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
Download [17.0 MiB]

You may also like...

No Responses

  1. marco619 says:

    Thanks very much to you !!!! 😉

Leave a Reply