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R for the Rest of Us: A Statistics-Free Introduction comes out June 25th. Or you can read the online version today. Check it out →
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Your Turn

Try the various transformations on the age variable. Do any of them improve the normality of the variable? Test using the shapiro_test() function as you learned in the “Testing assumptions” lesson.

Learn More

Read more about the Winsorize() function in the DescTools package.

Read more about applying transformations in R.

Read more about performing the non-parametric equivalent statistics in the rstatix package:

  • wilcox_test() as the non-parametric equivalent of the independent samples t-test (note: this is synonymous of the Mann-Whitney U test)

  • sign_test() as the non-parametric equivalent of the dependent samples t-test

  • kruskall_test() as the non-parametric equivalent of the one-way ANOVA

  • friedman_test() as the non-parametric equivalent of the one-way repeated measures ANOVA

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