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

My sabbatical is rapidly coming to an end, and I have to start thinking more and more about teaching. Glancing over my module description for the introductory computational statistics course I teach, I noticed that it’s a bit light on recommend/background reading. In fact it has only two books:

Pros: I quite like this book (hence the reason I put it on my list). It has a nice collection of exercises, it “looks nice” and doesn’t assume knowledge of programming. It also doesn’t assume (or try to teach) any statistics.

Cons: When describing for loops and functions the examples aren’t very statistical. For example, it uses Fibonacci sequences in the while loop section and the sieve of Eratosthenes for if statements.