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This book is a good resource for someone who wants to learn R and use R for statistical computing and graphics. It will also serve well as a textbook or a reference book for students in a course related to computational statistics.
―Hon Keung Tony Ng, Technometrics, May 2011
… a very coherent and useful account of its chosen subject matter. … The programming section … is more comprehensive than Braun & Murdoch (2007), but more accessible than Venables & Ripley (2000). … The book deserves a place on university library shelves … One very useful feature of the book is that nearly every chapter has a set of exercises. There are also plenty of well-chosen examples throughout the book that are used to explain the material. I also appreciated the clear and attractive programming style of the R code presented in the book. I found very little in the way of typos or solecisms. … I can strongly recommend the book for its intended audience. If I ever again have to teach our stochastic modelling course, I will undoubtedly use some of the exercises and examples from Scientific Programming and Simulation Using R.
―David Scott, Australian & New Zealand Journal of Statistics, 2011
It is not often that I think that a statistics text is one that most scientifc statisticians should have in their personal libraries. Introduction to Scientific Programming and Simulation Using R is such a text. … This text provides scientific researchers with a working knowledge of R for both reviewing and for engaging in the statistical evaluation of scientific data. …It is particularly useful for understanding and developing modeling and simulation software. I highly recommend the text, finding it to be one of the most useful books I have read on the subject.
―Journal of Statistical Software, September 2010, Volume 36
The authors have written an excellent introduction to scientific programming with R. Their clear prose, logical structure, well-documented code and realistic examples made the book a pleasure to read. One particularly useful feature is the chapter of cases studies at the end, which not only demonstrates complete analyses but also acts as a pedagogical tool to review and integrate material introduced throughout the book. … I would strongly recommend this book for readers interested in using R for simulations, particularly for those new to scientific programming or R. It is also very student-friendly and would be suitable either as a course textbook or for self-study.
―Significance, September 2009
I think that the techniques of scientific programming presented will soon enable the novice to apply statistical models to real-world problems. The writing style is easy to read and the book is suitable for private study. If you have never read a book on scientific programming and simulation, then I recommend that you start with this one.
―International Statistical Review, 2009
I don't love teaching myself mathematics and programming but this book was incredibly helpful and easy to read yourself. The projects are interesting and very helpful!Published 20 months ago by William Cipolli
This is my first time writing a review for a book. I bought about 10 books on R at the same time...this was the book that really helped me out in learning the R programmin... Read morePublished on November 4, 2013 by Arash Bahremand
This book is NOT just about learning R programming. Many other comments seem to focus on using this book for learning R programming. Read morePublished on September 27, 2013 by USA Instructor
I have taken many graduate level stats classes and have purchased associated texts. This book is by far the most valuable for writing code. Read morePublished on June 11, 2013 by Aiden Johnson
I was somewhat excited when I found this book was available on Kindle; I mean, there really aren't a whole lot of books on this topic that are. Read morePublished on November 12, 2012 by Monte Milanuk
Developing R programs and applications to model and simulate scientific mathematical processes is a heady topic, not one for the faint of heart. Read morePublished on September 19, 2012 by Geoffrey Hubona
This is a great introduction to R with helpful examples. I would like to use this for a course at work. The Kindle edition is quite convenient.Published on October 7, 2011 by John Minter
I own several books on R.
R is free. It is powerful. It is a Swiss Army knife of software.
I have bought several books on R. Read more
I have been searching several R programming book for applied statistics, but most of them were merely the explanation of theoretical programming, not useful to enhance true... Read morePublished on April 23, 2011 by Ty310