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.

Reviewing and Summarizing Data

Reviewing and summarizing data

Once you have your data imported or (heaven forbid) inputted into the R environment, you will need to know how to view it and how to check it to be sure that it is what you want it to be. That is the subject of this chapter. Fortunately, many of the same tools that we might use for analyzing and visualizing data are also available for checking and validating data. As the size of your data set increases, the ability to do automated and sample-based checking becomes ever more important. In the realm of really Big Data, these methods become a science all their own. For now, I trust you are learning ...

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