The art of R programming

November 29, 2011

(This article was first published on Research tips » R, and kindly contributed to R-bloggers)

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:

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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