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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?
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You could do worse than reading this: Statistics Done Wrong. –  d18s Feb 6 at 14:04
    
This appears to have no relation to the question, specifically about code on Github, –  Nick Cox Feb 6 at 14:07
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3 Answers

up vote 15 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!

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

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