[R-sig-ME] Residuals for a binomial lmer model

[Andy Fugard]

Hello,

I was wondering how to get residuals out of binomial lmers as the 
"residuals" function isn't implemented.  I've noticed a few other people 
ask the question too but get no response.  (Or at least I haven't found 
a response.)

I guess the answer is just to use the "fitted" function, which is 
implemented for binomial GLMMs.

Take the sleepstudy data, dichotomize Reaction (just to give us a 
dataset), and fit a multilevel logistic model:


med = median(sleepstudy$Reaction)
sleepstudy$bin = (sleepstudy$Reaction > med) + 0
M2 = lmer(bin ~ Days + (1|Subject) + (0+Days|Subject),
           data = sleepstudy, family = binomial)


We can pull out the fitted values and, say, plot fitted (post-inverse
logit) against data using a boxplot:


ilog = function(x) { 1/(1 + exp(-x)) }
boxplot(ilog(fitted(fm3)) ~ bin, data = sleepstudy)


Not sure now how useful this is, but I had some reason for wanting to peek!

Andy

-- 
Andy Fugard, Postgraduate Research Student
Psychology (Room F3), The University of Edinburgh,
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