Beginning R, 2nd Edition

Contents at a Glance
About the Author .....................................................................................................xv
In Memoriam .........................................................................................................xvii
About the Technical Reviewer ................................................................................xix
Acknowledgments ..................................................................................................xxi
Introduction ..........................................................................................................xxiii
■■Chapter 1: Getting Star ted ..................................................................................... 1
■■Chapter 2: Dealing with Dates, Strings, and Data Frames ................................... 15
■■Chapter 3: Input and Output ................................................................................ 27
■■Chapter 4: Control Structures .............................................................................. 35
■■Chapter 5: Functional Programming ................................................................... 43
■■Chapter 6: Probability Distributions .................................................................... 53
■■Chapter 7: Working with Tables ........................................................................... 67
■■Chapter 8: Descriptive Statistics and Exploratory Data Analysis ........................ 73
■■Chapter 9: Working with Graphics ....................................................................... 81
■■Chapter 10: Traditional Statistical Methods ........................................................ 93
■■Chapter 11: Modern Statistical Methods ........................................................... 101
■■Chapter 12: Analysis of Variance ...................................................................... 111
■■Chapter 13: Correlation and Regression ............................................................ 121
■■Chapter 14: Multiple Regression ....................................................................... 139
■■Chapter 15: Logistic Regression ........................................................................ 163

vi
■ Contents at a Glance
■■Chapter 16: Modern Statistical Methods II ........................................................ 193
■■Chapter 17: Data Visualization Cookbook ......................................................... 215
■■Chapter 18: High-Performance Computing ........................................................ 279
■■Chapter 19: Text Mining .................................................................................... 303
Index ..................................................................................................................... 321