The art of R programming

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.