# R in a Nutshell, 2nd Edition

If you’re considering R for statistical computing and data visualization, this book provides a quick and practical guide to just about everything you can do with the open source R language and software environment. You’ll learn how to write R functions and use R packages to help you prepare, visualize, and analyze data. Author Joseph Adler illustrates each process with a wealth of examples from medicine, business, and sports.

Updated for R 2.14 and 2.15, this second edition includes new and expanded chapters on R performance, the ggplot2 data visualization package, and parallel R computing with Hadoop.

- Get started quickly with an R tutorial and hundreds of examples
- Explore R syntax, objects, and other language details
- Find thousands of user-contributed R packages online, including Bioconductor
- Learn how to use R to prepare data for analysis
- Visualize your data with R’s graphics, lattice, and ggplot2 packages
- Use R to calculate statistical fests, fit models, and compute probability distributions
- Speed up intensive computations by writing parallel R programs for Hadoop
- Get a complete desktop reference to R

**Table of Contents**

Part I: R Basics

Chapter 1. Getting and Installing R

Chapter 2. The R User Interface

Chapter 3. A Short R Tutorial

Chapter 4. R Packages

Part II: The R Language

Chapter 5. An Overview of the R Language

Chapter 6. R Syntax

Chapter 7. R Objects

Chapter 8. Symbols and Environments

Chapter 9. Functions

Chapter 10. Object-Oriented Programming

Part III: Working with Data

Chapter 11. Saving, Loading, and Editing Data

Chapter 12. Preparing Data

Part IV: Data Visualization

Chapter 13. Graphics

Chapter 14. Lattice Graphics

Chapter 15. ggplot2

Part V: Statistics with R

Chapter 16. Analyzing Data

Chapter 17. Probability Distributions

Chapter 18. Statistical Tests

Chapter 19. Power Tests

Chapter 20. Regression Models

Chapter 21. Classification Models

Chapter 22. Machine Learning

Chapter 23. Time Series Analysis

Part VI: Additional Topics

Chapter 24. Optimizing R Programs

Chapter 25. Bioconductor

Chapter 26. R and Hadoop

### Book Details

**Paperback:**724 pages**Publisher:**O’Reilly Media; 2nd Edition (September 2012)**Language:**English**ISBN-10:**144931208X**ISBN-13:**978-1449312084

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