R for SAS and SPSS Users

✍ Scribed by Robert A. Muenchen (auth.)

• Publisher: Springer New York
• Year: 2009
• Tongue: English
• Leaves: 467
• Series: Statistics and Computing
• Edition: 1
• Category: Library

✦ Synopsis

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. "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

✦ Table of Contents

Front Matter....Pages i-xvii
Introduction....Pages 1-3
The Five Main Parts of SAS and SPSS....Pages 5-6
Programming Conventions....Pages 7-7
Typographic Conventions....Pages 9-9
Installing and Updating R....Pages 11-19
Help and Documentation....Pages 21-40
Programming Language Basics programming syntaxprogramming syntax ....Pages 41-47
Data Acquisition....Pages 49-75
Selecting Observations – Where, If, Select If, Filter....Pages 77-101
Selecting Both Variables and Observations....Pages 103-121
Converting Data Structures....Pages 123-140
Data Management....Pages 141-141
Value Labels or Formats (and Measurement Level)....Pages 143-146
Variable Labels....Pages 147-224
Generating Data....Pages 225-237
How R Stores Data....Pages 239-244
Statistics....Pages 245-257
Conclusion....Pages 259-259
Back Matter....Pages 261-272
....Pages 273-279

✦ Subjects

Statistics and Computing/Statistics Programs; Probability and Statistics in Computer Science; Data Mining and Knowledge Discovery; Computer Graphics; Psychological Methods/Evaluation; Methodology of the Social Sciences