A new R module that lets you keep your data on disk.
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.
Math and biostats are the shortest. History is the longest. Nobody is suprised.
Combination example code for common things and tutorial.
"R provides Type I sequential SS, not the default Type III marginal SS reported by SAS and SPSS. In a nonorthogonal design with more than one term on the right hand side of the equation order will matter (i.e., A+B and B+A will produce different results)! We will need use the drop1( ) function to produce the familiar Type III results."
