ANOVA in RStudio Part 2 | ANOVA, Model Fitting, Effect Size, Post-Hoc Analysis & Visualization
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- čas přidán 11. 09. 2024
- 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
github.com/Ari...
Videos on getting started with R:
• Getting Started with R...
Videos on how to interpret ANOVA and report the results:
• ANOVA 7: How to report...
Highly informative and useful!
Thank you very much
Amazing video
Thank you.
i am still waiting for the other test, if the distribution is not normal and homogeneity variance is violated. KK , please in R
Super helpful. Any insights on within-persons designs for factorial ANOVAs?