Angielski
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
