R for SAS and SPSS Users [electronic resource] / by Robert A. Muenchen.

By: Muenchen, Robert A [author.]
Contributor(s): SpringerLink (Online service)
Material type: TextTextSeries: Statistics and Computing: Publisher: New York, NY : Springer New York, 2009Description: XVIII, 470 p. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9780387094182Subject(s): Mathematics | Mathematical statistics | Data mining | Computer graphics | Computer software | Statistics | Psychology -- Methodology | Psychological measurement | Mathematics | Mathematical Software | Statistics and Computing/Statistics Programs | Probability and Statistics in Computer Science | Data Mining and Knowledge Discovery | Computer Graphics | Psychological Methods/EvaluationAdditional physical formats: Printed edition:: No titleDDC classification: 004 LOC classification: QA76.75-76.765Online resources: Click here to access online
Contents:
The Five Main Parts of SAS and SPSS -- Programming Conventions -- Typographic Conventions -- Installing and Updating R -- Running Rrunning R running R -- Help and Documentation -- Programming Language Basicsprogramming syntaxprogramming syntax -- Data Acquisition -- Selecting Variables variables selecting – Var, Variables= -- Selecting Observations – Where, If, Select If, Filter -- Selecting Both Variables and Observations -- Converting Data Structures -- Data Management -- Value Labels or Formats (and Measurement Level) -- Variable Labels -- Generating Data -- How R Stores Data -- Managing Your Files and Workspace workspace managing -- Graphics Overviewgraphicsgraphics overview -- Traditional Graphics graphics graphics traditional -- Graphics with ggplot2 (GPL) graphics graphics Grammar of Graphics -- Statistics -- Conclusion.
In: Springer eBooksSummary: 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'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. 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. "This is a really great book. It is easy to read, quite comprehensive, and would be extremely valuable to both regular R users and users of SAS and SPSS who wish to switch to or learn about R…An invaluable reference." - David Hitchcock, University of South Carolina "Thanks for writing R for SAS and SPSS Users--it is a comprehensible and clever document. The graphics chapter is superb!" - Tony N. Brown, Vanderbilt University "This is a Rosetta Stone for SPSS and SAS users to start learning R quickly and effectively." - Ralph O'Brien, ASA Fellow "I am a professional SAS and SPSS programmer and found this book extremely useful." - Tony Chu, Public Policy Research Data Analyst.
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The Five Main Parts of SAS and SPSS -- Programming Conventions -- Typographic Conventions -- Installing and Updating R -- Running Rrunning R running R -- Help and Documentation -- Programming Language Basicsprogramming syntaxprogramming syntax -- Data Acquisition -- Selecting Variables variables selecting – Var, Variables= -- Selecting Observations – Where, If, Select If, Filter -- Selecting Both Variables and Observations -- Converting Data Structures -- Data Management -- Value Labels or Formats (and Measurement Level) -- Variable Labels -- Generating Data -- How R Stores Data -- Managing Your Files and Workspace workspace managing -- Graphics Overviewgraphicsgraphics overview -- Traditional Graphics graphics graphics traditional -- Graphics with ggplot2 (GPL) graphics graphics Grammar of Graphics -- Statistics -- Conclusion.

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'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. 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. "This is a really great book. It is easy to read, quite comprehensive, and would be extremely valuable to both regular R users and users of SAS and SPSS who wish to switch to or learn about R…An invaluable reference." - David Hitchcock, University of South Carolina "Thanks for writing R for SAS and SPSS Users--it is a comprehensible and clever document. The graphics chapter is superb!" - Tony N. Brown, Vanderbilt University "This is a Rosetta Stone for SPSS and SAS users to start learning R quickly and effectively." - Ralph O'Brien, ASA Fellow "I am a professional SAS and SPSS programmer and found this book extremely useful." - Tony Chu, Public Policy Research Data Analyst.

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