Sorry to come back again, but with this and other (real) data, I'm not able
to obtain those comparisons. I'm using the following command and obtain the
following result (lmer model).
glht(lmelac.ex, linfct = mcp("ath1:tim20 - ath1:tim40 = 0"="Tukey"))->comp
Erreur dans mcp2matrix(model, linfct =
Hi again,
Reproducing part of my data (which indeed are here well standardized), I
obtain similar results (with regard to the R output) than previously.
These are "part" of an experimentation where people with different athletic
(ath) training exercised during 120 minutes. Plasma lactate was one
Billeke wrote:
>
> Reproducing part of my data (which indeed are here well standardized), I
> obtain similar results (with regard to the R output) than previously.
>
> These are "part" of an experimentation where people with different
> athletic (ath) training exercised during 120 minutes. Pla
Billeke wrote:
>
>
> mult2 <- glht(lmelac.ex, linfct = mcp("ath:time" = "Tukey"))
>
>
I don't have the time to check, but got a mail for Torsten (author) with the
following idea:
glht(lmeglu, linfct = c("Ath1:tim2 - Ath1:tim3 = 0", ...))
He suggested to build the matrix explicitly instead
Billeke wrote:
>
> I'm a bit lost while performing multiple comparisons on a lme model of
> that type:
>
> lmeglu=lme(glucose~Ath*tim,random=~1|Vol,na.action=na.omit,data=data)
> multc = glht(lmeglu, linfct = mcp(Ath = "Tukey", tim = "Tukey"))
>
> This works fine for identifying the effect of
5 matches
Mail list logo
