- Category: Computer
- Author: Brian S. Everitt, Torsten Hothorn
- Pages: 304 pages
- File type: PDF (Draft, 207 pages, 2.8 MB)
Read and download free eBook intituled A Handbook of Statistical Analyses Using R in format PDF (Draft, 207 pages, 2.8 MB) – 304 pages created by Brian S. Everitt, Torsten Hothorn.
Doing for R what Everitt’s other Handbooks have done for S-PLUS, STATA, SPSS, and SAS, A Handbook of Statistical Analyses Using R presents straightforward, self-contained 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, step-by-step guidance on how to use the software easily and effectively for nearly any statistical analysis.
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