"R in a Nutshell" is the best way to learn R, a powerful open source tool for data visualization and statistical computing - ideal as a replacement for statistical packages costing thousands of dollars. Practical and easy to read, the book provides a thorough overview of the language, along with a reference to the most commonly used features. You'll quickly discover why R has become increasingly popular for analyzing data sets of any size. Learn how to use R to solve complex, real-world statistical problems. Explore R's superior graphical capabilities, which let you control and manipulate every detail of your graphs. Take advantage of the large, robust library of contributed packages, including a vast number of statistical techniques and algorithms. Also learn how to run R on your desktop, from within Excel or on a shared server. This is the first affordable, comprehensive reference book on R. Whether you analyze business data or conduct scientific research, R lets you perform statistical analysis in minutes that would take hours with Excel. "R in a Nutshell" shows you how.

About the Author

Joseph Adler has years of experience working with lots of popular data mining packages, including databases (including Oracle, PostgreSQL, and MS Access), statistical analysis tools (SAS, SPSS, S-Plus, and R), and data mining tools (SAS Enterprise Miner, Insightful Miner, Oracle Data Mining, Weka, and SPSS Clementine). He is currently leading a project at Verisign to pick a data mining package for enterprise deployment.