Model Formulas in R: Basics and Applications

This lecture covers the basics of model formulas in R, including the generic form, numeric and factor predictors, interactions, and model assessment techniques such as tables of group means and interpreting R output. It also delves into ANOVA, multiple comparisons, and factorial experimental designs, emphasizing the importance of interaction and the advantages of factorial experiments. The lecture concludes with examples like the Tooth Growth study, showcasing the application of model formulas in real-world scenarios.