R for SAS and SPSS Users

Front Cover
Springer Science & Business Media, Aug 27, 2011 - Computers - 686 pages

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.

 

What people are saying - Write a review

We haven't found any reviews in the usual places.

Contents

1 Introduction
1
2 Installing and Updating R
11
3 Running R
21
4 Help and Documentation
53
5 Programming Language Basics
61
6 Data Acquisition
115
7 Selecting Variables
161
8 Selecting Observations
187
12 Generating Data
400
13 Managing Your Files and Workspace
417
14 Graphics Overview
441
15 Traditional Graphics
451
16 Graphics with ggplot2
521
17 Statistics
599
18 Conclusion
646
References
663

9 Selecting Variables and Observations
209
10 Data Management
218
11 Enhancing Your Output
375

Other editions - View all

Common terms and phrases

About the author (2011)

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.