Jeroen Oons has created another interactive web-based application based on R, this time for fitting generalized linear mixed-effects models. This application lets you upload your own data set in SPSS or ASCII format, and then apply the methods of lme4 package by Doug Bates and Martin Maechler. In effect, it's a web-based replacement for SAS's PROC MIXED command. The video below gives a quick demonstration of how it works.
Another longer, narrated video shows how to use this tool to fit a 2-level regression model.
The capabilities of the lme4 package are quite extensive, and most of the possibilities (with the exception of user-defined correlation structures) are represented here with a slick drag-and-drop interface for specifying the fixed and random components of the model. For more information about the kinds of models you can fit with lme4, I highly recommend the book Mixed Effects Models in S and S-Plus by Jose C. Pinheiro and Douglas M Bates. (Despite the title, the book applies equally well to R.)
Jeroen Oons: lme4 web interface
Cool stuff!
Posted by: anon | October 02, 2009 at 06:43