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The provides a collection of concise examples with solutions and interpretations of R problems frequently encountered by new users of this statistical software. The contains numerous examples that illustrate a specific situation, topic, or problem, including data importing, data management, classical statistical analyses, and high-quality graphical production. Each example is self-contained and includes R code that can be run exactly as shown, enabling results from the book to be replicated. New to the Second Edition: • Completely revised and updated with suggestions for using new and improved R packages • Expanded with over 100 more pages • New solutions for covering areas from web scraping over data wrangling to waffle plots and hanging rootograms. • Additional intermediate and advanced topics in statistical data analysis including non-parametric statistics, random forests, penalized regression and curve smoothing. The site contains source code, extra material and errata.

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Summary • Presents commonly encountered problems and solutions in R in a “cookbook” style • Covers importing and transforming data, making statistical analyses, and creating graphics • Provides an ideal introduction for beginning users of R • Includes code for all examples “This book provides a good introduction to R, using a clear layout and detailed, reproducible examples. An ideal tool for any new R user. A wide range of topics are covered, making the book suitable for a variety of readers, from undergraduate students to professionals new to R an extremely helpful introduction to a very useful statistical package.” • Claire Keeble, Journal of Applied Statistics, 2012.