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.

A Sample Session

A sample session

So here's the thing: Before we can really get into the interesting stuff with R, we've got to spend a little time looking at object types. That is, I'm afraid, somewhat tedious stuff. It is, however, exceedingly important. Failure to pay attention to object types is the surest route to R despair. To make that medicine a little more palatable, we're going to start here with a brief walkthrough of basic R statistics. We'll go through a sample session of R that will include many of the procedures that would be required in an introductory statistics class.1 We'll do this in as spare a manner as possible, using mostly R's defaults. The remainder of ...

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