Box Plots in R with t-test, Mann-Whitney, ANOVA, Kruskal-Wallis, Shapiro-Wilk, Levene and post-hocs

Hi, this video builds on the previous one - Box-plots with statistical details, so I highly recommend to check it out first:    • Box-Plots with Statistical Details - ...  

In this video you'll learn how to conduct the most important statistical tests and visualise them on top of informative box-violin-plots in a simple intuitive R syntax. Particularly, you’ll learn how to do Student’s and Welsh’ t-tests, Mann-Whitney, Fisher’s and Welsh ANOVA and Kruskal-Wallis tests … like the one you see on the screen… You’ll also learn how to choose a correct test via checking assumptions in R with Shapiro-Wilk normality test and Levene’s homogeneity of variances test. Last, but not least you’ll be able to get a correct post-hoc analysis for ANOVA and Kruskal Wallis with p-values corrected for multiple comparisons. If you don’t know what post-hoc and p-value corrections are, no worries, I’ll briefly explain it. So, this video is not only about simple R code, but also about learning statistics by doing. Let’s get right into it!

Don't hesitate to use english subtitles, I edited them.

If you only want the code (or want to support me), consider join the channel (join button below any of the videos), because I provide the code upon members requests.

I also created a quick demo in R in the next video.

Enjoy! 🥳