R in A NutshellBook - 2012
In this update of the 2009 edition, Adler (senior data scientist, LinkedIn) introduces R as very good software for plotting graphics, analyzing data, and fitting statistical models using data that fits in the computer's memory. He also points out what this open-source software package is not useful for: e.g., working with large data files, storing data in complicated structures. Chapters include tips, examples, code, and further resources. The guide adds new chapters on ggplot2 and using R with Hadoop, new sections on useful tools for manipulating data in R (e.g., reshape and plyr), and updates to reflect changes in R 2.14 and R 2.15. Annotation ©2013 Book News, Inc., Portland, OR (booknews.com)
Ingram Publishing Services
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