The R Statistical Environment is one of the most powerful, adaptable, and commonly used data mining, data analysis, and statistics software platforms in the world, but it does not have to be difficult to use. This book includes a brief introduction, complete line-by-line instructions, clear explanations, sample calculations, and multiple practice problems for performing linear regressions and related diagnostic procedures. Solutions are provided for each practice problem so that students can make sure they understand the process. A detailed table of contents, and a commands index, makes finding the desired topics easy, and each discussion is completely self-contained. Beginning statistics students, and veteran statisticians learning R, will want to keep this volume near at hand for quick reference.
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