R in a Nutshell

A Desktop Quick Reference

Nonfiction, Computers, Advanced Computing, Programming, Data Modeling & Design, Database Management, Data Processing, Application Software
Cover of the book R in a Nutshell by Joseph Adler, O'Reilly Media
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Author: Joseph Adler ISBN: 9781449358228
Publisher: O'Reilly Media Publication: September 26, 2012
Imprint: O'Reilly Media Language: English
Author: Joseph Adler
ISBN: 9781449358228
Publisher: O'Reilly Media
Publication: September 26, 2012
Imprint: O'Reilly Media
Language: English

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
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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