prepare new release

wadpac · Dec 11, 2024 · 7ff6c1c · 7ff6c1c
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diff --git a/DESCRIPTION b/DESCRIPTION
@@ -1,8 +1,8 @@
 Package: GGIR
 Type: Package
 Title: Raw Accelerometer Data Analysis
-Version: 3.1-7
-Date: 2024-11-25
+Version: 3.1-8
+Date: 2024-12-11
 Authors@R: c(person("Vincent T","van Hees",role=c("aut","cre"),
                     email="v.vanhees@accelting.com"),
              person("Jairo H","Migueles",role="aut",

diff --git a/NEWS.md b/NEWS.md
@@ -1,4 +1,4 @@
-# CHANGES IN GGIR VERSION 3.1-?
+# CHANGES IN GGIR VERSION 3.1-8
 
 - Part 4: Parameter sib_must_fully_overlap_with_TimeInBed added to control whether sib should overlap fully with the start and/or end of time in bed to be considered sleep (default TRUE),
 this is consistent with functionality in the past. #1223

diff --git a/man/GGIR-package.Rd b/man/GGIR-package.Rd
@@ -21,8 +21,8 @@
   \tabular{ll}{
   Package: \tab GGIR\cr
   Type: \tab Package\cr
-  Version: \tab 3.1-7\cr
-  Date: \tab 2024-11-25\cr
+  Version: \tab 3.1-8\cr
+  Date: \tab 2024-12-11\cr
   License: \tab Apache License (== 2.0)\cr
   Discussion group: \tab https://groups.google.com/forum/#!forum/rpackageggir\cr
   }

diff --git a/vignettes/chapter12_TimeUseAnalysis.Rmd b/vignettes/chapter12_TimeUseAnalysis.Rmd
@@ -65,7 +65,6 @@ GGIR provides the following metrics over the time windows calculated, i.e., full
 
 On a side note - If you multiply Acceleration by Duration for a given class, and by that combine the information from both variables, you would arrive at a volume measure of behaviour. This is similar to the construct of calories over time. I think this would be a much richer way of describing the data as opposed to the conventional approach that only looks at either time spent per behavioural class or average acceleration in an entire day.
 
-
 ### Complementary variables
 
 If your primary interest is on sleep research then we recommend you to work with the GGIR part 4 reports. However, for those who want to look at interactions between behaviour and sleep, GGIR part 5 reports include sleep estimates as used for the part 5 analysis. Note that in part 5 the criteria for sleep estimate inclusion are different than for part 4. In part 5 we are happy with any estimate, even if the accelerometer was not worn during the night.
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Expand Up		@@ -65,7 +65,6 @@ GGIR provides the following metrics over the time windows calculated, i.e., full

		On a side note - If you multiply Acceleration by Duration for a given class, and by that combine the information from both variables, you would arrive at a volume measure of behaviour. This is similar to the construct of calories over time. I think this would be a much richer way of describing the data as opposed to the conventional approach that only looks at either time spent per behavioural class or average acceleration in an entire day.


		### Complementary variables

		If your primary interest is on sleep research then we recommend you to work with the GGIR part 4 reports. However, for those who want to look at interactions between behaviour and sleep, GGIR part 5 reports include sleep estimates as used for the part 5 analysis. Note that in part 5 the criteria for sleep estimate inclusion are different than for part 4. In part 5 we are happy with any estimate, even if the accelerometer was not worn during the night.
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