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 Title: A Handbook of Statistical Analyses Using R
 Author(s) Brian S. Everitt, Torsten Hothorn
 Publisher: Chapman and Hall/CRC; 1 edition; eBook (Draft/Open Source Edition by CRAN/rproject.org)
 License(s): GPL2, GPL3
 Paperback: 304 pages
 eBook: PDF Files
 Language: English
 ISBN10: 1584884509
 ISBN13: 9781584884507
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Doing for R what Everitt's other Handbooks have done for SPLUS, STATA, SPSS, and SAS, A Handbook of Statistical Analyses Using R presents straightforward, selfcontained descriptions of how to perform a variety of statistical analyses in the R environment.
From simple inference to recursive partitioning and cluster analysis, eminent experts Everitt and Hothorn lead you methodically through the steps, commands, and interpretation of the results, addressing theory and statistical background only when useful or necessary.
They begin with an introduction to R, discussing the syntax, general operators, and basic data manipulation while summarizing the most important features. Numerous figures highlight R's strong graphical capabilities and exercises at the end of each chapter reinforce the techniques and concepts presented.
All data sets and code used in the book are available as a downloadable package from CRAN, the R online archive.
About the AuthorsN/A
 Statistics
 The R Programming Language
 Programming and Engineering Handbooks
 Data Analysis and Data Mining
 A Handbook of Statistical Analyses Using R (Brian S. Everitt, et al.)
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