ANOVA in RStudio Part 2 | ANOVA, Model Fitting, Effect Size, Post-Hoc Analysis & Visualization

In these two installments, I demonstrate how to run an #ANOVA test in #RStudio.

Specifically, in the first video, I will discuss:
1 Data visualization
2 Assumption 1. Normality (of residuals)
3 Assumption 2. Homogeneity of variances: Levene's test; Bartlett's test

In the second video, I cover:
4 Factorial #ANOVA: one-way, two-way, three-way ANOVA
5 Model fit: AIC, BIC, AICwt, and BICwt
6 Effect size: (Partial) eta^2, omega^2, epsilon^2
7 Post-hoc analysis: "hsd", "bonferroni", "lsd", "scheffe", "newmankeuls", "duncan"
8 Visualize post-hoc results with confidence intervals

GitHub link for downloading the dataset and #R Scripts
https://github.com/AriaAvi/Multivaria...

Videos on getting started with R:
   • Getting Started with RStudio and R | ...  

Videos on how to interpret ANOVA and report the results:
   • ANOVA 7: How to report the results of...