- Series: O'reilly Cookbooks
- Paperback: 438 pages
- Publisher: O'Reilly Media; 1 edition (March 25, 2011)
- Language: English
- ISBN-10: 0596809158
- ISBN-13: 978-0596809157
- Product Dimensions: 7 x 1 x 9.2 inches
- Shipping Weight: 1.6 pounds (View shipping rates and policies)
- Average Customer Review: 101 customer reviews
- Amazon Best Sellers Rank: #29,280 in Books (See Top 100 in Books)
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R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics (O'reilly Cookbooks) 1st Edition
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About the Author
Paul Teetor is a quantitative developer with Masters degrees in statistics and computer science. He specializes in analytics and software engineering for investment management, securities trading, and risk management. He works with hedge funds, market makers, and portfolio managers in the greater Chicago area.
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101 customer reviews
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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!