R in a Nutshell / Edition 1

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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: 9780596801700
  • Publisher: O'Reilly Media, Incorporated
  • Publication date: 1/11/2010
  • Edition number: 1
  • Pages: 611
  • Product dimensions: 6.00 (w) x 8.90 (h) x 1.40 (d)

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

  • Chapter 11: High-Performance R
Working with Data

  • Chapter 12: Saving, Loading, and Editing Data

  • Chapter 13: Preparing Data

  • Chapter 14: Graphics

  • Chapter 15: Lattice Graphics
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

  • Chapter 24: Bioconductor
R Reference Bibliography...
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Sort by: Showing all of 7 Customer Reviews
  • Anonymous

    Posted January 26, 2010

    Great

    This book is great for any student, professional, or scholar who is starting out in R or is an intermediate R user who wants to know more. Joseph Adler does a great overview of what there is to offer. I used Stata for more than 5 years and finally made the switch. This book helped me realize how powerful R really is.

    I would not recommend this book to general readers or to R experts. The only place I did not give 5 stars is "General Readers". This book gives more details than a casual R user would need. Note that this book is not as in-depth as you could find for R. For example, Software for Data Analysis: Programming with R (Statistics and Computing) by Chambers is incredible if you want to know everything about R and get great programming intuition.

    For the complete beginners, I would recommend you just go to <a href="http://www.google.com">google</a> and search for material on R. There is also a website specialized in searching for R (because it is difficult to search for a letter): http://www.rseek.org. And of course there are great manuals at the home page of R: www.r-project.org

    2 out of 2 people found this review helpful.

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  • Anonymous

    Posted December 6, 2011

    R in a Nutshell gets you started

    This book has both tutorial information and reference material. Like other O'Reilly in a Nutshell volumes, its purpose is to get you started and have a handy paper reference. While you can do both of these with various web sites, R in a Nutshell makes it convenient and assures a basic comprehensive coverage.

    1 out of 1 people found this review helpful.

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  • Posted July 18, 2011

    cheaper on amazon

    It's $9 cheaper on amazon for kindle than for the nook. Why?

    1 out of 1 people found this review helpful.

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  • Anonymous

    Posted March 2, 2010

    Statistics Using R.

    This book is very thorough and is very useful for anyone who enters into a profession in which math is required. Those who major in statistics should use R; thus, this book should be recommended. I hope in time 'R in a Nutshell' will still be accurate, as the R software is updated.

    KP in Michigan.

    1 out of 1 people found this review helpful.

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    Posted April 10, 2010

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    Posted August 27, 2013

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    Posted July 23, 2011

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