R in a Nutshell - E-book - Multi-format

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