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25 Recipes for Getting Started with R 1st Edition

3 out of 5 stars 2 customer reviews
ISBN-13: 978-1449303235
ISBN-10: 1449303234
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Editorial Reviews

Book Description

Excerpts from the R Cookbook

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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Product Details

  • Paperback: 62 pages
  • Publisher: O'Reilly Media; 1 edition (March 10, 2011)
  • Language: English
  • ISBN-10: 1449303234
  • ISBN-13: 978-1449303235
  • Product Dimensions: 7 x 0.4 x 9.2 inches
  • Shipping Weight: 4 ounces (View shipping rates and policies)
  • Average Customer Review: 3.0 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Best Sellers Rank: #1,667,511 in Books (See Top 100 in Books)

More 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, where he lives with his wife and sons. In his mind, he is a fabulous musician and one of the world's great futures traders.

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Format: Paperback
O'Reilly have published a lot of great books over the years, but this seems like a total rip-off! Not only is a price of $29 for 58 pages preposterous, what makes this totally ridiculous that as of today (March 11th, 2011), Amazon is offering this book, a 58-page excerpt from the same author's "R cookbook", for $29.39, while the latter is available for $28.78.

That's right - the 58 page excerpt costs a little more than the 436 page original. Go figure.
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Format: Paperback
Simple, straight to the point, and nicely composed introduction to R. This is the first impression after you go briefly through all the chapters. I am not regular R user - I use R periodically when I have to perform server log analysis. However I remember my first experience with R. It was quite painful to do such simple tasks as loading data from input files, printing loaded data, plotting basic charts not to mention more complex data analysis. Paul guides you through R basics and provides you with gentle introduction to R - powerful tool (or language if you want to be strict) for statistical analysis of data. What you get here is a description of tasks that every beginner will perform - sooner or later. Book guides your through all the steps from the installation process to complex data analysis. After reading this book chapter by chapter you will most probably notice something - it wasn't that hard to start working with R after all. What I really like in Paul's approach is that examples are really, really simple and straightforward. No messing around, just plain, clear, simple examples - very often single liners. But don't think that this is all about. After each solution there is a time for a deeper analysis of the problem. This is the place, where you get detailed explanation of what really happens when you execute given example. Great benefit of the book is that it covers really basic issues related to R programing and it covers them at fairly small number of pages. This way, you get the knowledge, while at the same time you don't get bored. Must have for R beginners.
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