R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics (O'Reilly Cookbooks) 1st Edition, Kindle Edition
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Top customer reviews
I have worked with statistics at various levels over the years and taken courses but I wanted to brush up on concepts and applications, and this book was really good for that. I think it is also a decent book for learning programming although one would start using the 1-based paradigm instead of 0-based for indexing and that is kind of nonstandard and used only for math software. But a beginner could learn quite a bit by just playing around with the examples.
The explanations of the statistics concepts was particularly good. The author is very precise with his language and even repetitive (which I appreciated) about the rigorous interpretation of results.
The R software thankfully provides a well designed, open source alternative to Matlab and this cookbook (with its references) is an ideal place to start learning for practical use at work or on projects. I thoroughly recommend it. I found very few typos which for me is one of many quality indicators. The author also writes in an entertaining style making the book fun to read - which is a challenge considering the subject matter could be considered dry (by some).
I think much of the information contained in this book is widely available free on the internet.
1)Comprehensive reference on R.
2)Good explanations and writing.
1)Mostly for beginner-intermediate users. Not too many expert level concepts.
2)Most of the information is available for free on the internet, and usually in much more comprehensive form.
If you already have a good R reference, then this book will probably be redundant.
From my experience with comparable books for other languages, I expect this book would also be useful for an experienced user of R. I've been using Perl on a daily basis for over 20 years, and I still keep a well-thumbed copy of the Perl Cookbook handy!
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