correlation random-forest decision-tree k-fold gradient-boosting stepwise datacleaning skewness datamodeling
-
Updated
May 18, 2020 - R
#
skewness
Here are 10 public repositories matching this topic...
Basic Statistic operations using R language
probability dispersion visualizations normal-distribution z-score confidence-interval skewness kurtosis t-score central-tendency
-
Updated
Feb 10, 2021 - R
Statistical analysis comparing metal accumulation levels in three macroinvertebrate groups
metal p-value biostatistics pca non-parametric anova parametric-tests bonferroni levene-test normal-distribution kruskal-wallis shapiro-wilk skewness dunn-s-test significant macroinvertebrate bioaccumulation
-
Updated
Sep 26, 2017 - R
Tutoriales sobre medidas de dispersión en R
frequency rstudio histogram rstats variance unam frequency-analysis standard-deviation skewness kurtosis
-
Updated
Sep 30, 2020 - R
This repo is for copula based analysis on bivariate as well as multivariate data sets in ecology and related fields. For details and citation we refer to this publication: Ghosh et al., Advances in Ecological Research, vol 62,pp 409, 2020
copula stability extinction-risk-assessment synchrony skewness moran-process surrogates tail-dependence modelselection non-parametric-statistics dependence-in-ecological-variables leibigs-law-of-minimum taylors-law
-
Updated
Mar 16, 2020 - R
This project is about to use linear regression to examine the relationship between various economic variables and the mortgage rate in the United States.
r linear-regression economics statistical-analysis data-analytics wls multicollinearity skewness heteroscedasticity ols-regression-model
-
Updated
Aug 7, 2023 - R
This repo is related to the publication for theory developing on tail associations among species to the temporal variability of community aggregate properties. For citation we refer to: Ghosh et al., Phil. Trans. R. Soc. B 376, 20200343 (2021).
-
Updated
Jun 6, 2021 - R
This repository contains simple statistical R codes used to describe a dataset. These scripts provide a summarized and easy way of estimating the mean, median, mode, skewness and kurtosis of data. It also provides codes for calculating the covariance.
mean range mode minimum maximum covariance median pearson-coefficient skewness spearman kurtosis kendall hmisc e1071
-
Updated
Jun 29, 2020 - R
Power Link Functions in Modeling Dependent Ordinal Data
-
Updated
Oct 23, 2018 - R
Improve this page
Add a description, image, and links to the skewness topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the skewness topic, visit your repo's landing page and select "manage topics."