The glossary defines over 50 R terms using SAS/SPSS jargon and again using R jargon. The table of contents and the index allow you to find equivalent R functions by looking up both SAS statements and SPSS commands. When finished, you will be able to import data, manage and transform it, create publication quality graphics, and perform basic statistical analyses.
Robert A. Muenchen is the manager of the Statistical Consulting Center at the University of Tennessee and has 28 years of experience as a consulting statistician. He has served on the advisory boards of SPSS Inc. and the Statistical Graphics Corporation.
"This is a really great book. It is easy to read, quite comprehensive, and would be extremely valuable to both regular R users and users of SAS and SPSS who wish to switch to or learn about R...An invaluable reference."
- David Hitchcock, University of South Carolina
"Thanks for writing R for SAS and SPSS Users--it is a comprehensible and clever document. The graphics chapter is superb!"
- Tony N. Brown, Vanderbilt University
"This is a Rosetta Stone for SPSS and SAS users to start learning R quickly and effectively."
- Ralph O'Brien, ASA Fellow
"I am a professional SAS and SPSS programmer and found this book extremely useful."
- Tony Chu, Public Policy Research Data Analyst
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"This is a greatly expanded second edition of a text that has already proved widely popular. The explanation is careful and detailed. It uses SAS and SPSS terminology, matching it with R terminology ... . A glossary translates R terminology into terminology that is likely to be more familiar to SAS and SPSS users. ... a wide-ranging and carefully compiled source of information on R. It is a strongly recommended addition to the library of anyone who comes to R from SAS or SPSS." (John H. Maindonald, International Statistical Review, Vol. 80 (1), 2012)