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2012 Dec 13
0
GLMM - lme4 - binomial family, quadrinomial data: Can one partition be response and another be dependent variable?
....6597187 1.0000000
Variance inflation factors
GVIF
part1 1.207584
part3 1.859350
part4 1.810761
So, apart that part2 is a variable dependent on part1, part3 and part4, it
look like there's no Collinearity problems in here. So, apart from this,
there is no problem in doing this:
*model02*<- lmer(part2 ~ genotype : date : temperature : part1 : part3 :
part4 +
(1|plant),data=data,family="binomial")
On *model01* just "temperature" was significant. On the other hand, on*model02
*, just part3 (which is highly correlated with the response variable) was
significan...