Authors:
- Uses clear, step-by-step demonstrations of every concept
- Uses SAS/SPSS terminology in narrative, Table of Contents, Index and Glossary
- Demonstrates which of over 5,000 add-on packages give the most SAS/SPSS-like output
- Includes supplementary material: sn.pub/extras
Part of the book series: Statistics and Computing (SCO)
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (18 chapters)
-
Front Matter
-
Back Matter
About this book
R is a powerful and free software system for data analysis and graphics, with over 5,000 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 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 new edition has updated programming, an expanded index, and even more statistical methods covered in over 25 new sections.
Reviews
From the reviews of the second edition:
“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)Authors and Affiliations
-
Office of Information Technology, Statistical Consulting Center, University of Tennessee, Knoxville, USA
Robert A. Muenchen
About the author
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.
Bibliographic Information
Book Title: R for SAS and SPSS Users
Authors: Robert A. Muenchen
Series Title: Statistics and Computing
DOI: https://doi.org/10.1007/978-1-4614-0685-3
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Science+Business Media, LLC 2011
Hardcover ISBN: 978-1-4614-0684-6Published: 26 July 2011
Softcover ISBN: 978-1-4939-3926-8Published: 23 August 2016
eBook ISBN: 978-1-4614-0685-3Published: 27 August 2011
Series ISSN: 1431-8784
Series E-ISSN: 2197-1706
Edition Number: 2
Number of Pages: XXVIII, 686
Topics: 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