“The guide is detailed enough that students could practice these operations outside the classroom until they mastered them, which means that more class time can be spent discussing the conceptual issues in statistics.”
“R's visualization tools and its powerful graphics capabilities . . . make this book a popular choice for many applications.”
“[This book] does an excellent job of guiding readers through pitfalls common to R's data handling idiosyncrasies—pitfalls usually learned after hours of frustration and lamentation. The conversational, and at times humorous, style makes for a readable, enjoyable, and relaxed examination of a powerful computation tool with a steep learning curve. Each chapter is compartmentalized enough to be read separately, but the author includes chapter references . . . to tie the guide together as a whole . . .
“I very much appreciate the development of a text primarily devoted to the students and practitioners who are first-time users of R . . . It is a very gentle and easy-to-read introduction to R for anyone who might have been afraid of learning programming language . . . It [is] very easy to read and follow . . . The flow of the topics is logical and natural for teaching any computational language. With a good sense of humor, the text is highly user-friendly.”
“A strength is the author's thorough approach to the code without being . . . dull. I very much appreciate that the author describes R code idiosyncrasies while keeping the text light.”
My university and department has yet to allow me to teach R instead of SPSS. However, this is a terrific text, and I hope to see an updated version soon when it becomes clear that we should be teaching and using R instead of, or in conjunction with, SPSS.
Very useful for supporting learning of R. Good introduction and useful for reference.
This is a helpful book for students doing data analysis with R.
A "Survivor's guide to R" is a nice introduction for the more technical details of R which are essential to make fully use of R's statistical capacities. It is useful for beginners of R who have little or no experience with programming languages. It is easy and nice to read (at least as such a technical topic can be).
good book but not for undergraduates
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