[R] ANOVA and confidence intervals plot

[Max Manfrin]

On 02 Apr 2007, at 04:40, Richard M. Heiberger wrote:

>> 	I would like to obtain for each factor of my anova model the
>> "response variable vs factor" plot with means and 95% Tukey HSD
>> intervals.
>
> I believe you are asking for the multiple comparisons plots from the
> multcomp package.

> library(multcomp)
>       ### multiple comparison procedures
>        ### set up a one-way ANOVA
>        amod <- aov(breaks ~ tension, data = warpbreaks)
>
> warp.pairwise <- glht(amod, linfct = mcp(tension = "Means"))
> confint(warp.pairwise)
> plot(warp.pairwise)

Dear Dr. Heiberger,
	thank you for your help. Following the example above I was able to  
test the independence of each factors in my anova analysis.

My anova model is built in a way similar to this:

myObj.aov <- aov(response~(factor1+factor2+factor2+factor4+factor5) 
^2,data=myDataFrame)

I used the code below for each factor of my model:

myObj.pairwise <- glht(myObj.aov, linfct=mcp(factor1="Means"))
confint(myObj.pairwise)
plot(myObj.pairwise)


> I recommend the MMC (Mean-mean Multiple Comparison) plot that includes
> both sets of information, pairwise comparisons and individual  
> means, and
> also allows arbitrary contrasts.
>
> library(HH)
> warp.mmc <- glht.mmc(amod, linfct = mcp(tension = "Tukey"))
> warp.mmc
> plot(warp.mmc)

Unluckly, I was not able to try this last example on my own data.

If I  use the following line of code, I obtain an error

myObj.mmc <- glht.mmc(myObj.aov, linfct=mcp(factor1="Tukey"))

 > Error in means %*% abs(lmat.factor) : non -conformable arguments


Thank you for your help.

Cheers

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