Robert A. Muenchen

R for SAS and SPSS Users

• Gebundenes Buch

Produktbeschreibung

This book introduces R using SAS and SPSS terms. It demonstrates which of the add-on packages are most like SAS and SPSS and compares them to R's built-in functions. It compares and contrasts the differing approaches of all three packages.

Produktdetails

• Statistics and Computing
• Verlag: Springer, Berlin
• Seitenzahl: 470
• Erscheinungstermin: 28. November 2008
• Englisch
• Abmessung: 245mm
• Gewicht: 794g
• ISBN-13: 9780387094175
• ISBN-10: 0387094172
• Artikelnr.: 23812489

Inhaltsangabe

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.

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Introduction.- Installing and Updating R.- Running R.- Help and Documentation.- Programming Language Basics.- Data Acquisition.- Selecting Variables.- Selecting Observations.- Selecting Variables and Observations.- Data Management.- Enhancing Your Output.- Generating Data.- Managing Your Files and Workspace.- Graphics Overview.- Traditional Graphics- Graphics with ggplot2.- Statistics.- Conclusion.

Rezensionen

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)