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

### Product Features

- Used Book in Good Condition

wait for the errata to fill in before buyingBefore buying, look at the book description at the publisher’s website (oreilly.com) and click on the “errata” link. Check to see how long that list is. If you can live with cross-referencing this list with the book, then buy it. Otherwise, there are probably better books out there.As it is, I am somewhat proficient in R and bought this book as a crash course for a better understanding of the basics, especially the graphics and statistics. After barrelling through roughly half of…Solid book, covers broad areas, maybe too much on programmingI bought the 1st edition and this one is just as good. Generally he uses straightforward examples and provides enough detail to “make it work.” So, for example, with just a few pages of reading I can understand how to technically get decision trees to work in R. For the general reader I think Adler spends way too much time on object programming concepts and the behind the scenes structure of R. It would be nice to have time for theoretical detours like he uses but for those of us who are…