Cross Validated is a question and answer site for people interested in statistics, machine learning, data analysis, data mining, and data visualization. Join them; it only takes a minute:

Sign up
Here's how it works:
  1. Anybody can ask a question
  2. Anybody can answer
  3. The best answers are voted up and rise to the top

It is helpful to study the data analysis code of experts. I've recently been perusing github and there are a number of people sharing data analysis code there. This includes a few R Packages (which of course are available directly from CRAN), but also several examples of reproducible research, particularly using R (see this R list on github).

  • Who are good people to follow on github to learn about best practice in data analysis?
  • Optionally, what kind of code do they share and why is this useful?
share|improve this question
up vote 17 down vote accepted

Hadley Wickham. He has several exploratory data analysis projects on Github that you can look at (e.g., "data-baby-names"), and given the awesomeness of ggplot2/plyr/reshape, I have a default (but admittedly blind) trust in his best practices, particularly with respect to his own packages.

Plus, you get an early heads up on other projects he's working on!

share|improve this answer
(+1) He's also working on a set of tutorials on Advanced R development, very handy! – chl Nov 11 '10 at 8:30
@chl: Thanks. I hadn't seen the tutorials. – Jeromy Anglim Nov 11 '10 at 9:13
@Jeromy In fact, it seems this is merely a way to draft his future textbook (check HW's past tweets). – chl Nov 11 '10 at 9:26

I also follow John Myles White's GitHub repository. There are several data-oriented projects, but also interesting stuff for R developers:

share|improve this answer

Your Answer


By posting your answer, you agree to the privacy policy and terms of service.

Not the answer you're looking for? Browse other questions tagged or ask your own question.