How about 4 plots of 9 each.  You can change the 'cut' for other
distributions of your IDs.


pData <- data.frame(id=sample(1:36,1000,T), data=rnorm(1000))  # sample data
partData <- split(pData, cut(pData$id, 4))  # split into 4 groups
boxplot(data ~ id, pData)  # original plot
lapply(partData, function(x) boxplot(data ~ id, x)) # 4 plots





On 1/8/07, antoniababe@yahoo.se <antoniababe@yahoo.se> wrote:
>
> Dear R-users,
>
> I have a data frame containing 2 colums: column 1 is
> the patient numbers (totally 36 patients), column 2 is
> patient's response values (each patient has 100
> response values). If I produce a boxplot for each
> patient on the same graph in order to compare them
> against each other then the boxplots are very small.
>
> How can I instead of creating one graph containing 36
> boxplots, create four different graphs where three of
> them have 10 boxplots each representing data of 10
> patients and the fourth graph has boxplots of
> remaining patients ?
>
> Thanks alot for any suggestion,
> Greetings,
> Antonia
>
> ______________________________________________
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> PLEASE do read the posting guide
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> and provide commented, minimal, self-contained, reproducible code.
>



-- 
Jim Holtman
Cincinnati, OH
+1 513 646 9390

What is the problem you are trying to solve?

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