A new R module that lets you keep your data on disk.
Hadley Wickhams's GitHub page for his advanced R development courses. Includes useful material on advanced programming in R as well as package development.
I think this would be pretty easy to do with gpplot2, but Portfolio looks like its worth checking out too.
Awesome (and very short) section of debugging: 1. Be liberal with the use of print (or cat()) statements in your functions when debugging them! 2. traceback() # can see the sequence of function calls 3. options(error = dump.frames) debugger() # permits you to see the values of objects in the various nested environments of the function calls
The description of fitting coxph to time dependent data here seems to be better than any I've found yet.
I'm a huge fan of data.table and I've used it a ton in my own work in the last year.
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.
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.
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.
Has some decent functionality that I might be interested in some time, although I don't think I'm interested in it now.
A somewhat hard-to-find-but-useful set of ggplot2 examples buried on Hadley Wickham's site.
