R for SAS and SPSS Users

  • Robert A. Muenchen

Part of the Statistics and Computing book series (SCO)

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Robert A Muenchen
    Pages 1-3
  3. Robert A Muenchen
    Pages 5-6
  4. Robert A Muenchen
    Pages 7-7
  5. Robert A Muenchen
    Pages 9-9
  6. Robert A Muenchen
    Pages 11-19
  7. Robert A Muenchen
    Pages 21-40
  8. Robert A Muenchen
    Pages 41-47
  9. Robert A Muenchen
    Pages 49-75
  10. Robert A Muenchen
    Pages 77-101
  11. Robert A Muenchen
    Pages 103-121
  12. Robert A Muenchen
    Pages 141-141
  13. Robert A Muenchen
    Pages 143-146
  14. Robert A Muenchen
    Pages 147-224
  15. Robert A Muenchen
    Pages 225-237
  16. Robert A Muenchen
    Pages 239-244
  17. Robert A Muenchen
    Pages 245-257
  18. Robert A Muenchen
    Pages 259-259
  19. Robert A Muenchen
    Pages 261-272
  20. Robert A Muenchen
    Pages 273-279
  21. Robert A Muenchen
    Pages 281-339
  22. Robert A Muenchen
    Pages 341-402
  23. Robert A Muenchen
    Pages 403-440
  24. Robert A Muenchen
    Pages 441-441
  25. Back Matter
    Pages 443-470

About this book




R is a powerful and free software system for data analysis and graphics, with over 1,200 add-on packages available. This book introduces R using SAS and SPSS terms with which you are already familiar. It demonstrates which of the add-on packages are most like SAS and SPSS and compares them to R's built-in functions. It steps through over 30 programs written in all three packages, comparing and contrasting the packages' differing approaches. The programs and practice datasets are available for download.

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


SAS SPSS STATISTICA coding data acquisition data analysis data structures programming programming language statistics

Authors and affiliations

  • Robert A. Muenchen
    • 1
  1. 1.Office of Information TechnologyUniversity of TennesseeKnoxvilleU.S.A.

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag New York 2009
  • Publisher Name Springer, New York, NY
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-0-387-09417-5
  • Online ISBN 978-0-387-09418-2
  • Series Print ISSN 1431-8784
  • Buy this book on publisher's site
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