R for SAS and SPSS Users

• Main Author: Muenchen, Robert A. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic
• Language: English
• Published: New York, NY : Springer New York, 2009.
• Series: Statistics and Computing,
• Subjects: Statistics.; Computer science.; Data mining.; Computer graphics.; Mathematical statistics.; Social sciences > Methodology.; Psychological tests and testing.; 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.
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-0-387-09418-2

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'...

Table of Contents:

• Introduction. The five main parts of SAS and SPSS
• Programming conventions
• Typographic conventions
• Installing & updating R
• Running R
• Help and documentation
• Programming language basics
• Data Acquisition
• Selecting Variables - Var, Variables
• Selecting observations - where, if select if, filter
• Selecting both variables and observations
• Converting data structures
• Data management
• Recoding variables. Value labels or formats (& measurement level)
• Variable labels
• Generating data
• How R stores data
• Managing your files and workspace
• Graphics overview
• Traditional graphics
• The ggplot2 package
• Statistics
• Summary
• Conclusion
• Appendix A
• Appendix B
• Appendix C
• Bibliography.