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

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