The art of R programming

Date

30 November 2011

Topics
computing
R
references

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
Getting Started
Vectors
Matrices and arrays
Lists
Data frames
Factors and tables
R programming structures
Doing math and simulations in R
Object-oriented programming
Input/output
String manipulation
Graphics
Debugging
Performance enhancement: speed and memory
Interfacing R to other languages
Parallel R
Installing R
Installing and using packages

Other people have reviewed the book including Joseph Rickert and Nathan Yau, 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.