R for SAS and SPSS users

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'...

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第一著者: Muenchen, Robert A., 19..-
フォーマット: Livre numérique
言語:Anglais
出版事項: New York, NY : Springer New York 2009.
Cham : Springer Nature
シリーズ:Statistics and Computing
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Numerisation de l'édition de : [s.l.] : Springer science + Business Media. 2009
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Archives Springer e-books (Licence nationale)
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Edition sous un autre format:• R for SAS and SPSS Users, Texte imprimé, 9781441918543
• R for SAS and SPSS Users, Texte imprimé, 9780387094175
• Fundamentals of electronic imaging systems, some aspects of image processing, William F. Schreiber, 3rd ed., 1986, Berlin, Springer, 1 vol. (XIX-332 p.), Springer series in information sciences, 3-540-56018-1
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505 0 |a 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. 
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520 |a 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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