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:
|3.||Matrices and arrays|
|6.||Factors and tables|
|7.||R programming structures|
|8.||Doing math and simulations in R|
|14.||Performance enhancement: speed and memory|
|15.||Interfacing R to other languages|
|B.||Installing and using packages|
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.
- My new forecasting textbook
- Installing R
- What you wish you knew before you started a PhD
- Econometrics and R
- Why R is better than Excel for teaching statistics