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This is a gem of a book. It will become the book I give PhD students when they are learning how to write good R code. That is, if I ever see it again. I had hoped to write a review of it, but I haven’t seen it since it arrived in the mail a couple of weeks ago because a research student or research assistant has always had it on loan. I guess that’s a testament to how useful it is.
So instead of a review, here is the table of contents to give the flavour of what it covers:
| Introduction | |
| 1. | Getting Started |
| 2. | Vectors |
| 3. | Matrices and arrays |
| 4. | Lists |
| 5. | Data frames |
| 6. | Factors and tables |
| 7. | R programming structures |
| 8. | Doing math and simulations in R |
| 9. | Object-oriented programming |
| 10. | Input/output |
| 11. | String manipulation |
| 12. | Graphics |
| 13. | Debugging |
| 14. | Performance enhancement: speed and memory |
| 15. | Interfacing R to other languages |
| 16. | Parallel R |
| A. | Installing R |
| B. | Installing and using packages |
Other people have reviewed the book including Joseph Rickert, Nathan Yau and Bryan Bell, as well as a few people on Amazon (with ten 5-star reviews to date!).
At less then $25, you have little to lose — head over to Amazon and buy a copy now! If a few of my PhD students buy their own copies, I might get mine back.
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