mako: statistics (169)

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  1. *Sigh*. Another opt-in survey. This one from the Ada Initiative.
  2. Andrew Gelman comments on every research dataset I have. Without knowing it.
  3. Wow. Cool looking.
  4. Take Blackduck's results with a giant fist full of salt, but do look at these trends.
  5. I've only read through the chapter on transformations but this seems likely a truly excellent resource. Gratis for personal use.
  6. The description of fitting coxph to time dependent data here seems to be better than any I've found yet.
  7. Combination example code for common things and tutorial.
  8. Answer: When considering which class to use, always choose the least complex class that will support the application. That is, use Date if possible, otherwise use chron and otherwise use the POSIX classes.
  9. There should be a better way of finding your R package than searching though a page of short descriptions of all 2800 package.s But there isn't.
  10. Simple R package to format model objects in a regression table like the kind that everyone reporting models wil need to do. Nice start even if one wants to modify things after that. Based on PoliSci publications but looks pretty standard for other social sciences.
    2009-03-29 to , , , - Archived Link
  11. Correlation.
  12. updated: 2012-04-04, original: 2011-10-16 to , , , , , , - Archived Link
  13. "Project Bamboo is currently piloting a directory of tools, services, and collections that can facilitate digital research. This evolution of Lisa Spiro's DiRT wiki includes new ways of browsing and commenting on the entries. Please send us feedback on how to improve the site!"
  14. Which GNU/Linux distributions are are based off of which other GNU/Linux distributions?
  15. If you liked the Acetarium, you're going to love...
  16. I think this would be pretty easy to do with gpplot2, but Portfolio looks like its worth checking out too.
  17. I saw this on a few different visualization and statistics websites. It's a nice set of maps.
  18. Another cool looking tool from The King.
  19. Includes a pretty interesting discussion of dealing with overdispersion in mixed-effects models (e.g., count models) by using individual-level fixed effects. It also includes a whole series of citations.

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