defining two variables correlated var1 ~ var2 data data.frame tibble data, often subset data created group_by() pick() method string giving correlation method, can single letter 'p', 's' 'k' pearson, spearman kendall (cor()) bootReps integer giving number bootstrap replications conf numeric value giving width confidence interval, e.g. .95 (default) bootCImethod string giving method derive bootstrap CI, can two letters 'pe', '', 'ba' 'bc' percentile, normal, basic bca","code":""},{"path":"/reference/getBootCICorr.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Function to return observed correlation between two variables with bootstrap CI — getBootCICorr","text":"list named values: obsCorr, LCLCorr UCLCorr","code":""},{"path":"/reference/getBootCICorr.html","id":"history-development-log","dir":"Reference","previous_headings":"","what":"History/development log","title":"Function to return observed correlation between two variables with bootstrap CI — getBootCICorr","text":"Started 5.iv.21","code":""},{"path":[]},{"path":"/reference/getBootCICorr.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Function to return observed correlation between two variables with bootstrap CI — getBootCICorr","text":"Chris Evans","code":""},{"path":"/reference/getBootCICorr.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Function to return observed correlation between two variables with bootstrap CI — getBootCICorr","text":"","code":"if (FALSE) { library(tidyverse) ### create some data set.seed(12345) # make this replicable n <- 150 tibble(x = rnorm(n), y = rnorm(y)) %>%    ### that's got us sample x and y from population in which they're uncorrelated    ### make them correlated:    mutate(y = y + .2 * x)  -> data  data %>%    ### don't forget to prefix the call with \"list(\" to tell dplyr    ### you are creating list output    summarise(corr = list(getBootCICorr(x ~ y,              pick(everything()),              ### pick(everything()) is, to my mind, a rather verbose replacement for cur_data()              method = \"p\", # gets the Pearson correlation              bootReps = 1000,              ### \"pe\" in next line gets the percentile bootstrap CI              bootCImethod = \"pe\"))) %>%    ### now unnest the list output to separate columns    unnest_wider(corr) }"},{"path":"/reference/getBootCIalpha.html","id":null,"dir":"Reference","previous_headings":"","what":"function returning observed Cronbach alpha with bootstrap confidence interval around that value — getBootCIalpha","title":"function returning observed Cronbach alpha with bootstrap confidence interval around that value — getBootCIalpha","text":"function returning observed Cronbach alpha bootstrap confidence interval around value","code":""},{"path":"/reference/getBootCIalpha.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"function returning observed Cronbach alpha with bootstrap confidence interval around that value — getBootCIalpha","text":"","code":"getBootCIalpha(   dat,   verbose = TRUE,   na.rm = TRUE,   nLT20err = TRUE,   nGT10kerr = TRUE,   bootReps = 1000,   conf = 0.95,   bootCImethod = c(\"perc\", \"norm\", \"basic\", \"bca\") )"},{"path":"/reference/getBootCIalpha.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"function returning observed Cronbach alpha with bootstrap confidence interval around that value — getBootCIalpha","text":"dat data, matrix, data frame tibble numeric item data columns verbose logical, FALSE switches messages na.rm logical causes function throw error missing data nLT20err logical, throws error length(na.omit(dat)) < 20, otherwise returns NA CI nGT10kerr logical, throws error length(na.omit(dat)) > 10k prevent long rusn, override FALSE bootReps integer number bootstrap replications conf numeric confidence interval desired fraction, e.g. .95 bootCImethod method deriving bootstrap CI \"perc\", \"norm\", \"basic\" \"bca\"","code":""},{"path":"/reference/getBootCIalpha.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"function returning observed Cronbach alpha with bootstrap confidence interval around that value — getBootCIalpha","text":"list length 3: obsAlpha, LCLAlpha UCLAlpha","code":""},{"path":"/reference/getBootCIalpha.html","id":"history-development-log","dir":"Reference","previous_headings":"","what":"History/development log","title":"function returning observed Cronbach alpha with bootstrap confidence interval around that value — getBootCIalpha","text":"Started 5.iv.21","code":""},{"path":[]},{"path":"/reference/getBootCIalpha.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"function returning observed Cronbach alpha with bootstrap confidence interval around that value — getBootCIalpha","text":"Chris Evans","code":""},{"path":"/reference/getBootCIalpha.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"function returning observed Cronbach alpha with bootstrap confidence interval around that value — getBootCIalpha","text":"","code":"if (FALSE) { set.seed(12345) tmpMat <- matrix(rnorm(200), ncol = 10) tmpDat <- as.data.frame(tmpMat) tmpTib <- as_tibble(tmpDat)  ### all default arguments getBootCIalpha (tmpMat) }"},{"path":"/reference/getBootCIgrpMeanDiff.html","id":null,"dir":"Reference","previous_headings":"","what":"Title Function designed for use in dplyr (tidyverse) piping to return mean diff and bootstrap CI around that — getBootCIgrpMeanDiff","title":"Title Function designed for use in dplyr (tidyverse) piping to return mean diff and bootstrap CI around that — getBootCIgrpMeanDiff","text":"Title Function designed use dplyr (tidyverse) piping return mean diff bootstrap CI around ","code":""},{"path":"/reference/getBootCIgrpMeanDiff.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Title Function designed for use in dplyr (tidyverse) piping to return mean diff and bootstrap CI around that — getBootCIgrpMeanDiff","text":"","code":"getBootCIgrpMeanDiff(   formula1,   data,   bootReps = 1000,   conf = 0.95,   bootCImethod = \"pe\" )"},{"path":"/reference/getBootCIgrpMeanDiff.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Title Function designed for use in dplyr (tidyverse) piping to return mean diff and bootstrap CI around that — getBootCIgrpMeanDiff","text":"formula1 formula defining two variables correlated scores ~ group data data.frame tibble data, often subset data created group_by() pick() bootReps integer giving number bootstrap replications conf numeric value giving width confidence interval, e.g. .95 (default) bootCImethod string giving method derive bootstrap CI, minimum two letters 'pe', '', 'ba' 'bc' percentile, normal, basic bca","code":""},{"path":"/reference/getBootCIgrpMeanDiff.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Title Function designed for use in dplyr (tidyverse) piping to return mean diff and bootstrap CI around that — getBootCIgrpMeanDiff","text":"list named values obsDiff, LCLdiff UCLdiff","code":""},{"path":[]},{"path":"/reference/getBootCIgrpMeanDiff.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Title Function designed for use in dplyr (tidyverse) piping to return mean diff and bootstrap CI around that — getBootCIgrpMeanDiff","text":"","code":"if (FALSE) { ### will need tidyverse to run library(tidyverse) ### create some data ### get replicable data set.seed(12345) n <- 120 list(scores = rnorm(n), # Gaussian random base for scores   ### now add a grouping variable: help-seeking or not   grp = sample(c(\"HS\", \"not\"), n, replace = TRUE),   ### now add gender   gender = sample(c(\"F\", \"M\"), n, replace = TRUE)) %>%   as_tibble() %>%   ### next add a gender effect nudging women's scores up by .4   mutate(scores = if_else(gender == \"F\", scores + .4, scores),   ### next add the crucial help-seeking effect of 1.1         scores = if_else(grp == \"HS\", scores + 1.1, scores)) -> tmpDat # ### have a look at that tmpDat # set.seed(12345) # to get replicable results from the bootstrap tmpDat %>%   ### don't forget to prefix the call with \"list(\" to tell dplyr   ### you are creating list output   ### pick(everything()) has replaced cur_data(), verbose but more flexbible   summarise(meanDiff = list(getBootCIgrpMeanDiff(scores ~ grp, pick(everything())))) %>%   ### now unnest the list to columns   unnest_wider(meanDiff)  ### now an example of how this becomes useful: same but by gender set.seed(12345) # to get replicable results from the bootstrap tmpDat %>%   group_by(gender) %>%   ### remember the list output again!   summarise(meanDiff = list(getBootCIgrpMeanDiff(scores ~ grp, pick(everything())))) %>%   ### remember to unnnest again!   unnest_wider(meanDiff)   }"},{"path":"/reference/getBootCImean.html","id":null,"dir":"Reference","previous_headings":"","what":"Function to return bootstrap CI around observed mean — getBootCImean","title":"Function to return bootstrap CI around observed mean — getBootCImean","text":"Function return bootstrap CI around observed mean","code":""},{"path":"/reference/getBootCImean.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Function to return bootstrap CI around observed mean — getBootCImean","text":"","code":"getBootCImean(   x,   data = NULL,   bootReps = 1000,   conf = 0.95,   bootCImethod = c(\"perc\", \"norm\", \"basic\", \"bca\"),   na.rm = TRUE,   verbose = TRUE,   nLT20err = TRUE,   nGT10kerr = TRUE,   zeroSDerr = FALSE )"},{"path":"/reference/getBootCImean.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Function to return bootstrap CI around observed mean — getBootCImean","text":"x name variable data, character bare name, simply numeric vector data NULL, see examples data data frame tibble containing variable, NULL x passed directly bootReps integer number bootstrap replications conf numeric confidence interval desired fraction, e.g. .95 bootCImethod method deriving bootstrap CI \"perc\", \"norm\", \"basic\" \"bca\" na.rm logical, set FALSE ensure function fail missing data verbose logical, FALSE suppresses messages nLT20err logical, throws error length(na.omit(x)) < 20, otherwise returns NA CI nGT10kerr logical, throws error length(na.omit(x)) > 10k prevent long rusn, override FALSE zeroSDerr logical, default return NA CI sd(x) near zero zero, zeroSDerr throws error","code":""},{"path":"/reference/getBootCImean.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Function to return bootstrap CI around observed mean — getBootCImean","text":"list length 3: obsmean, LCLmean UCLmean","code":""},{"path":"/reference/getBootCImean.html","id":"comment","dir":"Reference","previous_headings":"","what":"comment","title":"Function to return bootstrap CI around observed mean — getBootCImean","text":"tried make function flexible possible two particular ways. variable compute bootstrapped CI mean can fed simple vector, named column dataframe tibble function defaults stop error might run many hours.  However, can overridden nGT10kerr = FALSE. insufficient non-missing values default stop nLT20err = FALSE overrides returns NA confidence limits. zero near zero variance function returns NA confidence limits can made error condition zeroSDerr = TRUE. function defaults (verbose = TRUE) give quite lot information messages.  can switched . width confidence interval method computing can set, can number bootstrap resamples run. almost functions CECPfuns package, getBootCImean() primarily designed use dplyr piping.","code":""},{"path":"/reference/getBootCImean.html","id":"history-development-log","dir":"Reference","previous_headings":"","what":"History/development log","title":"Function to return bootstrap CI around observed mean — getBootCImean","text":"Started 5.iv.21 Tweaked 11.iv.21 fix error examples.","code":""},{"path":[]},{"path":"/reference/getBootCImean.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Function to return bootstrap CI around observed mean — getBootCImean","text":"Chris Evans","code":""},{"path":"/reference/getBootCImean.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Function to return bootstrap CI around observed mean — getBootCImean","text":"","code":"if (FALSE) { set.seed(12345) # get replicable results library(magrittr) ### now make up some silly data n <- 50 rnorm(n) %>% # get some random Gaussian data   as_tibble() %>%   ### create a spurious grouping variable   mutate(food = sample(c(\"sausages\", \"carrots\"), n, replace = TRUE),          ### create variable with some missing data to test na.rm = FALSE          y = if_else(value < -1, NA_real_, value)) -> tmpDat  ### check that worked tmpDat ### looks fine!  ### default arguments, just supply variable getBootCImean(tmpDat$value)  ### default arguments, select variable by name as character getBootCImean(\"value\", tmpDat)  ### default arguments, select variable by name as bare name tmpDat %>%   ### pick(everything()) has replaced cur_data(): more flexible but more verbose   summarise(meanCI = list(getBootCImean(value, pick(everything())))) %>%   unnest_wider(meanCI)  ### default arguments, select variable by name as character tmpDat %>%   summarise(meanCI = list(getBootCImean(\"value\", pick(everything())))) %>%   unnest_wider(meanCI)  ### default arguments, select variable by name as bare name tmpDat %>%   summarise(meanCI = list(getBootCImean(value, pick(everything())))) %>%   unnest_wider(meanCI)  ### default arguments, get mean of value by food tmpDat %>%   group_by(food) %>%   summarise(meanCI = list(getBootCImean(value, pick(everything())))) %>%   unnest_wider(meanCI)  ### suppress messages tmpDat %>%   summarise(meanCI = list(getBootCImean(value,                                         pick(everything()),                                         verbose = FALSE))) %>%   unnest_wider(meanCI)  ### default silent omission of missing data, messages back ###  analysing variable y which has missing data ###  (see \"Usable n\") tmpDat %>%   summarise(meanCI = list(getBootCImean(y,                                         pick(everything()),                                         verbose = TRUE))) %>%   unnest_wider(meanCI)  ### use na.rm = FALSE to ensure call will fail if there are missing data tmpDat %>%   summarise(meanCI = list(getBootCImean(y,                                         pick(everything()),                                         verbose = TRUE,                                         na.rm = FALSE))) %>%   unnest_wider(meanCI)  ### change bootstrap interval tmpDat %>%   summarise(meanCI = list(getBootCImean(y,                                         pick(everything()),                                         conf = .9))) %>%   unnest_wider(meanCI)  ### change bootstrap CI method (\"perc\" is default) tmpDat %>%   summarise(meanCI = list(getBootCImean(y,                                         pick(everything()),                                         verbose = TRUE,                                         bootCImethod = \"no\"))) %>%   unnest_wider(meanCI)  ### should fail on impossible to decode choice of method in args tmpDat %>%   summarise(meanCI = list(getBootCImean(y,                                         pick(everything()),                                         verbose = TRUE,                                         bootCImethod = \"b\"))) %>%   unnest_wider(meanCI) }"},{"path":"/reference/getCIPearson.html","id":null,"dir":"Reference","previous_headings":"","what":"Function to return parametric CI around observed Pearson correlation — getCIPearson","title":"Function to return parametric CI around observed Pearson correlation — getCIPearson","text":"Function return parametric CI around observed Pearson correlation","code":""},{"path":"/reference/getCIPearson.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Function to return parametric CI around observed Pearson correlation — getCIPearson","text":"","code":"getCIPearson(r, n, ci = 0.95)"},{"path":"/reference/getCIPearson.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Function to return parametric CI around observed Pearson correlation — getCIPearson","text":"r numeric: observed correlation -1 <= r <= 1 n numeric: integer count observations data ci numeric: confidence interval required, defaults .95","code":""},{"path":"/reference/getCIPearson.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Function to return parametric CI around observed Pearson correlation — getCIPearson","text":"named vector LCL UCL","code":""},{"path":"/reference/getCIPearson.html","id":"background","dir":"Reference","previous_headings":"","what":"Background","title":"Function to return parametric CI around observed Pearson correlation — getCIPearson","text":"simple function return confidence limits confidence interval around observed Pearson correlation given number observations dataset (n) confidence interval required (ci, defaults .95).  maths go back ever. suspect first version function, written S+ R, probably drawing Altman, D. G., & Gardner, M. J. (1988). Calculating confidence intervals regression correlation. British Medical Journal, 296, 1238–1242. confidence interval based Gaussian distribution model variables raw data almost certainly better use bootstrap confidence interval provided getBootCICorr() package.  probably mainly useful read Pearson correlation value report, n derived report give CI want sense CI sense precision estimation comparing correlation others, perhaps data. function just returns named vector LCL UCL help using tidyverse pipes.  See examples. perfect observed correlations, .e. R = +1.0 -1.0 function returns c(1, 1) c(-1, -1). may feel slightly counterintuitive might expect intervals c(something, 1) c(-1, something) respectively logic added one pair values correlation longer perfect computed CI reflect (hence \"something\" !)  However, reality observed correlation really perfect way given data compute sensible lower bound (observed R = 1.0, upper bound observed R = -1).  Returning c(1, 1) perfect positive correlation c(-1, -1) perfect negative correlation sensible option line cor.teststats.","code":""},{"path":"/reference/getCIPearson.html","id":"history-development-log","dir":"Reference","previous_headings":"","what":"History/development log","title":"Function to return parametric CI around observed Pearson correlation — getCIPearson","text":"Version 1: 25.xi.23","code":""},{"path":[]},{"path":"/reference/getCIPearson.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Function to return parametric CI around observed Pearson correlation — getCIPearson","text":"Chris Evans","code":""},{"path":"/reference/getCIPearson.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Function to return parametric CI around observed Pearson correlation — getCIPearson","text":"","code":"if (FALSE) { ### this is a trivial example of the impact of sample size! getCIPearson(.7) #      LCL       UCL # 0.1258332 0.9228784 getCIPearson(.7, 100) # LCL       UCL # 0.5838581 0.7880650 getCIPearson(.7, 1000) # LCL       UCL # 0.6669493 0.7303015  ### This illustrates the handling of a perfect correlation getCIPearson(1, 10) # LCL UCL # 1   1  ### this is an example of how the function can be used in a tidyverse pipe tibble(n = rep(n, n)) %>% # column of data sizesx = rnorm(n))    ### now create some raw data of varying degrees of correlation    mutate(x = rnorm(n),    y = x + 2, # perfectly correlated    z0 = rnorm(n), # get uncorrelated y    z1 = x + 10 * rnorm(n), # create weakly correlated values    ### and now much more strongly correlated values    z2 = x + rnorm(n)) -> tmpTib tmpTib  tmpTib %>%   summarise(n = first(n), # keep n             R1 = cor(x, y), # first correlation (perfect)             R2 = cor(x, z0), # next (random)             R3 = cor(x, z1), # next (weak correlation)             ### and finally: strong correlation             R4 = cor(x, z2)) %>%   pivot_longer(cols = R1 : R4) -> tmpTib tmpTib  ### now use getCIPearson() in a dplyr/tidverse pipe tmpTib %>%   group_by(name) %>% # as we want the CIs for each of those correlations   mutate(CIPearson = list(getCIPearson(value, n))) %>% # use list() as getCIPearson retuns a vector   ### can now unnest the returned values to see them   unnest_wider(CIPearson) ### in real life groups by gender or other demographics and say correlating CORE scores ### against number of children might be sensible examples of doing this }"},{"path":"/reference/getCISpearman.html","id":null,"dir":"Reference","previous_headings":"","what":"Function offering four methods to find the CI around an observed Spearman correlation — getCISpearman","title":"Function offering four methods to find the CI around an observed Spearman correlation — getCISpearman","text":"Function offering four methods find CI around observed Spearman correlation","code":""},{"path":"/reference/getCISpearman.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Function offering four methods to find the CI around an observed Spearman correlation — getCISpearman","text":"","code":"getCISpearman(rs, n, ci = 0.95, Gaussian = FALSE, FHP = FALSE)"},{"path":"/reference/getCISpearman.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Function offering four methods to find the CI around an observed Spearman correlation — getCISpearman","text":"rs numeric: observed Spearman correlation n numeric: number (paired) values correlation ci numeric: confidence interval want, default .95, .e. 95% Gaussian logical: use Gaussian lookup CI, defaults FALSE FHP logical: use Fieller, Hartley & Pearson (1957) method, defaults FALSE","code":""},{"path":"/reference/getCISpearman.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Function offering four methods to find the CI around an observed Spearman correlation — getCISpearman","text":"named vector LCL UCL","code":""},{"path":"/reference/getCISpearman.html","id":"background","dir":"Reference","previous_headings":"","what":"Background","title":"Function offering four methods to find the CI around an observed Spearman correlation — getCISpearman","text":"simple function return confidence limits confidence interval around observed Pearson correlation given number observations dataset (n) confidence interval required (ci, defaults .95).  four methods obtained using either Bonett & White (2000) approximation SE correlation Fieller, Hartley & Pearson (1957) approximation combining either looking value Gaussian get desired CI coverage using value t distribution df = n - 2.  known none methods work well, .e. give coverage matching desired without bias, n 25 /absolute population Spearman correlation .95 use caution n < 25 observed correlation > .90. function just returns named vector LCL UCL help using tidyverse pipes.  See examples. information function Rblog Confidence interval around Spearman correlation coefficient. also shiny app using function https://shiny.psyctc.org/apps/CISpearman/","code":""},{"path":"/reference/getCISpearman.html","id":"references-acknowledgements","dir":"Reference","previous_headings":"","what":"References/acknowledgements","title":"Function offering four methods to find the CI around an observed Spearman correlation — getCISpearman","text":"started finding excellent answers onestop https://stats.stackexchange.com/users/449/onestop retodomax https://stats.stackexchange.com/users/237402/retodomax question  CrossValidated specifically calculate confidence interval Spearman's rank correlation? Also, referenced page ... Bishara, . J., & Hittner, J. B. (2017). Confidence intervals correlations data normal. Behavior Research Methods, 49(1), 294–309. https://doi.org/10.3758/s13428-016-0702-8 gives extensive simulation work covering much CIs. checked code results R code given Supplement paper.  ... Bonett, D. G., & Wright, T. . (2000). Sample size requirements estimating pearson, kendall spearman correlations. Psychometrika, 65(1), 23–28. https://doi.org/10.1007/BF02294183 classic (interesting see typesetting equations improved since 2000!) ... Ruscio, J. (2008). Constructing Confidence Intervals Spearman’s Rank Correlation Ordinal Data: Simulation Study Comparing Analytic Bootstrap Methods. Journal Modern Applied Statistical Methods, 7(2), 416–434. https://doi.org/10.22237/jmasm/1225512360 another excellent paper topic. Thanks authors.","code":""},{"path":"/reference/getCISpearman.html","id":"history-development-log","dir":"Reference","previous_headings":"","what":"History/development log","title":"Function offering four methods to find the CI around an observed Spearman correlation — getCISpearman","text":"Version 1: 27.xi.23","code":""},{"path":[]},{"path":"/reference/getCISpearman.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Function offering four methods to find the CI around an observed Spearman correlation — getCISpearman","text":"Chris Evans","code":""},{"path":"/reference/getCISpearman.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Function offering four methods to find the CI around an observed Spearman correlation — getCISpearman","text":"","code":"if (FALSE) { getCISpearman(.5, 50) # LCL       UCL # 0.2338274 0.6964523 getCISpearman(.5, 50, Gaussian = TRUE) # LCL       UCL # 0.2412245 0.6923933 getCISpearman(.5, 50, Gaussian = TRUE, FHP = TRUE) # LCL       UCL # 0.2495794 0.6877365 getCISpearman(.5, 50, Gaussian = FALSE, FHP = TRUE) # LCL       UCL # 0.2424304 0.6917259  ### imaginary correlations of CORE-OM scores against number of children by parental gender ### create a tibble of the imaginary data tribble(~pGender, ~rs, ~n,         \"M\", .12, 643,         \"F\", .57, 808) -> tibDat  ### check it tibDat  ### use it tibDat %>%   rowwise() %>%   ### need to use list() as we're getting a vector   ### using the default arguments for getCISpearman()   mutate(CISpearman = list(getCISpearman(rs, n))) %>%   ### now get the values from the vectors   unnest_wider(CISpearman) # # A tibble: 2 × 5 # pGender    rs     n    LCL   UCL # <chr>   <dbl> <dbl>  <dbl> <dbl> # 1 M        0.12   643 0.0427 0.196 # 2 F        0.57   808 0.518  0.618 ### pretty clear that the correlation for the women is very different ### from that for the men }"},{"path":"/reference/getCIforQuantiles.html","id":null,"dir":"Reference","previous_headings":"","what":"Function returns a tibble of quantiles and confidence interval of quantiles for a range of probabilities. ' — getCIforQuantiles","title":"Function returns a tibble of quantiles and confidence interval of quantiles for a range of probabilities. ' — getCIforQuantiles","text":"Function returns tibble quantiles confidence interval quantiles range probabilities. '","code":""},{"path":"/reference/getCIforQuantiles.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Function returns a tibble of quantiles and confidence interval of quantiles for a range of probabilities. ' — getCIforQuantiles","text":"","code":"getCIforQuantiles(   vecDat = NA,   vecQuantiles = NA,   method = c(\"Nyblom\", \"Exact\", \"Bootstrap\"),   ci = 0.95,   R = 9999,   type = NULL )"},{"path":"/reference/getCIforQuantiles.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Function returns a tibble of quantiles and confidence interval of quantiles for a range of probabilities. ' — getCIforQuantiles","text":"vecDat Vector data vecQuantiles Vector quantiles want method Method want use get confidence intervals ci Confidence interval (default .95) R Number bootstrap replications using bootstrap method type Type quantile (default 8)","code":""},{"path":"/reference/getCIforQuantiles.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Function returns a tibble of quantiles and confidence interval of quantiles for a range of probabilities. ' — getCIforQuantiles","text":"tibble results variables: prob: quantile required, .e. .05, .5 give median, .95 95th (per)centile n: total n nOK: number non-missing values nMiss: number missing values quantile: quantile value prob LCL: lower confidence limit quantile UCL: upper confidence limt quantile","code":""},{"path":"/reference/getCIforQuantiles.html","id":"background","dir":"Reference","previous_headings":"","what":"Background","title":"Function returns a tibble of quantiles and confidence interval of quantiles for a range of probabilities. ' — getCIforQuantiles","text":"Quantiles, like percentiles, can useful way understanding distribution, MH research, typically distribution scores, often either help-seeking sample distribution non-help-seeking sample. example, might want see score someone 95% (per)centile, .e. .95 quantile non-help-seeking sample distribution. catch , like sample statistic, quantile/percentile generally used estimate population value.  say really interested whether score 95% percentile non-help-seeking population.  means quantiles/percentiles sample approximate guides population values. usual, confidence interval (CI) around observed quantile way seeing precisely, assuming random sampling course, sample quantile can guide us population quantile. usual, catch different ways compute CI around quantile.  function wrapper around three methods Michael Höhle's quantileCI package: Nyblom method \"exact\" method bootstrap method understand quantileCI package classic paper Nyblom, generally Nyblom method good better exact method much faster bootstrapping Nyblom method default put others completeness.","code":""},{"path":"/reference/getCIforQuantiles.html","id":"history","dir":"Reference","previous_headings":"","what":"History","title":"Function returns a tibble of quantiles and confidence interval of quantiles for a range of probabilities. ' — getCIforQuantiles","text":"Started 4.vii.23","code":""},{"path":"/reference/getCIforQuantiles.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Function returns a tibble of quantiles and confidence interval of quantiles for a range of probabilities. ' — getCIforQuantiles","text":"Nyblom, J. (1992). Note interpolated order statistics. Statistics & Probability Letters, 14(2), 129–131. https://doi.org/10.1016/0167-7152(92)90076-H https://github.com/mhoehle/quantileCI","code":""},{"path":[]},{"path":"/reference/getCIforQuantiles.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Function returns a tibble of quantiles and confidence interval of quantiles for a range of probabilities. ' — getCIforQuantiles","text":"Chris Evans","code":""},{"path":"/reference/getCIforQuantiles.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Function returns a tibble of quantiles and confidence interval of quantiles for a range of probabilities. ' — getCIforQuantiles","text":"","code":"if (FALSE) { ### will need tidyverse to run library(tidyverse) ### will need quantileCI to run ### if you don't have quantileCI package you need to get it from github: # devtools::install_github(\"hoehleatsu/quantileCI\") library(quantileCI)  ### use the exact method getCIforQuantiles(1:1000, c(.1, .5, .95), \"e\", ci = .95, R = 9999, type = 8) ### use the Nyblom method getCIforQuantiles(1:1000, c(.1, .5, .95), \"n\", ci = .95, R = 9999, type = 8) ### use the bootstrap method getCIforQuantiles(1:1000, c(.1, .5, .95), \"b\", ci = .95, R = 9999, type = 8) }"},{"path":"/reference/getCSC.html","id":null,"dir":"Reference","previous_headings":"","what":"Function to return Jacobson (et al.) Clinically Significant Change (CSC) — getCSC","title":"Function to return Jacobson (et al.) Clinically Significant Change (CSC) — getCSC","text":"Fairly trivial function compute CSC, mainly useful using group_by() piping find CSCs various groups/subsets data.","code":""},{"path":"/reference/getCSC.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Function to return Jacobson (et al.) Clinically Significant Change (CSC) — getCSC","text":"","code":"getCSC(formula1, data)"},{"path":"/reference/getCSC.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Function to return Jacobson (et al.) Clinically Significant Change (CSC) — getCSC","text":"formula1 defines variables use score ~ grp score scores grp grouping data data, typically subset creatd group_by() pick(everything()) called tidyverse pipe","code":""},{"path":"/reference/getCSC.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Function to return Jacobson (et al.) Clinically Significant Change (CSC) — getCSC","text":"single numeric value CSC","code":""},{"path":"/reference/getCSC.html","id":"background","dir":"Reference","previous_headings":"","what":"Background","title":"Function to return Jacobson (et al.) Clinically Significant Change (CSC) — getCSC","text":"Like CSC, RCI comes classic paper Jacobson, Follette & Revenstorf (1984).  thrust paper trying bridge gap (quantitative) researchers , still, tend think terms aggregated data change therapy, clinicians tend think individual client's change. authors came two indices: RCI, one : CSC Clinically Significant Change (cut-). authors defined three methods set criterion \"clinical\" \"non-clinical\" scores. Generally prefer \"help-seeking\" \"non-help-seeking\" \"clinical\" \"non-clinical\" avoid automatically jumping disease/medical model. measure cued higher scores indicate problems methods follows. Method : score 2 SD mean help-seeking group. Method b: score 2 SD mean non-help-seeking group. Method c: score means two groups defined , Gaussian distributions scores, cutting point misclassify proportions group. often spoken point halfway two means definition actually subtle halfway means two groups score SD.  groups different SD formula method c . \\[\\frac{SD_{HS}*M_{notHS} + SD_{notHS}*M_{HS}}{SD_{HS}+SD_{notHS}}\\] (SD Standard Deviation (doh!) M Mean)","code":""},{"path":"/reference/getCSC.html","id":"history-development-log","dir":"Reference","previous_headings":"","what":"History/development log","title":"Function to return Jacobson (et al.) Clinically Significant Change (CSC) — getCSC","text":"Started 5.iv.21","code":""},{"path":"/reference/getCSC.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Function to return Jacobson (et al.) Clinically Significant Change (CSC) — getCSC","text":"Jacobson, N. S., Follette, W. C., & Revenstorf, D. (1984). Psychotherapy outcome research: Methods reporting variability evaluating clinical significance. Behavior Therapy, 15, 336–352. Evans, C., Margison, F., & Barkham, M. (1998). contribution reliable clinically significant change methods evidence-based mental health. Evidence Based Mental Health, 1, 70–72. https://doi.org/0.1136/ebmh.1.3.70","code":""},{"path":[]},{"path":"/reference/getCSC.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Function to return Jacobson (et al.) Clinically Significant Change (CSC) — getCSC","text":"Chris Evans","code":""},{"path":"/reference/getCSC.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Function to return Jacobson (et al.) Clinically Significant Change (CSC) — getCSC","text":"","code":"if (FALSE) { # example uses very crude simulated data but illustrates utility of being able to pipe grouped # data into getCSC() library(tidyverse) set.seed(12345) n <- 250 # total sample size scores <- rnorm(n) # get some random numbers # now random allocation to help-seeking or non-help-seeking samples grp <- sample(c(\"HS\", \"notHS\"), n, replace = TRUE) # and random allocation by gender gender <- sample(c(\"F\", \"M\"), n, replace = TRUE) list(scores = scores,     grp = grp,     gender = gender) %>%  as_tibble() %>%  mutate(scores = if_else(gender == \"F\", scores + .13, scores), # make women .13 higher scoring         ### then make help-seeking group score 1.1 higher         scores = if_else(grp == \"HS\", scores + 1.1, scores)) -> tibDat ### now get CSC overall tibDat %>%  ### pick(everything()) has replaced cur_data() in dplyr: more flexible but more verbose  summarise(CSC = getCSC(scores ~ grp, pick(everything())))  ### get CSC by gender tibDat %>%  group_by(gender) %>%  summarise(CSC = getCSC(scores ~ grp, pick(everything()))) }"},{"path":"/reference/getChronbachAlpha.html","id":null,"dir":"Reference","previous_headings":"","what":"Simple function to return Cronbach's alpha — getChronbachAlpha","title":"Simple function to return Cronbach's alpha — getChronbachAlpha","text":"Simple function return Cronbach's alpha","code":""},{"path":"/reference/getChronbachAlpha.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Simple function to return Cronbach's alpha — getChronbachAlpha","text":"","code":"getChronbachAlpha(dat, na.rm = TRUE, verbose = TRUE)"},{"path":"/reference/getChronbachAlpha.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Simple function to return Cronbach's alpha — getChronbachAlpha","text":"dat data, matrix, data frame tibble numeric item data columns na.rm logical causes function throw error missing data verbose logical, FALSE switches message n(items) number usable rows","code":""},{"path":"/reference/getChronbachAlpha.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Simple function to return Cronbach's alpha — getChronbachAlpha","text":"Cronbach numeric","code":""},{"path":"/reference/getChronbachAlpha.html","id":"background","dir":"Reference","previous_headings":"","what":"Background","title":"Simple function to return Cronbach's alpha — getChronbachAlpha","text":"simple function fair bit sanity checking input returns Cronbach's alpha first described comprehensively classic paper Cronbach (1951).  extensive literature criticising alpha index internal consistency/reliability often, reading, failing note Cronbach's original paper quite clear issues.  Alpha measure unidimensionality measure shared covariance strong arguments best indicator internal reliability marked differences variance items. various arguments led many recommend McDonald's omega better measure alpha. Perhaps partly canonical reference McDonald's omega book (McDonald, 1999) paper, literature , mind , bit complicated.  good coverage help omega() Revelle's package psych omega. Despite complexities alpha remains reported statistic internal relability multi-item measures good reasons: simple, robust never claimed things !","code":""},{"path":"/reference/getChronbachAlpha.html","id":"history-development-log","dir":"Reference","previous_headings":"","what":"History/development log","title":"Simple function to return Cronbach's alpha — getChronbachAlpha","text":"Started 5.iv.21","code":""},{"path":"/reference/getChronbachAlpha.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Simple function to return Cronbach's alpha — getChronbachAlpha","text":"Cronbach, L. J. (1951). Coefficient alpha internal structure tests. Psychometrika, 16(3), 297–334. McDonald R. P. (1999) Test Theory: Unified Treatment. Mahwah, NJ: Erlbaum","code":""},{"path":[]},{"path":"/reference/getChronbachAlpha.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Simple function to return Cronbach's alpha — getChronbachAlpha","text":"Chris Evans","code":""},{"path":"/reference/getChronbachAlpha.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Simple function to return Cronbach's alpha — getChronbachAlpha","text":"","code":"if (FALSE) { ### make some nonsense data tmpMat <- matrix(rnorm(200), ncol = 10) ### default call getChronbachAlpha(tmpMat) ### switch off message with dimensions of non-missing data getChronbachAlpha(tmpMat, verbose = FALSE) }"},{"path":"/reference/getICCfromMLM.html","id":null,"dir":"Reference","previous_headings":"","what":"Get ICC for levels in multilevel models — getICCfromMLM","title":"Get ICC for levels in multilevel models — getICCfromMLM","text":"Get ICC levels multilevel models","code":""},{"path":"/reference/getICCfromMLM.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Get ICC for levels in multilevel models — getICCfromMLM","text":"","code":"getICCfromMLM(modelOutput, percent = TRUE)"},{"path":"/reference/getICCfromMLM.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Get ICC for levels in multilevel models — getICCfromMLM","text":"modelOutput output nlme::lme(), lme4::lmer() lmerTest::lmer() percent logical determining whether output percentage variance well ICC","code":""},{"path":"/reference/getICCfromMLM.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Get ICC for levels in multilevel models — getICCfromMLM","text":"tibble containing ICCs level MLM model output , percent == TRUE, percentages variance ","code":""},{"path":"/reference/getICCfromMLM.html","id":"background","dir":"Reference","previous_headings":"","what":"Background","title":"Get ICC for levels in multilevel models — getICCfromMLM","text":"6.iii.21: use nlme::lme().  works lme4::lmer() lmerTest::lmer() sort issues results nlme::lme() differing lme4::lmer() ICC gives proportion variance dependent variable Multi-Level Models (MLMs).  field multilevel models typically levels measurements points individual participants participants can nested within therapist, service, organisation perhaps area.  Crucially MLM handles non-independence observations within \"level\".  Typically, , may fixed predictors participants value, e.g. gender, age, social deprivation, previous therapy.  Apart handling non-independence observations Standard Errors estimates, (sometimes, lme4::lmer()) p-values robust non-independence, huge power MLMs can random effects, instead assuming participants starting score measure can allowed different starting scores MLM algorithm estimate.  Perhaps even importantly, can fit model assumed every participant's score change rate slope score time can another random variable. ICCs important multiple levels model help decide much variance shared within level.  good way think ICC, described help specr::icc_specs() help ICC mean correlation across possible pairs scores dependent variable within level.  Typically, fitting MLMs therapy change score trajectories participant level much higher ICC , say, service level.  However, may clear similarity participants within services non-trivial ICC service level. specr::icc_specs() function, leant heavily writing function, works MLM output lme4::lmer() function adds really handles output nlme::lme() actually structures output substantially differently lme4::lmer().","code":""},{"path":"/reference/getICCfromMLM.html","id":"cautionary-note","dir":"Reference","previous_headings":"","what":"Cautionary note","title":"Get ICC for levels in multilevel models — getICCfromMLM","text":"really expert area think quite varied views ICCs multiple fixed predictors mean, even varied views even whether ICCs can meaningful MLMs random predictors function designed intercept MLMs, .e. fixed predictors random predictors.  typical therapy change data think probably need: tells us partitioning scores within participants within whatever levels : therapists, services etc. cursory testing function gives results specr::icc_specs() two level three level MLMs lme4::lmer() results data put analysis using models nlme::lme().  ever, warranty function!","code":""},{"path":"/reference/getICCfromMLM.html","id":"history-development-log","dir":"Reference","previous_headings":"","what":"History/development log","title":"Get ICC for levels in multilevel models — getICCfromMLM","text":"Started 5.iv.21","code":""},{"path":"/reference/getICCfromMLM.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Get ICC for levels in multilevel models — getICCfromMLM","text":"Chris Evans","code":""},{"path":"/reference/getICCfromMLM.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Get ICC for levels in multilevel models — getICCfromMLM","text":"","code":"if (FALSE) { getICCfromMLM(model2nlmer) getICCfromMLM(model2lme4) ### check against specr::icc_specs() specr::icc_specs(model2lme4) }"},{"path":"/reference/getNNA.html","id":null,"dir":"Reference","previous_headings":"","what":"Trivial function to count number of NA values in input — getNNA","title":"Trivial function to count number of NA values in input — getNNA","text":"Trivial function count number NA values input","code":""},{"path":"/reference/getNNA.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Trivial function to count number of NA values in input — getNNA","text":"","code":"getNNA(x)"},{"path":"/reference/getNNA.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Trivial function to count number of NA values in input — getNNA","text":"x vector containing values check NAs","code":""},{"path":"/reference/getNNA.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Trivial function to count number of NA values in input — getNNA","text":"numeric: number NA values ","code":""},{"path":"/reference/getNNA.html","id":"history-development-log","dir":"Reference","previous_headings":"","what":"History/development log","title":"Trivial function to count number of NA values in input — getNNA","text":"Started 5.iv.21","code":""},{"path":[]},{"path":"/reference/getNNA.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Trivial function to count number of NA values in input — getNNA","text":"Chris Evans","code":""},{"path":"/reference/getNNA.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Trivial function to count number of NA values in input — getNNA","text":"","code":"getNNA(c(1:5, NA, 7:10)) #> [1] 1 getNNA(c(1:5, NA, 7:10)) #> [1] 1"},{"path":"/reference/getNOK.html","id":null,"dir":"Reference","previous_headings":"","what":"Trivial function to count number of non-NA values in input — getNOK","title":"Trivial function to count number of non-NA values in input — getNOK","text":"Trivial function count number non-NA values input","code":""},{"path":"/reference/getNOK.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Trivial function to count number of non-NA values in input — getNOK","text":"","code":"getNOK(x)"},{"path":"/reference/getNOK.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Trivial function to count number of non-NA values in input — getNOK","text":"x vector values","code":""},{"path":"/reference/getNOK.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Trivial function to count number of non-NA values in input — getNOK","text":"numeric: number non-NA values x","code":""},{"path":"/reference/getNOK.html","id":"history-development-log","dir":"Reference","previous_headings":"","what":"History/development log","title":"Trivial function to count number of non-NA values in input — getNOK","text":"Started 5.iv.21","code":""},{"path":[]},{"path":"/reference/getNOK.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Trivial function to count number of non-NA values in input — getNOK","text":"Chris Evans","code":""},{"path":"/reference/getNOK.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Trivial function to count number of non-NA values in input — getNOK","text":"","code":"getNOK(c(1:5, NA, 7:10)) #> [1] 9"},{"path":"/reference/getRCIfromSDandAlpha.html","id":null,"dir":"Reference","previous_headings":"","what":"Function returns RCI given baseline score SD, reliability and confidence sought — getRCIfromSDandAlpha","title":"Function returns RCI given baseline score SD, reliability and confidence sought — getRCIfromSDandAlpha","text":"Function returns RCI given baseline score SD, reliability confidence sought","code":""},{"path":"/reference/getRCIfromSDandAlpha.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Function returns RCI given baseline score SD, reliability and confidence sought — getRCIfromSDandAlpha","text":"","code":"getRCIfromSDandAlpha(SD, rel, conf = 0.95)"},{"path":"/reference/getRCIfromSDandAlpha.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Function returns RCI given baseline score SD, reliability and confidence sought — getRCIfromSDandAlpha","text":"SD single number giving baseline score standard deviation rel reliability measure, typically, sensibly, Cronbach's alpha conf expectation/confidence interval, almost always .95","code":""},{"path":"/reference/getRCIfromSDandAlpha.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Function returns RCI given baseline score SD, reliability and confidence sought — getRCIfromSDandAlpha","text":"single number giving RCI","code":""},{"path":"/reference/getRCIfromSDandAlpha.html","id":"background","dir":"Reference","previous_headings":"","what":"Background","title":"Function returns RCI given baseline score SD, reliability and confidence sought — getRCIfromSDandAlpha","text":"Like CSC, RCI comes classic paper Jacobson, Follette & Revenstorf (1984).  thrust paper trying bridge gap (quantitative) researchers , still, tend think terms aggregated data change therapy, clinicians tend think individual client's change. authors came two indices: CSC, one : RCI Reliable Change Index. \\[RCI = \\varphi(conf)\\! \\times\\! \\sqrt{2}\\! \\times SD\\times\\sqrt{1 - rel}\\] SD Standard Deviation (doh!) baseline/t1, \\(\\varphi(conf)\\) value Gaussian distribution conf coverage conf, usually .95 hence \\(\\varphi(conf)\\) = 1.96 rel reliability measures, usually Cronbach's alpha. logic bit: \\[\\sqrt{2}\\! \\times SD\\times\\sqrt{1 - rel}\\] standard error (SE) difference two scores Classical Test Theory (CTT)  fact 1984 paper omitted \\(\\sqrt(2)\\) term corrected subsequent letter Christensen & Menoza (1986).  accept model CTT distributions Gaussian multiplying SE \\(\\varphi(conf)\\) gives range scores include proportion conf change arise unreliability measurement alone. widespread misunderstanding RCI generic benchmark, fact coverage expectation based SD baseline scores calculation done sample.  Computing RCI dataset allows designate change \"reliable improvement\", \"reliable deterioration\" \"reliable change\". perhaps useful three particular sets clients: high starting scores might improvement enough drop CSC criterion, achieving \"clinically significant change\", able see improve expected unreliability measurement alone started just CSC crossed CSC whose change falls \"reliable change\" range started CSC course therefore show clinically significant change may still show reliable improvement. also issue Jacobson colleagues looking criteria categorise individual change, sadly, often RCSC paradigm seems become just another way aggregate scores counting.","code":""},{"path":"/reference/getRCIfromSDandAlpha.html","id":"history","dir":"Reference","previous_headings":"","what":"History","title":"Function returns RCI given baseline score SD, reliability and confidence sought — getRCIfromSDandAlpha","text":"Started 5.iv.21","code":""},{"path":"/reference/getRCIfromSDandAlpha.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Function returns RCI given baseline score SD, reliability and confidence sought — getRCIfromSDandAlpha","text":"Christensen, L., & Mendoza, J. L. (1986). method assessing change single subject: alteration RC index. Behavior Therapy, 17, 305–308. Jacobson, N. S., Follette, W. C., & Revenstorf, D. (1984). Psychotherapy outcome research: Methods reporting variability evaluating clinical significance. Behavior Therapy, 15, 336–352. Jacobson, N. S., & Truax, P. (1991). Clinical significance: statistical approach defining meaningful change psychotherapy research. Journal Consulting Clinical Psychology, 59(1), 12–19. Evans, C., Margison, F., & Barkham, M. (1998). contribution reliable clinically significant change methods evidence-based mental health. Evidence Based Mental Health, 1, 70–72. https://doi.org/0.1136/ebmh.1.3.70","code":""},{"path":[]},{"path":"/reference/getRCIfromSDandAlpha.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Function returns RCI given baseline score SD, reliability and confidence sought — getRCIfromSDandAlpha","text":"Chris Evans","code":""},{"path":"/reference/getRCIfromSDandAlpha.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Function returns RCI given baseline score SD, reliability and confidence sought — getRCIfromSDandAlpha","text":"","code":"if (FALSE) {  getRCIfromSDandAlpha(7.5, .8, conf = 0.95) # from Jacobson & Truax (1991) }"},{"path":"/reference/getRelBySpearmanBrown.html","id":null,"dir":"Reference","previous_headings":"","what":"Function using the Spearman-Brown formula to predict reliability for new length or get length for desired reliability — getRelBySpearmanBrown","title":"Function using the Spearman-Brown formula to predict reliability for new length or get length for desired reliability — getRelBySpearmanBrown","text":"Function using Spearman-Brown formula predict reliability new length get length desired reliability","code":""},{"path":"/reference/getRelBySpearmanBrown.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Function using the Spearman-Brown formula to predict reliability for new length or get length for desired reliability — getRelBySpearmanBrown","text":"","code":"getRelBySpearmanBrown(   oldRel,   lengthRatio = NULL,   newRel = NULL,   verbose = TRUE )"},{"path":"/reference/getRelBySpearmanBrown.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Function using the Spearman-Brown formula to predict reliability for new length or get length for desired reliability — getRelBySpearmanBrown","text":"oldRel numeric: reliability lengthRatio numeric: ratio new length old length newRel numeric: desired reliability verbose logical: whether give messages explaining function","code":""},{"path":"/reference/getRelBySpearmanBrown.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Function using the Spearman-Brown formula to predict reliability for new length or get length for desired reliability — getRelBySpearmanBrown","text":"numeric: either predicted reliability desired length ratio (whichever input NULL)","code":""},{"path":"/reference/getRelBySpearmanBrown.html","id":"background","dir":"Reference","previous_headings":"","what":"background","title":"Function using the Spearman-Brown formula to predict reliability for new length or get length for desired reliability — getRelBySpearmanBrown","text":"ancient psychometrics still use.  checked two functions psychometric package gratitude.  information, see: https://www.psyctc.org/Rblog/posts/2021-04-09-spearman-brown-formula/ formula simple: \\[{\\rho^{*}}=\\frac{n\\rho}{1 + (n-1)\\rho}\\] short summary multi-item measure overall internal reliability/consistency function mean inter-item correlations number items , mean inter-item correlation, longer measure higher reliability.  formula relationship published separately Spearman 1910 year Brown, working Karl Pearson, running feud Spearman.  See: https://en.wikipedia.org/wiki/Spearman%E2%80%93Brown_prediction_formula#History also gives arguments formula really termed Brown-Spearman formula bowing historical precedent .","code":""},{"path":"/reference/getRelBySpearmanBrown.html","id":"related-resources","dir":"Reference","previous_headings":"","what":"related_resources","title":"Function using the Spearman-Brown formula to predict reliability for new length or get length for desired reliability — getRelBySpearmanBrown","text":"OMbook glossary: entry . Rblog: entry . online shiny apps: app uses function give predicted reliabilities given length existing measure internal reliability .","code":""},{"path":"/reference/getRelBySpearmanBrown.html","id":"history-development-log","dir":"Reference","previous_headings":"","what":"History/development log","title":"Function using the Spearman-Brown formula to predict reliability for new length or get length for desired reliability — getRelBySpearmanBrown","text":"Started 5.iv.21, updated help page 10.iv.21.","code":""},{"path":"/reference/getRelBySpearmanBrown.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Function using the Spearman-Brown formula to predict reliability for new length or get length for desired reliability — getRelBySpearmanBrown","text":"Chris Evans","code":""},{"path":"/reference/getRelBySpearmanBrown.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Function using the Spearman-Brown formula to predict reliability for new length or get length for desired reliability — getRelBySpearmanBrown","text":"","code":"if (FALSE) { ### if you had a reliability of .8 from a measure of, say 10, items, ###   what reliability might you expect from one of 34 items? getRelBySpearmanBrown(.8, 3.4)  ### if you had a reliability of .7 from 10 items how much lower ###  would you expect the reliability to be from a measure of only 5 items? ### from examples for psychometric::SBrel() with respect and gratitude! getRelBySpearmanBrown(.7, .5, verbose = FALSE)  ### if you have a reliability of .7, how much longer a measure do you expect ###    to need for a reliability of .9? ###    again with acknowledgement to psychometric::SBlength() with respect and gratitude! getRelBySpearmanBrown(.7, lengthRatio = NULL, .9) }"},{"path":"/reference/getScoreFromItems.html","id":null,"dir":"Reference","previous_headings":"","what":"Title Function to convert a vector of item responses to a scale/measure score — getScoreFromItems","title":"Title Function to convert a vector of item responses to a scale/measure score — getScoreFromItems","text":"Title Function convert vector item responses scale/measure score","code":""},{"path":"/reference/getScoreFromItems.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Title Function to convert a vector of item responses to a scale/measure score — getScoreFromItems","text":"","code":"getScoreFromItems(   vec,   scoreAsMean = TRUE,   propProrateMin = NULL,   nProrateMin = NULL,   k = NULL,   checkItemScores = FALSE,   minItemScore = NULL,   maxItemScore = NULL )"},{"path":"/reference/getScoreFromItems.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Title Function to convert a vector of item responses to a scale/measure score — getScoreFromItems","text":"vec item responses/scores scoreAsMean Score mean item scores (opposed total/sum score) propProrateMin Minimum proportion missing item responses allows prorating nProrateMin Minimum number missing item responses allows prorating k Optional check number items checkItemScores logical, .e. TRUE FALSE, says whether check item scores minItemScore minimum allowed item score maxItemScore maximum allowed item score","code":""},{"path":"/reference/getScoreFromItems.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Title Function to convert a vector of item responses to a scale/measure score — getScoreFromItems","text":"required score","code":""},{"path":"/reference/getScoreFromItems.html","id":"background","dir":"Reference","previous_headings":"","what":"Background","title":"Title Function to convert a vector of item responses to a scale/measure score — getScoreFromItems","text":"simple function designed used tidyverse dplyr function get single score set items apply prorating rule (may prorating allowed) returns mean item scores mean scores.  put kept writing new functions every time needed one!  usefully, built prorating perhaps usefully , built sanity checks inputs item scores.","code":""},{"path":[]},{"path":"/reference/hyphenateWords.html","id":null,"dir":"Reference","previous_headings":"","what":"Function to convert numbers to hyphenated (English) words, e.g. 87 to ","title":"Function to convert numbers to hyphenated (English) words, e.g. 87 to ","text":"Function convert numbers hyphenated (English) words, e.g. 87 \"eighty-seven\"","code":""},{"path":"/reference/hyphenateWords.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Function to convert numbers to hyphenated (English) words, e.g. 87 to ","text":"","code":"hyphenateWords(x, capitalise = FALSE)"},{"path":"/reference/hyphenateWords.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Function to convert numbers to hyphenated (English) words, e.g. 87 to ","text":"x numeric capitalise logical","code":""},{"path":"/reference/hyphenateWords.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Function to convert numbers to hyphenated (English) words, e.g. 87 to ","text":"character","code":""},{"path":"/reference/hyphenateWords.html","id":"history-development-log","dir":"Reference","previous_headings":"","what":"History/development log","title":"Function to convert numbers to hyphenated (English) words, e.g. 87 to ","text":"Started 5.iv.21","code":""},{"path":[]},{"path":"/reference/hyphenateWords.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Function to convert numbers to hyphenated (English) words, e.g. 87 to ","text":"Chris Evans","code":""},{"path":"/reference/hyphenateWords.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Function to convert numbers to hyphenated (English) words, e.g. 87 to ","text":"","code":"hyphenateWords(87) #> Loading required namespace: english #> [1] \"eighty-seven\" hyphenateWords(87, capitalise = TRUE) #> [1] \"Eighty-seven\""},{"path":"/reference/isNothing.html","id":null,"dir":"Reference","previous_headings":"","what":"Title Tests for NULL, NA or NAN — isNothing","title":"Title Tests for NULL, NA or NAN — isNothing","text":"Title Tests NULL, NA NAN","code":""},{"path":"/reference/isNothing.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Title Tests for NULL, NA or NAN — isNothing","text":"","code":"isNothing(x)"},{"path":"/reference/isNothing.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Title Tests for NULL, NA or NAN — isNothing","text":"x input test","code":""},{"path":"/reference/isNothing.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Title Tests for NULL, NA or NAN — isNothing","text":"logical TRUE x NULL, NA NAN","code":""},{"path":"/reference/isNothing.html","id":"background","dir":"Reference","previous_headings":"","what":"Background","title":"Title Tests for NULL, NA or NAN — isNothing","text":"https://stackoverflow.com/questions/19655579/-function--returns-true--na-null-nan--r function contributed https://stackoverflow.com/users/2275286/hbat","code":""},{"path":"/reference/isOneToOne.html","id":null,"dir":"Reference","previous_headings":"","what":"Data checking function to check if the contents of two variables have a 1:1 mapping — isOneToOne","title":"Data checking function to check if the contents of two variables have a 1:1 mapping — isOneToOne","text":"Data checking function check contents two variables 1:1 mapping","code":""},{"path":"/reference/isOneToOne.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Data checking function to check if the contents of two variables have a 1:1 mapping — isOneToOne","text":"","code":"isOneToOne(x, y)  checkIsOneToOne(x, y)"},{"path":"/reference/isOneToOne.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Data checking function to check if the contents of two variables have a 1:1 mapping — isOneToOne","text":"x first variable y second variable","code":""},{"path":"/reference/isOneToOne.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Data checking function to check if the contents of two variables have a 1:1 mapping — isOneToOne","text":"logical: TRUE 1:1 mapping, FALSE otherwise","code":""},{"path":"/reference/isOneToOne.html","id":"background","dir":"Reference","previous_headings":"","what":"Background","title":"Data checking function to check if the contents of two variables have a 1:1 mapping — isOneToOne","text":"little utility function use time time want check whether two variables one one mapping .  Typically one short code say variable x, , say variable y. two vectors, one short codes, x, one longer, y, perfect 1:1 mapping, value x must number mapped value y.  example:","code":""},{"path":"/reference/isOneToOne.html","id":"acknowledgements","dir":"Reference","previous_headings":"","what":"Acknowledgements","title":"Data checking function to check if the contents of two variables have a 1:1 mapping — isOneToOne","text":"found nice way https://stackoverflow.com/questions/52399474/check--variables----one--one-mapping","code":""},{"path":"/reference/isOneToOne.html","id":"history-development-log","dir":"Reference","previous_headings":"","what":"History/development log","title":"Data checking function to check if the contents of two variables have a 1:1 mapping — isOneToOne","text":"Started 5.iv.21","code":""},{"path":[]},{"path":"/reference/isOneToOne.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Data checking function to check if the contents of two variables have a 1:1 mapping — isOneToOne","text":"Chris Evans","code":""},{"path":"/reference/isOneToOne.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Data checking function to check if the contents of two variables have a 1:1 mapping — isOneToOne","text":"","code":"if (FALSE) { ### this should map OK isOneToOne(1:5,letters[1:5]) ### 1:1 doesn't actually mean just one of each, ### just that the mapping is 1:1! isOneToOne(rep(1:5, 2), rep(letters[1:5], 2)) ### should throw an error as unequal length isOneToOne(1:26, letters[1:25]) ### but this is OK isOneToOne(1:26, c(\"1\", letters[1:25])) ### but this is not as it's no longer 1:1 isOneToOne(c(1, 1:26), c(\"1\", letters[1:25], \"1\")) ### same the other way around (essentially) isOneToOne(1:26,c(\"a\",letters[1:25])) }"},{"path":"/reference/lookupCSCgenderAndAge.html","id":null,"dir":"Reference","previous_headings":"","what":"Function using gender and age in input file, with a lookup, to get appropriate CSC values — lookupCSCgenderAndAge","title":"Function using gender and age in input file, with a lookup, to get appropriate CSC values — lookupCSCgenderAndAge","text":"Function using gender age input file, lookup, get appropriate CSC values","code":""},{"path":"/reference/lookupCSCgenderAndAge.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Function using gender and age in input file, with a lookup, to get appropriate CSC values — lookupCSCgenderAndAge","text":"","code":"lookupCSCgenderAndAge(   useInternalLookup = TRUE,   lookupTableName = NULL,   lookupGenderVarChar,   lookupAgeVarChar,   lookupCSCvarChar = \"CSC\",   lookupGenderF,   lookupGenderM,   lookupGenderO,   checkInternalLookup = FALSE,   checkExternalLookup = TRUE,   dataTableName,   dataGenderVarChar,   dataAgeVarChar,   dataGenderF,   dataGenderM,   dataGenderO,   dataGenderNA = NA_character_,   dataAgeNA = NA_real_,   outputCSCvarChar = \"CSC\",   lookupRef = \"Emily_PhD\",   useClinScoring = FALSE,   checkData = TRUE,   overwriteExistingVariable = FALSE,   showInternalLookup = FALSE )"},{"path":"/reference/lookupCSCgenderAndAge.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Function using gender and age in input file, with a lookup, to get appropriate CSC values — lookupCSCgenderAndAge","text":"useInternalLookup logical: whether use internal lookup table, defaults TRUE lookupTableName character: name lookup file use using internal table lookupGenderVarChar character: name gender variable lookup file lookupAgeVarChar character: name age variable lookup file lookupCSCvarChar character: name CSC variable lookup file lookupGenderF character: value representing female gender lookup file lookupGenderM character: value representing male gender lookup file lookupGenderO character: value representing gender lookup file checkInternalLookup logical: whether print check internal lookup checkExternalLookup logical: whether print check external lookup dataTableName character: name data file use dataGenderVarChar character: value representing female gender data file dataAgeVarChar character: name gender variable data file dataGenderF value representing female gender data file dataGenderM value representing male gender data file dataGenderO value representing gender data file dataGenderNA vector values (one ) representing missing gender values datafile dataAgeNA vector values (one ) representing missing age values data outputCSCvarChar character: name output CSC variable, defaults \"CSC\", lookupRef character: internal referential lookup data use useClinScoring logical: whether use item mean scoring \"clinical\" scoring checkData logical: whether check issues data overwriteExistingVariable logical: TRUE allows overwriting existing variable, default FALSE showInternalLookup logical: TRUE shows internal lookup table selected","code":""},{"path":"/reference/lookupCSCgenderAndAge.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Function using gender and age in input file, with a lookup, to get appropriate CSC values — lookupCSCgenderAndAge","text":"tibble containing input data added variable naming lookup used CSC values","code":""},{"path":"/reference/lookupCSCgenderAndAge.html","id":"background","dir":"Reference","previous_headings":"","what":"Background","title":"Function using gender and age in input file, with a lookup, to get appropriate CSC values — lookupCSCgenderAndAge","text":"One challenge YP-CORE, many measures, appropriate CSC (Clinically Significant Change) value use ages genders.  function takes new data gender age variable returns new tibble data plus CSC gender age given.  three lookup tables built function also allows submit lookup table.  Currently, lookup expected CSV (comma separated variable) file.  improve allow tibble perhaps formats.","code":""},{"path":"/reference/lookupCSCgenderAndAge.html","id":"references-acknowledgements","dir":"Reference","previous_headings":"","what":"References/acknowledgements","title":"Function using gender and age in input file, with a lookup, to get appropriate CSC values — lookupCSCgenderAndAge","text":"default internal lookup recent UK referential data Emily Blackshaw's PhD.  now, see https://www.coresystemtrust.org.uk/home/instruments/yp-core-information/ next UK lookup Twigg, E., Cooper, M., Evans, C., Freire, E. S., Mellor-Clark, J., McInnes, B., & Barkham, M. (2016). Acceptability, reliability, referential distributions, sensitivity change YP-CORE outcome measure: Replication refinement. Child Adolescent Mental Health, 21(2), 115–123. https://doi.org/10.1111/camh.12128 Currently internal lookup Italian data Di Biase, R., Evans, C., Rebecchi, D., Baccari, F., Saltini, ., Bravi, E., Palmieri, G., & Starace, F. (2021). Exploration psychometric properties Italian version Core Young Person’s Clinical Outcomes Routine Evaluation (YP-CORE). Research Psychotherapy: Psychopathology, Process Outcome, 24(2). https://doi.org/10.4081/ripppo.2021.554","code":""},{"path":"/reference/lookupCSCgenderAndAge.html","id":"history-development-log","dir":"Reference","previous_headings":"","what":"History/development log","title":"Function using gender and age in input file, with a lookup, to get appropriate CSC values — lookupCSCgenderAndAge","text":"Version 1: 21..2024","code":""},{"path":"/reference/lookupCSCgenderAndAge.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Function using gender and age in input file, with a lookup, to get appropriate CSC values — lookupCSCgenderAndAge","text":"Chris Evans","code":""},{"path":"/reference/lookupCSCgenderAndAge.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Function using gender and age in input file, with a lookup, to get appropriate CSC values — lookupCSCgenderAndAge","text":"","code":"if (FALSE) { ### simple usage of the function with comments explaining the arguments rather more ### see Rblog post ... for more information ### lookupCSCgenderAndAge(useInternalLookup = TRUE, # so using the internal lookup data                                                 # (could have omitted this, it's the default)    lookupTableName = NULL, # so no need to give an external lookup table name                                                 # (default again could have omitted this)    lookupGenderVarChar = \"Gender\", # name of the gender variable in the lookup table                                                 # ditto!    lookupAgeVarChar = \"Age\", # name of the age variable ditto    lookupGenderF = \"F\", # code for female gender in the lookup table (ditto)    lookupGenderM = \"M\", # code for male gender ditto    lookupGenderO = \"O\", # code for other gender ditto                         # for future proofing, current lookup tables are only binary gender    ### now the arguments about the data to code    dataTableName = tibData, # crucial name of the data to classify, this and the following    dataGenderVarChar = \"Gender\", # name of the gender variable in those data (default)    dataAgeVarChar = \"Age\", # you can work out this and the following    dataGenderF = \"F\",    dataGenderM = \"M\",    dataGenderO = \"O\",    ### no missing values in lookup tables (would be meaningless),    ### but you may have missing values in your data hence this next argument    dataGenderNA = NA_character_) -> tibBlackshaw     ### so that call returns the raw data but now with the CSC values  tibBlackshaw %>%  group_by(Gender, Age, CSC) %>%  filter(Dataset2 == \"HS\" & ID == 1) %>%  ungroup() %>%  select(ID, Gender : YPscore, Ref, CSC) %>%  flextable() %>%  autofit() }"},{"path":"/reference/plotBinconf.html","id":null,"dir":"Reference","previous_headings":"","what":"Function outputting a plot of confidence interval around a proportion for a range of sample sizes — plotBinconf","title":"Function outputting a plot of confidence interval around a proportion for a range of sample sizes — plotBinconf","text":"Function outputting plot confidence interval around proportion range sample sizes","code":""},{"path":"/reference/plotBinconf.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Function outputting a plot of confidence interval around a proportion for a range of sample sizes — plotBinconf","text":"","code":"plotBinconf(proportion, minN, maxN, step = 1, conf = 0.95, fixYlim = FALSE)  plotCIProportion(   proportion,   minN,   maxN,   step = 1,   conf = 0.95,   fixYlim = FALSE )"},{"path":"/reference/plotBinconf.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Function outputting a plot of confidence interval around a proportion for a range of sample sizes — plotBinconf","text":"proportion numeric: proportion sought (actual proportion nearest possible n) minN numeric: smallest sample size, n, estimate plot maxN numeric: largest n step numeric: steps use minN maxN, defaults 1 set higher plotting wide range n conf numeric: confidence interval width, usually .95 fixYlim logical: FALSE, ggplot finds sensible y limits, TRUE, y axis runs 0 1","code":""},{"path":"/reference/plotBinconf.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Function outputting a plot of confidence interval around a proportion for a range of sample sizes — plotBinconf","text":"ggplot object, default print can save modify like","code":""},{"path":"/reference/plotBinconf.html","id":"background","dir":"Reference","previous_headings":"","what":"Background","title":"Function outputting a plot of confidence interval around a proportion for a range of sample sizes — plotBinconf","text":"little function just plots confidence intervals (CIs) proportion range sample sizes.  wrote writing classifyScoresVectorByRCI give CIs around observed proportions thought people entirely familiar comfortable CIs might useful able see plot intervals around observed proportions change sample size. #'","code":""},{"path":"/reference/plotBinconf.html","id":"history-development-log","dir":"Reference","previous_headings":"","what":"History/development log","title":"Function outputting a plot of confidence interval around a proportion for a range of sample sizes — plotBinconf","text":"Started 5.iv.21","code":""},{"path":[]},{"path":"/reference/plotBinconf.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Function outputting a plot of confidence interval around a proportion for a range of sample sizes — plotBinconf","text":"Chris Evans","code":""},{"path":"/reference/plotBinconf.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Function outputting a plot of confidence interval around a proportion for a range of sample sizes — plotBinconf","text":"","code":"if (FALSE) {  ### 95% CI around proportion .5 for n from 10 to 70 plotBinconf(.5, 10, 70, conf = .95) # don't have to declare conf, defaults to .95 ### notice that the observed proportion wiggles up and down as n increases as ### you can only have integer counts so functions gets nearest to the desired ### proportion, here .5, possible for that n, so for n = 10, we can have perfect .5 ### but for n = 11 6/11 is .545454..  ### 90% CI around proportion .5 for n from 10 to 70 plotBinconf(.5, 10, 70, conf = .90)  ### 90% CI around proportion .5 for n from 100 to 200 plotBinconf(.5, 10, 70, conf = .90)  ### same but fixing y limits to 0 and 1 plotBinconf(.5, 10, 70, conf = .90, fixYlim = TRUE)  ### default 95% CI, exporting to tmpPlot and then changing plot plotBinconf(.5, 10, 70) -> tmpPlot tmpPlot +    ggtitle(\"95% CI around proportion .5 for n from 10 to 70\") +    theme_bw()  ### other inputs plotBinconf(0, .95, 10, 70) plotBinconf(1, .95, 10, 70) plotBinconf(.7, .95, 100, 200) plotBinconf(.3, .95, 100, 700, 5)  }"},{"path":"/reference/plotCIPearson.html","id":null,"dir":"Reference","previous_headings":"","what":"Function outputting a plot of confidence interval around a correlation for a range of sample sizes — plotCIPearson","title":"Function outputting a plot of confidence interval around a correlation for a range of sample sizes — plotCIPearson","text":"Function outputting plot confidence interval around correlation range sample sizes","code":""},{"path":"/reference/plotCIPearson.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Function outputting a plot of confidence interval around a correlation for a range of sample sizes — plotCIPearson","text":"","code":"plotCIPearson(   corr,   minN,   maxN,   step = 1,   conf = 0.95,   minY = NULL,   maxY = NULL )"},{"path":"/reference/plotCIPearson.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Function outputting a plot of confidence interval around a correlation for a range of sample sizes — plotCIPearson","text":"corr numeric: Pearson correlation minN numeric: smallest n want CI maxN numeric: largest n want CI step numeric: step want n increment (default 1), minN maxN give 200 values n conf numeric: confidence interval want, defaults .95 minY numeric: want set y axis limits input number greater -1 maxY numeric: want set y axis limits input number smaller 1 ","code":""},{"path":"/reference/plotCIPearson.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Function outputting a plot of confidence interval around a correlation for a range of sample sizes — plotCIPearson","text":"ggplot object capture plot default plot device","code":""},{"path":"/reference/plotCIPearson.html","id":"background","dir":"Reference","previous_headings":"","what":"Background","title":"Function outputting a plot of confidence interval around a correlation for a range of sample sizes — plotCIPearson","text":"another function like plotBinconf plots width confidence intervals (CIs) range sample/dataset sizes.","code":""},{"path":"/reference/plotCIPearson.html","id":"history-development-log","dir":"Reference","previous_headings":"","what":"History/development log","title":"Function outputting a plot of confidence interval around a correlation for a range of sample sizes — plotCIPearson","text":"Version 1: 5.iv.21 Version 2: 25.xi.23 Renamed plotCIPearson allow addition plotCISpearman soon.","code":""},{"path":[]},{"path":"/reference/plotCIPearson.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Function outputting a plot of confidence interval around a correlation for a range of sample sizes — plotCIPearson","text":"Chris Evans","code":""},{"path":"/reference/plotCIPearson.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Function outputting a plot of confidence interval around a correlation for a range of sample sizes — plotCIPearson","text":"","code":"if (FALSE) { ### simple example for observed 95% confidence interval (CI) around observed correlation of .7 ### for sample sizes between 10 and 100 plotCIPearson(.7, 10, 100)  ### similar but for dataset sizes between 10 and 500 by steps of 5 plotCIPearson(.7, 10, 500, 5)  ### similar but asking for 99% CI plotCIPearson(.7, 10, 500, 5, conf = .99)  ### similar but setting lower y axis limit to -1 plotCIPearson(.7, 10, 500, 5, conf = .99, minY = -1)  ### and you can set the upper y limit, observed R = 0 for a change plotCIPearson(0, 10, 500, 5, conf = .99, minY = -1, maxY = 1)  ### same but exporting to tmpPlot and then changing plot plotCIPearson(0, 10, 500, 5, conf = .99, minY = -1, maxY = 1) -> tmpPlot tmpPlot +    ggtitle(\"95% CI around observed Pearson correlation of zero for n from 10 to 500\") +    theme_bw()  }"},{"path":"/reference/plotQuantileCIsfromDat.html","id":null,"dir":"Reference","previous_headings":"","what":"Title Function that plots ecdf of a vector of values with quantiles marked with their CIs — plotQuantileCIsfromDat","title":"Title Function that plots ecdf of a vector of values with quantiles marked with their CIs — plotQuantileCIsfromDat","text":"Title Function plots ecdf vector values quantiles marked CIs","code":""},{"path":"/reference/plotQuantileCIsfromDat.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Title Function that plots ecdf of a vector of values with quantiles marked with their CIs — plotQuantileCIsfromDat","text":"","code":"plotQuantileCIsfromDat(   vecDat = NA,   vecQuantiles = NA,   method = c(\"Nyblom\", \"Exact\", \"Bootstrap\"),   ci = 0.95,   R = 9999,   type = NULL,   xLab = \"Value for probability (quantile)\",   yLab = \"Probability\",   percent = FALSE,   colPoint = \"black\",   colLCL = \"black\",   colUCL = \"black\",   vertQuantiles = TRUE,   vertCLs = FALSE,   shadeCI = TRUE,   addAnnotation = TRUE,   titleText = \"ECDF with quantiles and CIs around quantiles\",   subtitleText = \"\",   titleJust = 0.5,   themeBW = TRUE,   printPlot = TRUE,   returnPlot = FALSE )"},{"path":"/reference/plotQuantileCIsfromDat.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Title Function that plots ecdf of a vector of values with quantiles marked with their CIs — plotQuantileCIsfromDat","text":"vecDat Vector data vecQuantiles Vector quantiles wanted method Method compute CIs ci Width CI wanted R Number bootstrap replications bootstrap CI method invoked type Type quantile (defaults 8) xLab Label x axis yLab Label y axis percent Logical: whether show quantile % instead proportion (defaults FALSE) colPoint Colour quantile point (defaults \"black\") colLCL Colour LCL point (defaults \"black\") colUCL Colour UCL point (defaults \"black\") vertQuantiles Whether drop vertical line quantiles (defaults TRUE) vertCLs Whether drop vertical line confidence limits (defaults FALSE) shadeCI Whether shade area CI (defaults TRUE) addAnnotation Whether add informative annotation (defaults TRUE) titleText Text title subtitleText Text subtitle titleJust Justification title (0, .5 1, defaults .05, centred) themeBW Logical: whether use them_bw() printPlot Logical: whether print plot (defaults TRUE) returnPlot Logical: whether return plot (defaults FALSE)","code":""},{"path":"/reference/plotQuantileCIsfromDat.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Title Function that plots ecdf of a vector of values with quantiles marked with their CIs — plotQuantileCIsfromDat","text":"plot ggplot object returnPlot == TRUE","code":""},{"path":"/reference/plotQuantileCIsfromDat.html","id":"background","dir":"Reference","previous_headings":"","what":"Background","title":"Title Function that plots ecdf of a vector of values with quantiles marked with their CIs — plotQuantileCIsfromDat","text":"empirical cumulative distribution function alternative histogram show distribution set scores.  plots proportion sample set scores observed score score.  proportion (percentage) plotted y axis score x axis.  particularly useful typical mental health (MH) change/outcome measures interested someone's score lies possible population distribution scores. ECDFs complement quantiles quantile (.k.. centile, percentile, decile), score (x axis) maps percentage, 95% percentile percentile score 5% sample scored , 95% scored . function takes set scores/values plots ECDF quantiles ask confidence intervals width wanted (typically 95%, .e. .95). See help page getCIforQuantiles() learn computation confidence intervals.","code":""},{"path":"/reference/plotQuantileCIsfromDat.html","id":"history","dir":"Reference","previous_headings":"","what":"History","title":"Title Function that plots ecdf of a vector of values with quantiles marked with their CIs — plotQuantileCIsfromDat","text":"Started 30.vii.23","code":""},{"path":"/reference/plotQuantileCIsfromDat.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Title Function that plots ecdf of a vector of values with quantiles marked with their CIs — plotQuantileCIsfromDat","text":"Nyblom, J. (1992). Note interpolated order statistics. Statistics & Probability Letters, 14(2), 129–131. https://doi.org/10.1016/0167-7152(92)90076-H https://github.com/mhoehle/quantileCI","code":""},{"path":[]},{"path":"/reference/plotQuantileCIsfromDat.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Title Function that plots ecdf of a vector of values with quantiles marked with their CIs — plotQuantileCIsfromDat","text":"Chris Evans","code":""},{"path":"/reference/plotQuantileCIsfromDat.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Title Function that plots ecdf of a vector of values with quantiles marked with their CIs — plotQuantileCIsfromDat","text":"","code":"if (FALSE) { ### will need tidyverse to run library(tidyverse) ### will need quantileCI to run ### if you don't have quantileCI package you need to get it from github: # devtools::install_github(\"hoehleatsu/quantileCI\") library(quantileCI)  ### define the quantiles you want ### here I'm going for the 5th, 10th, 90th and 95% (per)centiles and the quartiles and median vecQuantiles <- c(.05, .1, .25, .5, .75, .9, .95)  ### looking at 100 scores from 1 to 100 plotQuantileCIsfromDat(vecDat = 1:100, vecQuantiles = vecQuantiles,                      method = \"N\", ci = 0.95, R = 9999, type = 8,                      titleJust = 1, # right justify the title and subtitle                      themeBW = TRUE) # use theme_bw()  ### same data plotQuantileCIsfromDat(vecDat = 1:100, vecQuantiles = vecQuantiles,                      method = \"N\", ci = 0.95, R = 9999, type = 8,                      titleJust = .5, # centre the title and subtitle                      themeBW = TRUE)  ### same data plotQuantileCIsfromDat(vecDat = 1:100, vecQuantiles = vecQuantiles,                      method = \"N\", ci = 0.95, R = 9999, type = 8,                      titleJust = .5, themeBW = FALSE,                      printPlot = FALSE, # this time don't plot from within the function call but                      ## this next argument ask the function the plot object                      returnPlot = TRUE) -> tmpPlot ### so plot it! (plot() and print() will both work, ### you can also manipulate the plot before printing) print(tmpPlot)  ### this illustrates the CIs getting tighter as the dataset size goes up plotQuantileCIsfromDat(vecDat = 1:1000, vecQuantiles = vecQuantiles,                      method = \"N\", ci = 0.95, R = 9999, type = 8)  ### and even more data, tighter CIs again plotQuantileCIsfromDat(vecDat = 1:10000, vecQuantiles = vecQuantiles,                      method = \"N\", ci = 0.95, R = 9999, type = 8)  ### now a Gaussian (\"Normal\") distribution of scores plotQuantileCIsfromDat(vecDat = rnorm(100), vecQuantiles = vecQuantiles,                      method = \"N\", ci = 0.95, R = 9999, type = 8)  ### larger dataset plotQuantileCIsfromDat(vecDat = rnorm(1000), vecQuantiles = vecQuantiles,                      method = \"N\", ci = 0.95, R = 9999, type = 8)  ### and larger again plotQuantileCIsfromDat(vecDat = rnorm(10000), vecQuantiles = vecQuantiles,                      method = \"N\", ci = 0.95, R = 9999, type = 8,                      titleJust = .5, themeBW = TRUE) }"},{"path":"/news/index.html","id":"version-0009050","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9050","title":"Version 0.0.0.9050","text":"Fixed essentially cosmetic bug plotQuantileCIsfromDat() (CI percentage plot label wrong: showed .1 !) serious bug getCIforQuantiles() always using 95% CI entered. affected things someone wanted another CI think impact zero!","code":""},{"path":"/news/index.html","id":"version-0009049","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9049","title":"Version 0.0.0.9049","text":"Added first version lookupCSCgenderAndAge(). Error checks probably fully correct warning output tests yet.","code":""},{"path":"/news/index.html","id":"version-0009048","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9048","title":"Version 0.0.0.9048","text":"Renamed plotCIcorrelation() plotCIPearson() (alias plotCIcorrelation()) allow creation plotCISpearman() soon. , tweaked code avoid irritating warning message caused changes tidyverse improve code bit. Created getCIPearson() pulling plotCIPearson().","code":""},{"path":"/news/index.html","id":"version-0009047","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9047","title":"Version 0.0.0.9047","text":"Added convertClipboardAuthorNames()","code":""},{"path":"/news/index.html","id":"version-0009046","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9046","title":"Version 0.0.0.9046","text":"Whoops, forgetting update . getCIforQuantiles improved plotQuantileCIsfromDat added full testing getCIforQuantiles testing sanity testing plotQuantileCIsfromDat. ancillary things removed github clearly aged beyond “work dates”.","code":""},{"path":"/news/index.html","id":"version-0009045","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9045","title":"Version 0.0.0.9045","text":"Improved sanity checking getCIforQuantiles, added internalUtils.R hidden functions, first one isNothing() added test-getScoreFromItems getScoreFromItems still work progress","code":""},{"path":"/news/index.html","id":"version-0009044","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9044","title":"Version 0.0.0.9044","text":"Realised test-getCIforQuantiles lost github mess, reinstated . Creating getScoreFromItems progress.","code":""},{"path":"/news/index.html","id":"version-0009043","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9043","title":"Version 0.0.0.9043","text":"Replaced class(arg) == “formula” tests inherits(arg, “formula”) functions class() test deprecated. local machine installed missing R packages covr & specr Linux command line utility qpdf (confused R package qpdf!) suppress check warnings/notes just local changes.","code":""},{"path":"/news/index.html","id":"version-0009042","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9042","title":"Version 0.0.0.9042","text":"Added getCIforQuantiles.R tests yet things need work deal changes R package building tools since last updated package (long time ago!)","code":""},{"path":"/news/index.html","id":"version-0009041","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9041","title":"Version 0.0.0.9041","text":"Just trying using “Build Source” see gets vignettes GitHub. Small tweaks Introduction vignette.","code":""},{"path":"/news/index.html","id":"version-0009040","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9040","title":"Version 0.0.0.9040","text":"Yet another commit ’ve realised run pkgdown::build_site() committing get pkgdown site rebuilt. Let’s see works!","code":""},{"path":"/news/index.html","id":"version-0009039","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9039","title":"Version 0.0.0.9039","text":"rebuild see got around rather frustrating failure Rstudio’s build rebuild vignettes resulted disappearing. Also testing see usethis::use_github_action(“pkgdown”) looked getting pkgdown site rebuilt new push, like one!","code":""},{"path":"/news/index.html","id":"version-0009038","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9038","title":"Version 0.0.0.9038","text":"Added internal functions checkIsVector() checkIsOneDim() get around (easily done) misunderstanding base::.vector(). Tweaks checkAllUnique(), classifyScoresVectorByRIC() convertVector2sentence() clean handling vectors attributes handle single dimensional lists.","code":""},{"path":"/news/index.html","id":"version-0009037","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9037","title":"Version 0.0.0.9037","text":"Merged code conduct contributors documents created GitHub (GitHub repository now issue templates). Tweak README point pkgdown website package https://cecpfuns.psyctc.org/.","code":""},{"path":"/news/index.html","id":"version-0009036","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9036","title":"Version 0.0.0.9036","text":"Used pkgdown make web site package. process checks examples tweaks examples getBootCImean, classifyScoresVectorsByRCI checkAllUnique run correctly.","code":""},{"path":"/news/index.html","id":"version-0009035","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9035","title":"Version 0.0.0.9035","text":"Improved help page getRelBySpearmanBrown linked new Rblog page https://www.psyctc.org/Rblog/posts/2021-04-09-spearman-brown-formula/. help page “History” sections renamed “History/development log” avoid confusion use “History”. Functions convertVector2sentence convert2CEdate got synonyms convertVectorToSentence convertToCEdate: congruent general naming conventions.","code":""},{"path":"/news/index.html","id":"version-0009034","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9034","title":"Version 0.0.0.9034","text":"help pages now “History” section function keep updating record.","code":""},{"path":"/news/index.html","id":"version-0009033","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9033","title":"Version 0.0.0.9033","text":"Tiny tweaks Description light rhub checking. Small improvements plotBinconf gave synonym plotCIproportion. Added plotCIcorrelation (synonym plotCIPearson).","code":""},{"path":"/news/index.html","id":"version-0009032","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9032","title":"Version 0.0.0.9032","text":"Hm. Tweaked “pak_install_extra(upgrade = FALSE)” “pak::pak_install_extra(upgrade = FALSE)”","code":""},{"path":"/news/index.html","id":"version-0009031","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9031","title":"Version 0.0.0.9031","text":"Added “pak_install_extra(upgrade = FALSE)” R-CMD-check.yaml see run perhaps solve failure R 3.5 Ubuntu. Split “Introduction” vignette “Introduction” “Background”, added basics “Bootstrapping” (CIs) vignette one RCSC framework.","code":""},{"path":"/news/index.html","id":"version-0009030","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9030","title":"Version 0.0.0.9030","text":"Minor improvements classifyScoresVectorByRCI.","code":""},{"path":"/news/index.html","id":"version-0009029","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9029","title":"Version 0.0.0.9029","text":"Added checkAllUnique()","code":""},{"path":"/news/index.html","id":"version-0009028","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9028","title":"Version 0.0.0.9028","text":"tweaks classifyScoresVectorByRCI() plotBinconf() please lintR! R-CMD-check.yaml tweaked get R 3.5.0 checked windows see error report 3.5 Ubuntu replicated. Added isOneToOne().","code":""},{"path":"/news/index.html","id":"version-0009027","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9027","title":"Version 0.0.0.9027","text":"Tweaked ./.github/workflows/R-CMD-check.yaml removing checking R < 3.5, tests added classifyScoresVectorByRCI() plotBinconf(), introductory vignette fleshed package help page now largely replaced link vignette.","code":""},{"path":"/news/index.html","id":"version-0009026","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9026","title":"Version 0.0.0.9026","text":"Corrected mistake classifyScoresVectorByRCI() help examples. Added suppressMessages plotBinconf() get rid irritating messages dplyr.","code":""},{"path":"/news/index.html","id":"version-0009025","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9025","title":"Version 0.0.0.9025","text":"Added classifyScoresVectorByRCI() plotBinconf(). still need work help tests usable.","code":""},{"path":"/news/index.html","id":"version-0009024","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9024","title":"Version 0.0.0.9024","text":"Renamed classifyRCIfromScores classifyScoresByRCI. dependency hunting.","code":""},{"path":"/news/index.html","id":"version-0009023","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9023","title":"Version 0.0.0.9023","text":"work get continuous integration testing github github actions running. Moved linting GitHub, linting code.","code":""},{"path":"/news/index.html","id":"version-0009021","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9021","title":"Version 0.0.0.9021","text":"Added classifyRCIfromScores() first seemed trivial function, really, turned huge amount work bizarrely. Added internal data directory data-raw test data hence sysdata.rda. R style improvements.","code":""},{"path":"/news/index.html","id":"version-0009020","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.9020","title":"Version 0.0.0.9020","text":"skipped updating 12 changes. 9000 came ’s convention says version alpha/testing. Latest change adding classifyRCIfromScores() lot tweaking trying improve lint checking complaints.","code":""},{"path":"/news/index.html","id":"version-0008","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.8","title":"Version 0.0.0.8","text":"Added getCSC() tweaks documentation help.","code":""},{"path":"/news/index.html","id":"version-0007","dir":"Changelog","previous_headings":"","what":"Version 0.0.0.7","title":"Version 0.0.0.7","text":"Improved documentation, building README.Rd README.Rmd just knitting Rstudio.","code":""}]