On Wed, Apr 7, 2010 at 9:25 PM, Eric Scott wrote:
> Thank you for your reply. The WoodEnergy example helped a lot. I
> understand now that it is inappropriate to make all pairwise comparisons
> with an interaction present and better to make comparisons between levels of
> one factor within a co
Thank you for your reply. The WoodEnergy example helped a lot. I
understand now that it is inappropriate to make all pairwise comparisons
with an interaction present and better to make comparisons between levels of
one factor within a constant level of the second factor. As I understand it,
the s
In addtition to the example I mentioned previously,
demo("MMC.WoodEnergy-aov", "HH")
Please also see
demo("MMC.WoodEnergy", "HH")
In this example, since anova(energy.aov.4),
shows that the Wood factor and Stove:Wood interaction are significant,
all possible pairwise comparisons of the 12 Stove:Wo
Thanks for the example, but I'm still not sure from this example how to see
the pairwise comparisons for the interaction. For example, if I have two
factors, X and Y; and X has 2 levels, A and B, and Y has 3 levels, 1, 2, and
3, a TukeyHSD would give the following comparisons with p-values for eac
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
Eric Scott-3 wrote:
>
> I'm trying to do an ANCOVA with two factors (clipping treatment with two
> levels, and plot with 4 levels) and a covariate (stem diameter). The
> response variable is fruit number. The minimal adequate model looks like
> this:
>
> model3<-lm(fruit~clip + plot + st.dia
I'm trying to do an ANCOVA with two factors (clipping treatment with two
levels, and plot with 4 levels) and a covariate (stem diameter). The
response variable is fruit number. The minimal adequate model looks like
this:
model3<-lm(fruit~clip + plot + st.dia + clip:plot)
I'd like to get some mu
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