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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 (February 17, 2006)
 Paperback: 304 pages
 eBook: PDF (Draft, 207 pages, 2.8 MB)
 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.
A Handbook of Statistical Analyses Using R is the perfect guide for newcomers as well as seasoned users of R who want concrete, stepbystep guidance on how to use the software easily and effectively for nearly any statistical analysis.
About the AuthorsN/A
 The R Programming Language
 Statistics, and SAS Programming
 Data Analysis and Data Mining
 Geographic Information System (GIS) and Web Mapping
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