Geertje Van der Heijden wrote:
>
> Hi,
>
> I am trying to fit a ANCOVA model using lmRob. The P-values of the
> variables in the model differ hugely between the summary() function and
> the anova() function (from >0.8 in the summary to <0.001in the anova for
> the same variable). I understand that with an ANCOVA the order in which
> the variables are added to the model matters and that this influences
> the P-value, but can this make such a big difference?
> Which P-values are best to use? Also, could this be an indication
> something is wrong with my model?
>
Someone may know the answer to this off the top of their head, but if
you provided a reproducible example you would be much more likely
to get an answer ...
Ben Bolker
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