ANOVA in RStudio Part 1 | Visualization, Normality Assumption, Homogeneity of Variance

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 | Part 1   Videos on how to interpret ANOVA and report the results:    • ANOVA 7: How to report the results of Fact...