Dear R-helpers,
I have been analysing data using a GLM. My model is as follows:
mod <- glm (V ~ T + as.factor(A) + N, family="gaussian")
and using
anova(mod, test="F")
to get the analysis of deviance table and the fraction of deviance
explained by each term.
T and A dominate with respect to their Deviance, with T having a
larger effect than A (about twice)
However, if I reverse T and A in the model, I get that A now explains
more deviance than T.
My questions are: 1) What is it due to?
2) Is there any way around this? How do I find
which model is
best and/or can I use another method that won't be sensitive to the
order of the terms.
Thanks,
Christian
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