Martin Hoyle <plxmh at nottingham.ac.uk> said:
Hello R Users,
I am investigating the basic use of the LME function, using the following
Response is Weight, covariate is Age, random factor is Genotype
model.lme <- lme (Weight~Age, random=~ 1|Genotype)
After summary(model.lme), I find that the estimate of Age is 0.098 with
I am comparing the above model with the AOV function;
model.aov <- aov (Weight~Age + Genotype)
I find that the estimate of Age is also 0.098, and p=0.758 as in the LME
model above.
Have a look at summary(model.lme), find the "Random Effect:"-part and see
whether the Genotype variation is close to 0. If so, this would explain why
the estimates are similar, as the random factor Genotype then has almost
negligible variation.