Re: [R] How to represent tree-structured values
For visualising hierarchical data a treemap can also work well. For example, using the treemap package: n <- 1000 library(data.table) library(treemap) dta <- data.table( level1 = sample(LETTERS[1:5], n, replace = TRUE), level2 = sample(letters[1:5], n, replace = TRUE), level3 = sample(1:9, n, replace = TRUE), event = sample(0:1, n, replace = TRUE) ) tab <- dta[, .(n = .N, rate = sum(event)/.N), by = .(level1, level2, level3)] treemap(tab, index = names(tab)[1:3], vSize = "n", vColor = "rate", type = "value", fontsize.labels = 20*c(1, 0.7, 0)) -- Jan On 30-05-2022 11:40, Jim Lemon wrote: 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 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 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. __ 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.
Re: [R] How to represent tree-structured values
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 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 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.
Re: [R] How to represent tree-structured values
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 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.
Re: [R] How to represent tree-structured values
Really this depends on the analysis you want to perform. In the past, I have used a super/sub two-column format as a compact, non-redundant representation for data entry, and after applying a recursive algorithm to convert this to a super/sub/level/id table where _all_ sub components have (duplicative) entries corresponding to each super component. But there is always the recursive list structure that formats such as yaml and json functions typically return. On May 29, 2022 9:54:44 PM PDT, Richard O'Keefe 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. -- Sent from my phone. Please excuse my brevity. __ 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] How to represent tree-structured values
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.
