A Handbook of Statistical Analyses Using R

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From simple inference to recursive partitioning and cluster analysis, eminent experts Everitt and Hothorn lead readers methodically through the steps, commands, and interpretation of the results, addressing theory and statistical background only w

From simple inference to recursive partitioning and cluster analysis, eminent experts Everitt and Hothorn lead readers 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.

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