  This looks reasonable, but I think you should probably use Pearson
(or possibly deviance) residuals for the most part.
  One way to check would be compare the results for lme4 and glmmADMB
for a model that they can both run (e.g. Poisson), and make sure you
get similar answers.

  Ben Bolker





On Wed, Aug 6, 2014 at 1:33 PM, Reuben Smit <smit.reuben@gmail.com> wrote:

> plot(glmmadmb_object) gives an error message "..'x' is a list, but does not
> have components 'x' and 'y' "
>
> My work around has been:
>
> res<-residuals(glmmadmb_object, type="repsonse")
> plot(exp(predict(glmmadmb_object)), res) #for residual plot
> qqnorm(res) #for a qqplot
>
> I'm looking for confirmation that my work around is correct, or how to
> solve the issue of the error message.
>
> Thanks everyone,
> Reuben
>
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