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

�ber die Autorin bzw. den Autor:

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.

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