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Using a range of examples, this introduction illustrates how R can be employed to tackle statistical problems. It covers one-sample analysis and distribution diagnostics, regression, two-sample problems and comparison of distributions, and multivariate analysis. In addition, the handy appendix includes a collection of R language elements and functions, serving as a quick reference and starting point to access the rich information that comes bundled with R. Helping readers become familiar with R, the author offers the full R source code for all examples, selected solutions, and other ancillary material on the book's website.
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