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R in a Nutshell / Edition 1
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R in a Nutshell / Edition 1

by Joseph Adler
 

ISBN-10: 059680170X

ISBN-13: 9780596801700

Pub. Date: 01/11/2010

Publisher: O'Reilly Media, Incorporated

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

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

Product Details

ISBN-13:
9780596801700
Publisher:
O'Reilly Media, Incorporated
Publication date:
01/11/2010
Pages:
611
Product dimensions:
6.00(w) x 8.90(h) x 1.40(d)

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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