0
$\begingroup$

I'm trying to see how latency to emerge (response variable) is varies with time (trials). Individuals (ID) are nested within colonies. The nesting is such that individuals 1-20 belong to colony 1, 21-40 to colony 2, and so on. I would like to see how latency of individuals vary with time by fitting a random slope model, and at the same time accounting for the non-independence of individuals from colonies. I'm confused which is the correct formula because the outputs are different:

m1<-lmer(latency~Trial+(1|colony:ID)+(Trial|ID),data=mydata)

m2<-lmer(latency~Trial+(1|colony/ID)+(Trial|ID),data=mydata).

Output of m1 gives interactions of all individuals with trials. However, output of m2 says "singular fit".

Thanks much!

$\endgroup$

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Browse other questions tagged or ask your own question.