Description
If you’re taking into consideration R for statistical computing and data visualization, this book provides a quick and practical guide to with regards to the whole thing you’ll be able to do with the open source R language and software environment. You’ll discover ways to write R functions and use R packages that can assist you prepare, visualize, and analyze data. Creator Joseph Adler illustrates every 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 began 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 find out 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