Content: Front Cover; Contents; List of Tables; List of Figures; Preface to the second edition; Preface to the rst edition; 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 RStudioAppendix B: The HELP study dataset; Appendix C: References; Back Cover
Abstract:
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.