[R] How to represent tree-structured values

[Jim Lemon]

Hi Richard,
Thinking about this, you might also find intersectDiagram, also in
plotrix, to be useful.

Jim

On Mon, May 30, 2022 at 4:37 PM Jim Lemon <drjimlemon using gmail.com> wrote:
>
> 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 <raoknz using 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]]
> >
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