I have recently discovered memisc, an extremely useful R package by Martin Elff (see his memisc page here). The package contains any number of useful functions, and is particularly good at helping one manage and recode survey data. However, by far my favorite thing about the package is the mtable() function. mtable() makes it easy to compare the results from different models from within R and, along with toLatex(), makes it easy create tables. Unfortunately, the functions that parse lme4 model objects is out-dated. The code below updates them for the current release version of lme4. A couple things to note, however: first, these functions do not work with model objects created by lme4a, which are significantly different than those produced in lme4; and second, the getSummary.mer() function currently only reports the results from two-level models, though extending it shouldn’t be too difficult.

• Script: mtable-lme4