Table of Content
Chapter 1: Getting R
Chapter 2: The R Environment
Chapter 3: R Packages
Chapter 4: Basics of R
Chapter 5: Advanced Data Structures
Chapter 6: Reading Data into R
Chapter 7: Statistical Graphics
Chapter 8: Writing R functions
Chapter 9: Control Statements
Chapter 10: Loops, the Un-R Way to Iterate
Chapter 11: Group Manipulation
Chapter 12: Faster Group Manipulation with dplyr
Chapter 13: Iterating with purrr
Chapter 14: Data Reshaping
Chapter 15: Reshaping Data in the Tidyverse
Chapter 16: Manipulating Strings
Chapter 17: Probability Distributions
Chapter 18: Basic Statistics
Chapter 19: Linear Models
Chapter 20: Generalized Linear Models
Chapter 21: Model Diagnostics
Chapter 22: Regularization and Shrinkage
Chapter 23: Nonlinear Models
Chapter 24: Time Series and Autocorrelation
Chapter 25: Clustering
Chapter 26: Model Fitting with Caret
Chapter 27: Reproducibility and Reports with knitr
Chapter 28: Rich Documents with RMarkdown
Chapter 29: Interactive Dashboards with Shiny
Chapter 30: Building R Packages
Appendix A: Real-Life Resources