Overview

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 ...

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R in a Nutshell

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Overview

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
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Product Details

  • ISBN-13: 9781449358228
  • Publisher: O'Reilly Media, Incorporated
  • Publication date: 9/26/2012
  • Sold by: Barnes & Noble
  • Format: eBook
  • Edition number: 2
  • Pages: 724
  • Sales rank: 844,286
  • File size: 11 MB
  • Note: This product may take a few minutes to download.

Meet the Author

Joseph Adler has many years of experience in data mining and data analysis at companies including DoubleClick, American Express, and VeriSign. He graduated from MIT with an Sc.B and M.Eng in Computer Science and Electrical Engineering from MIT. He is the inventor of several patents for computer security and cryptography, and the author of Baseball Hacks. Currently, he is a senior data scientist at LinkedIn.

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Table of Contents

Preface


R Basics


Chapter 1: Getting and Installing R


Chapter 2: The R User Interface


Chapter 3: A Short R Tutorial


Chapter 4: R Packages




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




Working with Data


Chapter 11: Saving, Loading, and Editing Data


Chapter 12: Preparing Data




Data Visualization


Chapter 13: Graphics


Chapter 14: Lattice Graphics


Chapter 15: ggplot2




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




Additional Topics


Chapter 24: Optimizing R Programs


Chapter 25: Bioconductor


Chapter 26: R and Hadoop




R Reference


Bibliography


Colophon

Joseph Adler has many years of experience in data mining and data analysis at companies including DoubleClick, American Express, and VeriSign. He graduated from MIT with an Sc.B and M.Eng in Computer Science and Electrical Engineering from MIT. He is the inventor of several patents for computer security and cryptography, and the author of Baseball Hacks. Currently, he is a senior data scientist at LinkedIn.

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