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, [EMAIL PROTECTED] <[EMAIL PROTECTED]> 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 > > ______________________________________________ > [email protected] mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > 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? [[alternative HTML version deleted]] ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
