This is the second edition of the popular book on using R for statistical analysis and graphics. The authors, who run a popular blog supplementing their books, have focused on adding many new examples to this new edition. These examples are presented primarily in new chapters based on the following themes: simulation, probability, statistics, mathematics/computing, and graphics. The authors have also added many other updates, including a discussion of RStudio—a very popular development environment for R.
Chapter 1: Data input and output
Chapter 2: Data management
Chapter 3: Statistical and mathematical functions
Chapter 4: Programming and operating system interface
Chapter 5: Common statistical procedures
Chapter 6: Linear regression and ANOVA
Chapter 7: Regression generalizations and modeling
Chapter 8: A graphical compendium
Chapter 9: Graphical options and con guration
Chapter 10: Simulation
Chapter 11: Special topics
Chapter 12: Case studies
Appendix A: Introduction to R and RStudio
Appendix B: The HELP study dataset
Appendix C: References
