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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-xxviii
  2. Robert A. Muenchen
    Pages 1-9
  3. Robert A. Muenchen
    Pages 11-20
  4. Robert A. Muenchen
    Pages 21-52
  5. Robert A. Muenchen
    Pages 53-60
  6. Robert A. Muenchen
    Pages 61-114
  7. Robert A. Muenchen
    Pages 115-160
  8. Robert A. Muenchen
    Pages 161-186
  9. Robert A. Muenchen
    Pages 187-208
  10. Robert A. Muenchen
    Pages 209-217
  11. Robert A. Muenchen
    Pages 219-373
  12. Robert A. Muenchen
    Pages 375-399
  13. Robert A. Muenchen
    Pages 401-416
  14. Robert A. Muenchen
    Pages 417-439
  15. Robert A. Muenchen
    Pages 441-450
  16. Robert A. Muenchen
    Pages 451-520
  17. Robert A. Muenchen
    Pages 521-598
  18. Robert A. Muenchen
    Pages 599-645
  19. Robert A. Muenchen
    Pages 647-661
  20. Back Matter
    Pages 663-686

About this book

Introduction

R is a powerful and free software system for data analysis and graphics, with over 4,000 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 50 programs written in all three packages, comparing and contrasting the packages' differing approaches.

The glossary defines R terms using SAS/SPSS terminology and again using R terminology. The table of contents and the index allow you to find equivalent R functions by looking up both SAS statements and SPSS commands. The second edition adds 216 pages of new topics.

 "I found the book extremely helpful…The material is laid out in a way that makes it very accessible. Because of this I recommend this book to any R user regardless of his or her familiarity with SAS or SPSS...For new R users it will demystify many aspects, and for existing R users it will have many answers to those questions you have been too afraid to ask in public."

--The American Statistician

 "… an excellent introduction to R…the book meticulously covers data management, data structures, programming, graphics and basic statistical analysis in R. The prose is clear, the examples tied to their SPSS and SAS analogs. The handling of both traditional and newer “ggplot2” graphics is comprehensive: SPSS and SAS users will undoubtedly find lots to like. "

--Information Management 

 "As a long time SAS user this book makes the task of transition to R much more palatable and appealing. It also greatly reduces the time to get up and running in R effectively."

--Technometrics

“It is great to see this book in a second edition. It serves nicely as an introduction to R, irrespective of whether they are familiar with SAS or SPSS. I have long been a fan of programming by example and the book is full of excellent ones.”

--Graham Williams, Author, Data Mining with Rattle and R: The Art of Excavating Data for Knowledge Discovery

Keywords

R SAS SPSS computing open source

Authors and affiliations

  • Robert A. Muenchen
    • 1
  1. 1.Office of Information Technology, Statistical Consulting CenterUniversity of TennesseeKnoxvilleUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4614-0685-3
  • Copyright Information Springer Science+Business Media, LLC 2011
  • Publisher Name Springer, New York, NY
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-1-4614-0684-6
  • Online ISBN 978-1-4614-0685-3
  • Series Print ISSN 1431-8784
  • Buy this book on publisher's site