VENNBAR: Stata module to show Euler or Venn diagrams mapped to bar or dotcharts

Nicholas Cox and Tim Morris ()
Additional contact information
Tim Morris: MRC Clinical Trials Unit at UCL

Statistical Software Components from Boston College Department of Economics

Abstract: vennbar produces a bar or dot chart alternative to Euler or Venn diagrams showing the frequencies (or more generally abundances) of subsets of observations as defined jointly by a bundle of numeric indicator variables. Commonly, but not necessarily, subset frequencies (or abundances) are already in a variable in the dataset. If so, that variable should be specified as frequency or analytic weights. If no weights are specified, vennbar counts observations for you. The display by default uses graph hbar but may optionally be recast as using graph bar (which is not usually advised) or as using graph dot (which may appeal). The reduced dataset used by vennbar may be saved for future work.

Language: Stata
Requires: Stata version 8.2
Keywords: vennbar; Euler diagram; Venn diagram; bar charts; graphics; genomics (search for similar items in EconPapers)
Date: 2023-01-10, Revised 2023-12-03
Note: This module should be installed from within Stata by typing "ssc install vennbar". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
References: Add references at CitEc
Citations:

Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/v/vennbar.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/v/vennbar.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/s/sortmean.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/s/sortmean.sthlp help file (text/plain)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s459167

Ordering information: This software item can be ordered from
http://repec.org/docs/ssc.php

Access Statistics for this software item

More software in Statistical Software Components from Boston College Department of Economics Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().