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