"Batch 63: ANOVA in R - A Step-by-Step Guide to All Types"
📊 Welcome to Batch 63!
In this tutorial, learn how to perform Analysis of Variance (ANOVA) in R and understand its different types—One-Way, Two-Way, and Repeated Measures. ANOVA is a crucial statistical technique for comparing group means and testing hypotheses in fields like data science, research, and beyond. By the end of this video, you’ll be able to structure your data correctly, run ANOVA tests in R, and interpret your results with confidence.
What You’ll Learn:
1️⃣ One-Way ANOVA: Compare means across one categorical factor (e.g., treatment groups).
2️⃣ Two-Way ANOVA: Investigate the effect of two different factors and their interaction.
3️⃣ Repeated Measures ANOVA: Analyze repeated observations (e.g., measurements over time) from the same subjects.
4️⃣ Data Arrangement: Long vs. wide format and best practices for input data.
5️⃣ Interpretation: How to read ANOVA tables, p-values, and post-hoc tests.