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 years of experience working with lots of popular data mining packages, including databases (including Oracle, PostgreSQL, and MS Access), statistical analysis tools (SAS, SPSS, S-Plus, and R), and data mining tools (SAS Enterprise Miner, Insightful Miner, Oracle Data Mining, Weka, and SPSS Clementine). He is currently leading a project at Verisign to pick a data mining package for enterprise deployment.