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Common statistical tests are linear models (or: how to teach stats)
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2019年06月28日 11:03:11 +02:00
include Update header and beginning: add date, links, and sharing. 2019年04月02日 13:42:12 +02:00
index_files Build HTML with latest updates 2019年06月28日 11:02:27 +02:00
simulations Move simulations to folder 2019年04月01日 23:30:35 +02:00
.gitignore Remove unused 2019年04月01日 23:31:41 +02:00
index.html Build HTML with latest updates 2019年06月28日 11:02:27 +02:00
index.Rmd Added motivational image in intro 2019年06月28日 11:00:45 +02:00
linear_tests_cheat_sheet.odt Added links to Python version 2019年06月28日 11:00:17 +02:00
linear_tests_cheat_sheet.pdf Added links to Python version 2019年06月28日 11:00:17 +02:00
linear_tests_cheat_sheet.png Fix Kruskal-Wallis spelling and explanation in cheat sheet (thanks William Doane!) #14 2019年04月03日 21:03:25 +02:00
README.md Updated README.md with new file structure 2019年04月02日 00:07:18 +02:00
simulate_wilcoxon.html Move simulations to folder 2019年04月01日 23:30:35 +02:00
Tests as linear models.Rproj Initial commit 2019年03月15日 09:43:23 +01:00

This is the source code underlying the post Common statistical tests are linear models (or: how to teach stats). I explained it in this Twitter thread.

This is the main content:

  • index.Rmd is the Rmarkdown code which generated the post.
  • linear_tests_cheat_sheet.odt is a Libreoffice Writer document with the cheat sheet.
  • simulations folder are the simulations of the accuracy of the parametric approximation to non-parametric tests.

Please contribute! For example:

  • Raise issues if you have ideas.
  • Submit pull requests if you want to participate improving it.
  • Star it if you just want to follow updates
  • Fork it to make your own spin!