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

Adler, Joseph

ISBN 10: 144931208X / ISBN 13: 9781449312084

Published by O'Reilly Media, 2012

About this Item

Seller Inventory # mon0003777953

Bibliographic Details

• Title: R in a Nutshell: A Desktop Quick Reference (In a Nutshell (O'Reilly))
• Publisher: O'Reilly Media
• Publication Date: 2012
• Language: English
• ISBN 10: 144931208X
• ISBN 13: 9781449312084
• Binding: Paperback
• Edition: 2nd Edition
• Condition: Very Good

About this title

Synopsis

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.