9781461406846-1461406846-R for SAS and SPSS Users (Statistics and Computing)

R for SAS and SPSS Users (Statistics and Computing)

ISBN-13: 9781461406846
ISBN-10: 1461406846
Edition: 2nd ed. 2011
Author: Robert A. Muenchen
Publication date: 2011
Publisher: Springer
Format: Hardcover 714 pages
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Book details

ISBN-13: 9781461406846
ISBN-10: 1461406846
Edition: 2nd ed. 2011
Author: Robert A. Muenchen
Publication date: 2011
Publisher: Springer
Format: Hardcover 714 pages

Summary

R for SAS and SPSS Users (Statistics and Computing) (ISBN-13: 9781461406846 and ISBN-10: 1461406846), written by authors Robert A. Muenchen, was published by Springer in 2011. With an overall rating of 4.2 stars, it's a notable title among other Data Mining (Databases & Big Data, Graphics & Design, Graphics & Multimedia, Programming, Mathematical & Statistical, Software, Research, Psychology & Counseling, Research, Psychology, Methodology, Social Sciences) books. You can easily purchase or rent R for SAS and SPSS Users (Statistics and Computing) (Hardcover) from BooksRun, along with many other new and used Data Mining books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $2.95.

Description

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.

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