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2012 Dec 13
0
GLMM - lme4 - binomial family, quadrinomial data: Can one partition be response and another be dependent variable?
.... On the other hand, on*model02
*, just part3 (which is highly correlated with the response variable) was
significant, temperature was not. It appears to me that the high
correlation between part2 and part3 explains the variance on part3 much
better than if any other factor is added.
If I do now a model03 where I do not include part3:
*model03*<- lmer(part1 ~ genotype : date : temperature : part1 : part4 +
(1|plant),data=data,family="binomial")
I get "temperature" as a significant factor as well as part4 and the
interaction part1*part4. In this analysis "date" is...