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R Cookbook Paperback – Mar 25 2011
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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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Top Customer Reviews
This book, is not for a reading in bed just before you go to sleep. It is too pragmatic. Simple definition of the problem and just after that, simple solution ' that's what you get when it comes to each issue covered within the book. This is the strength of R Cookbook. On the other hand, it's weakness. If you cant find the question within table of contents it might be hard to get the answer for what you ask about. As I like pragmatic approach, I like the book as well. For me it's just perfect. Well, maybe just too short.
As with everything, there is a downside. R is accessed through a command line interface, has an overwhelming number of commands, and its syntax is difficult to learn and remember. R users, especially novices, will find this cookbook of tremendous help. It contains many brief sections, each of which lists example R code for a specific analysis task.
Tasks supported range from downloading and installing R through more complex data analysis. The sections I found most useful were:
- Finding Relevant Functions and Packages
- Performing Matrix Operations
- Editing a Data Frame
- Generating Reproducible Random Numbers
- Plotting Multiple Data Sets
- Predicting a Binary-Valued Variable (Logistic Regression)
Paul Teetor has produced a well-organized and useful reference book. The sections are straightforward and the example R code is no more complex than necessary. The explanations in each sections are instructive, yet concise. Numerous cross-links between sections allow readers to understand related tasks when writing more complex code. There are even a few sections on common R error messages and useful programming tricks. I recommend this book to anyone working with R who already has some background in data analysis with one or more other software tools.
Note: The book comes with an offer from the published to purchase upgrades as new versions are released. This seems like a good idea, but I have no experience with this from O'Reilly.
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