A Language, not a Letter: Learning Statistics in R
Intro
R-programming
Chapter 1: Introduction
Chapter 2: Indexing
Chapter 3: Loops & Logicals
Chapter 4: Apply Family
Chapter 5: Plyr Package
Chapter 6: Vectorizing
Chapter 7: Sample & Replicate
Chapter 8: Melting & Casting
Chapter 9: Tidyr Package
Plotting
Chapter 10: GGPlot1: Basics
Chapter 11: GGPlot2: Bars & Boxes
Regression
Chapter 12: Linear & Multiple
Chapter 13: Ploting Interactions
Chapter 14: Moderation/Mediation
Chapter 15: Moderated-Mediation
Chapter 16: MultiLevel Models
Chapter 17: Mixed Models
Chapter 18: Mixed Assumptions Testing
Chapter 19: Logistic & Poisson
ANOVA
Chapter 20: Between-Subjects
Chapter 21: Within- & Mixed-Subjects
Advanced
Chapter 22: Correlations
Chapter 23: ARIMA
Chapter 24: Decision Trees
Chapter 25: Signal Detection
Apps
Chapter 26: Intro to Shiny
Chapter 27: ANOVA Variance