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R in a Nutshell: A Desktop Quick Reference (In a Nutshell (O'Reilly))

R in a Nutshell: A Desktop Quick Reference (In a Nutshell (O'Reilly))

R in a Nutshell: A Desktop Quick Reference (In a Nutshell (O'Reilly))
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R in a Nutshell: A Desktop Quick Reference (In a Nutshell (O'Reilly)) Paperback - 2012

by Joseph Adler

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"R in a Nutshell" provides a quick and practical way to learn this increasingly popular open source language and environment. Readers will not only learn how to program in R, but also how to find the right user-contributed R packages for statistical modeling, visualization, and bioinformatics.

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O'Reilly Media. Used - Good. Good condition. 2nd edition. A copy that has been read but remains intact. May contain markings such as bookplates, stamps, limited notes and highlighting, or a few light stains.
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Details

  • Title R in a Nutshell: A Desktop Quick Reference (In a Nutshell (O'Reilly))
  • Author Joseph Adler
  • Binding Paperback
  • Edition [ Edition: Secon
  • Condition Used - Good
  • Pages 721
  • Volumes 1
  • Language ENG
  • Publisher O'Reilly Media, n
  • Publication date 2012-11-13
  • Features Bibliography, Illustrated, Index, Price on Product - Canadian, Table of Contents
  • Bookseller's Inventory # V16K-00674
  • ISBN 9781449312084 / 144931208X
  • Weight 2.05 lbs (0.93 kg)
  • Dimensions 9 x 6 x 1.6 in (22.86 x 15.24 x 4.06 cm)
  • Category Computers - Other Applications
  • Library of Congress subjects Mathematical statistics - Data processing, R (Computer program language)
  • Dewey Decimal Code 519.502

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Reader reviews for R in a Nutshell: A Desktop Quick Reference (In a Nutshell (O'Reilly))

From the publisher

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

About 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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