SAS and R: Data Management, Statistical Analysis, and Graphics

Ken Kleinman, Nicholas J. Horton

July 21, 2009 by Chapman and Hall/CRC
Reference - 343 Pages - 32 B/W Illustrations
ISBN 9781420070576 - CAT# C7057

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CRC Press Authors Speak: Nick Horton
  • Presents a broad set of data management, analysis, and graphical tasks in SAS and R
  • Provides parallel examples in SAS and R to demonstrate how to use the software and derive identical answers regardless of software choice
  • Gives insight into the process of statistical coding from beginning to end by supplying worked examples of complex coding tasks
  • Contains gentle introductions to complex issues and stumbling blocks new users encounter
  • Covers the ODS and new graphics of SAS 9.2
  • Includes an index for each software, allowing users to easily locate procedures
  • Offers the SAS and R data sets and code available online


An All-in-One Resource for Using SAS and R to Carry out Common Tasks

Provides a path between languages that is easier than reading complete documentation
SAS and R: Data Management, Statistical Analysis, and Graphics presents an easy way to learn how to perform an analytical task in both SAS and R, without having to navigate through the extensive, idiosyncratic, and sometimes unwieldy software documentation. The book covers many common tasks, such as data management, descriptive summaries, inferential procedures, regression analysis, and the creation of graphics, along with more complex applications.

Takes an innovative, easy-to-understand, dictionary-like approach
Through the extensive indexing, cross-referencing, and worked examples in this text, users can directly find and implement the material they need. The book enables easier mobility between the two systems: SAS users can look up tasks in the SAS index and then find the associated R code while R users can benefit from the R index in a similar manner. Demonstrating the code in action and facilitating exploration, the authors present extensive example analyses that employ a single data set from the HELP study. They offer the data sets and code for download on the book’s website.