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.

Object Types in R

Object types in r

Having seen the kinds of things R can do, I'm sure everyone is anxious to get right on to revolutionary statistical discoveries and the production of eye-popping, full-color graphics. Before going there, we've got to stop for a moment and talk objects. This, I'm afraid, may be unpleasant. But objects are at the center of the R worldview, and misunderstanding them is the central cause of frustration for new, and even not so new, R users.

For better or worse, R is an object-oriented language. Being object oriented means that R procedures recognize the kind of object they are being called to process and behave differently depending on the object type. This ...

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