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.
Across a broad range of fields, the accelerating revolution in computing power and digitization has created a world of vastly more data. A functional knowledge of statistics is an increasingly essential tool for those working in the many arenas that put a premium on the use of information. Alas, as if learning statistics wasn't stressful enough for many people, this data revolution increasingly requires learning some computer techniques for managing data, conducting statistical analysis, and producing effective visualizations for describing data and communicating statistical results.
This is where R, an open-source package for doing statistical computing, enters the picture. Its four most salient characteristics are as follows:
- It's free (you can't beat that).
- It is ...