Focusing on developing practical R skills rather than teaching pure statistics, Dr. Kurt Taylor Gaubatz's A Survivor's Guide to R provides a gentle yet thorough introduction to R. The book is structured around critical R tasks, and focuses on applied knowledge, rather than abstract concepts. Gaubatz's easy-to-read approach helps students with little or no background in statistics or programming to develop real-world R skills through straightforward coverage of R objects and functions. Focusing on real-world data, the challenges of dataset construction, and the use of R's powerful graphing tools, the guide is written in an accessible, sympathetic, even humorous style that ensures students acquire functional R skills they can use in their own projects and carry into their work beyond the classroom.

R Graphics I: The Built-in Plots

R graphics i: The built-in plots

Visualizations are an essential element for communicating quantitative data. R is a powerful and effective tool for generating high-quality and diverse graphics. It will generate quite simple plots with just a few commands but is sufficiently flexible to produce sophisticated and highly customized publication-quality plots. It is, for example, widely used by the graphics department of the New York Times for their consistently excellent data visualizations.

I would hope that sooner rather than later you will find yourself wanting to do things with graphs for which Excel just won't cut it. Once again, one of the big advantages of R is that precisely because it is a command ...

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