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 II: The Boring Stuff

R graphics ii: The boring stuff

Now that we've got some basic graphs out, it is time to look a little more systematically at the process of customization. Pretty much everything in R graphics can be customized. While this can be a bit tedious in the first instance, one of the great virtues of command-line programming is that replication becomes trivial and the same customizations can be easily reused for other projects.

Graphics customization can look complex, but if taken step by step, it is really pretty straightforward. We are going to break it down into three big parts. First, in this chapter, we are mostly going to deal with a lot of boring, ...

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