This example is based on ?glht
> data(warpbreaks)
> glht(amod, linfct = mcp(tension = "Dunnett"))
General Linear Hypotheses
Multiple Comparisons of Means: Dunnett Contrasts
Linear Hypotheses:
Estimate
M - L == 0 -10.0
H - L == 0 -14.7
> levels(warpbreaks$tension)
[1] "L" "M" "H"
> warpbreaks$tension <- factor(warpbreaks$tension, levels=c("H","M","L"))
> amod <- aov(breaks ~ tension, data = warpbreaks)
> glht(amod, linfct = mcp(tension = "Dunnett"))
General Linear Hypotheses
Multiple Comparisons of Means: Dunnett Contrasts
Linear Hypotheses:
Estimate
M - H == 0 4.72
L - H == 0 14.72
Changing the order of the levels is easy. Rearranging the data itself
is not necessary.
Rich
On Thu, Jun 4, 2015 at 3:42 PM, James F. Henson
<james_hen...@suagcenter.com> wrote:
> Greetings
>
> Below is my code.
>
> library("multcomp")
> viaModel1 <- aov(libido ~ dose, data=viagraData)
> dunnettModel <- glht(viaModel1 , linfct = mcp(dose = "Dunnett"), base =
> "placebo")
>
> The code base="placebo" is ignored. All treatments are compared to the first
> treatment in the order, which is "high dose". It is possible to rearrange
> the order so that "placebo' is first, but this is inconvenient.
>
> Thanks,
> James F. Henson
>
> [[alternative HTML version deleted]]
>
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