R in A Nutshell

R in A Nutshell

Book - 2012
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In this update of the 2009 edition, Adler (senior data scientist, LinkedIn) introduces R as very good software for plotting graphics, analyzing data, and fitting statistical models using data that fits in the computer's memory. He also points out what this open-source software package is not useful for: e.g., working with large data files, storing data in complicated structures. Chapters include tips, examples, code, and further resources. The guide adds new chapters on ggplot2 and using R with Hadoop, new sections on useful tools for manipulating data in R (e.g., reshape and plyr), and updates to reflect changes in R 2.14 and R 2.15. Annotation ©2013 Book News, Inc., Portland, OR (booknews.com)

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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

Publisher: Sebastopol, CA : O'Reilly, c2012
Edition: 2nd ed
ISBN: 9781449312084
Characteristics: xix, 699 : ill. ; 23 cm


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