If you’re considering R for statisticalcomputing and data visualization, this book provides a quick and practicalguide to just about everything you can do with the open source R language andsoftware environment. You’ll learn how to write R functions and use R packagesto help you prepare, visualize, and analyze data. Author Joseph Adlerillustrates each process with a wealth of examples from medicine, business, andsports.
Updated for R 2.14 and 2.15, thissecond edition includes new and expanded chapters on R performance, the ggplot2data 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
