Summary
Contents
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.
From here to where?
From here to where?
Having reached, at last, the end of the Survivor's Guide, you should have a pretty good grasp of the basic elements of R. You are now well prepared to tackle a very wide range of tasks using R for data management and graphics. The bad news is that there is still much more that you can learn. That starts, of course, with all the statistics that are the real purpose of R. There remains an important difference between knowing how to make R do something and understanding the statistical concepts themselves. Still, facility with a statistics program like R is necessary, even if not sufficient. The good news is that the skills ...
