Previous edition: Sebastapol, Calif.: O'Reilly, 2010. Includes bibliographical references and index. "A desktop quick reference"--Cover.

'R in a Nutshell' is the best way to learn R, a powerful open source tool for data visualization & statistical computing - ideal as a replacement for expensive statistical packages. Practical & easy to read, the book provides a thorough overview of the language, along with a reference to the most commonly used features. R BASICS. Getting and installing R -- The R user interface -- A short R tutorial -- R packages -- THE R LANGUAGE. An overview of the R language -- R syntax -- R objects -- Symbols and environments -- Functions -- Object-oriented programming -- WORKING WITH DATA. Saving, loading, and editing data -- Preparing data -- DATA VISUALIZATION. Graphics -- Lattice graphics -- ggplot2 -- STATISTICS WITH R. Analyzing data -- Probability distributions -- Statistical tests -- Power tests -- Regression models -- Classification models -- Machine learning -- Time series analysis -- ADDITIONAL TOPICS. Optimizing R programs -- Bioconductor -- R and Hadoop -- Appendix: R reference.