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

Ken Kleinman and Nicholas J. Horton

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This book shows how equivalent statistical methods can be applied in either SAS or R, enabling users of each software package to learn how to apply the methods in the other. It covers data management, simple statistical procedures, modeling and regression, and graphics. Each section begins with a brief introduction to the procedures and then presents the code for each software side-by-side. The book provides detailed worked examples together with output from the software to illustrate how the methods are applied in practice. It also includes an index for both SAS and R, which will be useful to a wide range of users.

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Last updated August 17, 2009