- 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: 94 customer reviews
- Amazon Best Sellers Rank: #12,548 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.
Top customer reviews
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This book provides necessary support. Is well organized, covers a lot of materials, answers are simple and precise. This is The Handbook for R practitioner. Well, maybe this book doesn't cover EVERYTHING. But covers enough.
gives a better explanation of what is happening deep down in the language. Nevertheless this book is very useful, for someone who is starting out, I suppose for intermediate users, but I doubt that a very experienced user will get much out of it.
It's very good for someone who is looking for a quick solution, but as in all cookbooks it's not exhaustive-how could it be
in such a short place. This is why I think that a second edition will be welcome, so that it covers more ground.
The writing style is absolutely first rate, I agree with the other reviewer who says you'd wish the author would write a lot more books. He really has a knack of making it look easy.
If you are not very advanced then you will certainly spend your time very productively with this book, and it's modestly priced.