Hi James,
You can change the order of levels like this:

levels(viagraData$dose)<-c("placebo","low dose","high dose")

Although I don't know the exact names of the variable and its levels.

Jim

On Fri, Jun 5, 2015 at 7:19 AM, Richard M. Heiberger <r...@temple.edu> wrote:
> 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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>
> ______________________________________________
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> and provide commented, minimal, self-contained, reproducible code.

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