This is the only introduction you'll need to start programming in R, the open-source language that is free to download, and lets you adapt the source code for your own requirements. Co-written by one of the R Core Development Team, and by an established R author, this book comes with real R code that complies with the standards of the language. Unlike other introductory books on the ground-breaking R system, this book emphasizes programming, including the principles that apply to most computing languages, and techniques used to develop more complex projects. Learning the language is made easier by the frequent exercises and end-of-chapter reviews that help you progress confidently through the book. Solutions, datasets and any errata will be available from the book's web site. The many examples, all from real applications, make it particularly useful for anyone working in practical data analysis.
A First Course in Statistical Programming with R
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Editorial Reviews
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"While it is rare to see in a book, denseness does not have to be difficult and this book is an example of that. The authors are terse and effective as they clearly demonstrate how to use the R package. If you lack the budget for the purchase of a commercial computational mathematics package, then R with this textbook provides a very low cost alternative for many classes."
Charles Ashbacher, Journal of Recreational Mathematics
" a useful introductory text..."
Andrew Schaffner, The American Statistician
"As an R novice, I appreciated the explanations. Several times, I reacted with 'Oh, that's how it is supposed to be done.' ... I like this book and I learned a lot. I am convinced that most readers (including regular R users and mature statisticians) will learn something useful from this book. Again, it is not a book for learning statistical data analysis in R, but it is the right book for a statistician to learn the structure of R, and it is a good book to study before (or after) learning data analysis. I highly recommend this book."
Myron Hlynka, Technometrics
Charles Ashbacher, Journal of Recreational Mathematics
" a useful introductory text..."
Andrew Schaffner, The American Statistician
"As an R novice, I appreciated the explanations. Several times, I reacted with 'Oh, that's how it is supposed to be done.' ... I like this book and I learned a lot. I am convinced that most readers (including regular R users and mature statisticians) will learn something useful from this book. Again, it is not a book for learning statistical data analysis in R, but it is the right book for a statistician to learn the structure of R, and it is a good book to study before (or after) learning data analysis. I highly recommend this book."
Myron Hlynka, Technometrics
Book Description
The only introduction you'll need to start programming in R. Co-written by one of the R Core Development Team, and by an established R author, the book includes real R code that complies with the standards of the language. Exercises and end-of-chapter reviews help you progress confidently through the book.
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Most Helpful Customer Reviews
12 of 16 people found the following review helpful:
3.0 out of 5 stars
A solid week's worth of material.,
By
This review is from: A First Course in Statistical Programming with R (Paperback)
It's nice in that it gives you problems and solutions to the problems, so you can teach yourself the language. But it is not nearly comprehensive enough to be a reference book. If you can afford it, buy this much more comprehensive, but still good for beginners, book instead:The R Book
Now if you just want to explore R some and are looking for a lower cost book with which to do so, or want a structured book with problems and exercises, then this Braun and Murdoch book is fine.
2 of 2 people found the following review helpful:
4.0 out of 5 stars
Beginner text with less of a statistical emphasis,
This review is from: A First Course in Statistical Programming with R (Paperback)
Despite its title, this book approaches teaching R from less of a statistical perspective than most other introductory texts on R. There are other texts that I would suggest (such as Verzani or Dalgaard) for those looking to learn how to do statistical analyses with R.
As some of the other reviewers have noted, this book is not comprehensive (I'd have rated it 3 and a half stars if that were possible). Also this book doesn't seem to have an accompanying website which might have added extra value. For most potential R users, I'd recommend this book only if it were available at a lower price than most of its rivals. On the other hand, there are some important topics that are covered here in a more accessible manner than you are likely to find elsewhere. There is some useful explanation of low level graphics functions in Chapter 3. In particular, the introductions to Simulation (Chapter 5); Computational linear algebra (Chapter 6); and Numerical optimization (Chapter 7) are worth checking out. In my estimation, this book would be most useful for someone interested in introducing R to capable secondary students who might want to use R as a computational tool for a range of purposes including, but not limited to, data analysis. I think this would be a very useful enterprise, and for such a purpose I would recommend this particular book.
10 of 14 people found the following review helpful:
2.0 out of 5 stars
Good book; Not quite whtt I was looking for, though,
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This review is from: A First Course in Statistical Programming with R (Paperback)
This is a really well written book and does everything it said it would do. The only problem was that I was looking for a book that was more geared towards learning R, than a book on learning statistics. The book is surprisingly cursory in regards to leading the reader through the structurees and approach that R takes to solving problems. I found that most of the discussions of R's syntax to be incredibly lacking and its discussion of the how the various features of R to be very disappointingly poor for someone who is trying to learn R as a novice. I have spent most of my 30 years in the workforce learning a variety of languages and am used to "sefl study" challenges...but I have yet to find anything ever remotely similar to what almost every other language provides...an introductory tutorial that focuses on the language rather than all the cool things you can do with the language. This book is the losest so far; but is still, in my opinion, not a very useful or productive approach to learning R.
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