R for SAS and SPSS Users

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Springer Science & Business Media, Mar 2, 2009 - Computers - 470 pages
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While SAS and SPSS have many things in common, R is very different. My goal in writing this book is to help you translate what you know about SAS or SPSS into a working knowledge of R as quickly and easily as possible. I point out how they differ using terminology with which you are familiar, and show you which add-on packages will provide results most like those from SAS or SPSS. I provide many example programs done in SAS, SPSS, and R so that you can see how they compare topic by topic. When finished, you should be able to use R to: Read data from various types of text files and SAS/SPSS datasets. Manage your data through transformations or recodes, as well as splitting, merging and restructuring data sets. Create publication quality graphs including bar, histogram, pie, line, scatter, regression, box, error bar, and interaction plots. Perform the basic types of analyses to measure strength of association and group differences, and be able to know where to turn to cover much more complex methods.
 

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Contents

Generating Data
245
How R Stores Data
258
Managing Your Files and Workspace
261
Graphics Overview
273
Traditional Graphics
281
Graphics with ggplot2 GPL
341
Statistics
403
Conclusion
441

Data Acquisition
77
Selecting Variables Var Variables
103
Selecting Observations Where If Select If Filter
123
Selecting Both Variables and Observations
141
Converting Data Structures
143
Data Management
147
Value Labels or Formats and Measurement Level
225
Variable Labels
239
Appendix A A Glossary of R Jargon
443
Appendix B A Comparison of SAS and SPSS Products with R Packages and Functions
449
Appendix C Automating Your Settings
453
Appendix D
457
Bibliography
459
Index
463
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