Hi Richard, Some years ago I had a try at illustrating Multiple Causes of Death (MCoD) data. I settled on what is sometimes called a "sizetree". You can see some examples in the sizetree function help page in "plotrix". Unfortunately I can't use the original data as it was confidential.
Jim On Mon, May 30, 2022 at 2:55 PM Richard O'Keefe <rao...@gmail.com> wrote: > > There is a kind of data I run into fairly often > which I have never known how to represent in R, > and nothing I've tried really satisfies me. > > Consider for example > ... > - injuries > ... > - injuries to limbs > ... > - injuries to extremities > ... > - injuries to hands > - injuries to dominant hand > - injuries to non-dominant hand > ... > ... > ... > > This isn't ordinal data, because there is no > "left to right" order on the values. But there > IS a "part/whole" order, which an analysis should > respect, so it's not pure nominal data either. > > As one particular example, if I want to > tabulate data like this, an occurrence of one > value should be counted as an occurrence of > *every* superordinate value. > > Examples of such data include "why is this patient > being treated", "what drug is this patient being > treated with", "what geographic region is this > school from", "what biological group does this > insect belong to". > > So what is the recommended way to represent > and the recommended way to analyse such data in R? > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > 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. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
