"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."

Professor David Han, University of Texas, San Antonio

"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."

Ole J. Forsberg, Oklahoma State University

"R′s visualization tools and its powerful graphics capabilities . . . make this book a popular choice for many applications."

Charlotte Tate, San Francisco State University

"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."

Yulan Liang, University of Maryland, Baltimore

"[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 . . . The author covers the full spectrum, plus, thankfully, quite a bit of  material not usually included in other R introductions . . . The author covers the material in depth with nicely done examples.  I was also very happy to see that the author included a section on programming etiquette in R—very nice."

A. Dean Monroe, Angelo State University