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From the Publisher… instructors will find lots of interesting material to use in a variety of courses. In addition, most non-expert users of R will enjoy reading the book and learn a few things they did not know before.
—T. Mildenberger, Statistical Papers, July 2011
For those who want to learn R and have a good statistics background, this book is a good choice. … the book is quite valuable and I am very glad that I have acquired a copy.
—David Booth, Technometrics, August 2010
… a fresh perspective on teaching statistics. … The book introduces its topics and the corresponding methodologies well. … the book is well put together and quite enjoyable for its purpose of serving a small course on computational statistics. …
—Journal of Statistical Software, December 2009
… a well-written and nicely organized book suitable for quantitatively and computationally sophisticated readers. … it is the integration of interesting examples and associated R code that make the text a pleasure to read and work through. The examples are neither overly trivial … nor excessively complicated, and the R code is similarly accessible without being either too simple or complex. … Computational Statistics: An Introduction to R will be most useful to computer savvy readers with at least some skill in statistical programming who would like a succinct introduction to R. It could also be useful as a supplementary text for upper-level undergraduate or graduate courses with labs that use R. …
—Ronald D. Fricker, Jr., The American Statistician