Dear list,
I am trying to use MuMIn to compare all possible mixed models using the dredge
function on binomial data but I am getting an error message that I cannot
decode. This error only occurs when I use glmer. When I use an lmer analysis on
a different response variable every works great.
Example using a simplified glmer model
global model:
mod<- glmer(cbind(st$X2.REP.LIVE, st$X2.REP.DEAD) ~ DOMESTICATION*GLUC +
(1|PAIR), data=st, na.action=na.omit , family=binomial)
The response variables are the number of survival and dead insects (successes
and failures)
DOMESTICATION is a 2 level factor.
GLUC is a continuous variable.
PAIR is coded as a factor or character (both ways fail).
This model functions correctly but when I try it with dredge() I get an error.
g<- dredge(mod, beta=F, evaluate=F, rank='AIC')
Error in sprintf(gettext(fmt, domain = domain), ...) :
invalid type of argument[1]: 'symbol'
When I try with another rank the same thing happens:
chat<- deviance(mod)/58
g<- dredge(mod, beta=F, evaluate=F, rank='QAIC', chat=chat)
Error in sprintf(gettext(fmt, domain = domain), ...) :
invalid type of argument[1]: 'symbol'
Any suggestions would be greatly appreciated
thanks
Martin Turcotte, Ph. D.
mart.turco...@gmail.com
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