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  3. Intro to Statistics with R: Repeated measures ANOVA

Exercise

Post-hoc test: Bonferroni

Now we'll take a look at the most conservative procedure, Bonferroni. This procedure will apply the most extreme adjustments to the p-values.

Instructions

100 XP
  • Use the with() function to do all pairwise comparisons in one step. You can do the pairwise tests with the function pairwise.t.test(). Set the argument p.adjust.method argument equal to "bonferroni".