Stats Apps Tutorials: 27. Nonparametric analysis in R
Links to video sections and data files are in the description below. In this tutorial video we tackle common non-parametric tests in R and RStudio including the Mann-Whitney U, Wilcoxon signed ranks test, Kruskal-Wallis test and Friedman's ANOVA.
Data files used in this video:
apathy.csv:
https://www.mediafire.com/file/trzfea...
apathy-2day.csv:
https://www.mediafire.com/file/vsuj55...
rFromWilcox_Function.txt:
https://www.mediafire.com/file/e0b1vb...
soyawanttodoatest.csv:
https://www.mediafire.com/file/07hb22...
diet.csv:
https://www.mediafire.com/file/fx3dop...
diet-long.csv:
https://www.mediafire.com/file/u6qq9d...
Sections:
00:00 Introduction
00:26 Setting up
01:11 Two independent samples: Mann-Whitney U
07:58 Effect size for Mann-Whitney U
09:12 Two related samples: Wilcoxon signed ranks
13:35 Effect size for Wilcoxon signed ranks
17:26 Three or more independent samples: Kruskal-Wallis test
21:37 Effect size for Kruskal-Wallis and post-hoc tests
28:10 Three or more related samples: Friedman's ANOVA
34:26 Effect size for Friedman's ANOVA and post-hoc tests
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