[R-sig-ME] GLMM linearity checking
Ben Bolker
bolker at ufl.edu
Thu Jun 3 18:25:43 CEST 2010
fengsj at mail.utexas.edu wrote:
> I am sorry for asking this question here. It is more related to
> logistic regression.
>
> I need to use GLMM (binomial(link = "logit")) )to fit my data. The
> dependent variable is 0 or 1 and I'd like to do some roughly
> graphical checkings for my data to see if the responses of
> transformaed data are linear with respect to continuous predictors in
> general. How should I do this?
>
> Thanks,
>
how about
m <- glmer(...,data=d)
d$resid <- residuals(m)
xyplot(resid~continuous_predictor_1,type=c("p","smooth"),data=d)
...
Non-linearity on the transformed scale will appear as a (non-flat)
pattern of the (smoothed line fitted to the) residuals as a function of
the continuous predictors ...
Ben Bolker
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