On Mon, Mar 15, 2010 at 8:37 AM, Dejian Zhao <zhaodj@ioz.ac.cn> wrote:

> Thank you for your explanation, Richard.
> But I want to confirm whether I understand you correctly.
> Take "ancova(Sodium ~ Calories + Type, data=hotdog)" for example.
> Calories is the covariate in the formula, right ?
>
> If Calories is the covariate, the result of that command shows Type is
> significant (as below), then how to do post hoc test on Type? Type has three
> levels, ie. Beef, Meat, and Poultry. The ancova() result does not carry out
> multiple comparison between them.
>
> Thank you very much.
>

Please see the maiz example in ?MMC in the HH package.
maiz is the last example in the help file.  Keep going all the way to the
end of
the help file.  See also the

demo("MMC.WoodEnergy-aov", "HH")
These examples show how to use glht in the presence of interactions and
covariates.

Rich

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