Preface
Part Ⅰ. R Basics
  1. Getting and Installing R
  R Versions
  Getting and Installing Interactive R Binaries
  Windows
  Mac OS X
  Linux and Unix Systems
  2. The R Userlnterface
  The R Graphical User Interface
  Windows
  Mac OS X
  Linux and Unix
  The R Console
  Command-Line Editing
  Batch Mode
  Using R Inside Microsoft Excel
  RStudio
  Other Ways to Run R
  3. AShort RTutorial
  Basic Operations in R
  Functions
  Variables
  Introduction to Data Structures
  Objects and Classes
  Models and Formulas
  Charts and Graphics
  Getting Help
4. R Packages
  An Overview of Packages
  Listing Packages in Local Libraries
  Loading Packages
  Loading Packages on Windows and Linux
  Loading Packages on Mac OS X
  Exploring Package Repositories
  Exploring R Package Repositories on the Web
  Finding and Installing Packages Inside R
  Installing Packages From Other Repositories
  Custom Packages
  Creating a Package Directory
  Building the Package
Part Ⅱ. The R Language
5. An Overview of the R Language
  Expressions
  Objects
  Symbols
  Functions
  Objects Are Copied in Assignment Statements
  Everything in R Is an Object
  Special Values
  NA
  Inf and -Inf
  NaN
  NULL
  Coercion
  The R Interpreter
  Seeing How R Works
6. R Syntax
  Constants
  Numeric Vectors
  Character Vectors
  Symbols
  Operators
  Order of Operations
……
7. R Objects
8. Symbols and Environments
9. Functions.
10. Object-Oriented Programming
Part Ⅲ. Working with Data
11. Saving, Loading, and Editing Data
12. Preparing Data
Part Ⅳ. Data Visualization
13. Graphics
14. Lattice Graphics
15. ggplot2
Part Ⅴ. Statistics with R
16. Analyzing Data
17. Probability Distributions
18. Statistical Tests
19. Power Tests
20. Regression Models
21. Classification Models
22. Machine Learning
23. Time Series Analysis
Part Ⅵ. Additional Topics
24. Optimizing R Programs
25. Bioconductor
26. Rand Hadoop
Appendix: R Reference
Bibliography
Index