Package: prefviz 0.1.2

Linh Ngo

prefviz: Visualizes Preferential Data in One and More Contests

A visualization toolkit for preferential data, such as ranked-choice election results, tournament outcomes, and survey responses. The package provides methods to visualise the preference distribution of one contest with bar charts and pairwise comparisons of two contestants, as well as methods to visualise multiple contests through 2D and high-dimensional simplex plots both statically and interactively. HD simplex displays are implemented via projection methods using the 'tourr' and 'detourr' packages, enabling dynamic exploration of high-dimensional preference structure. For more details on HD simplex projection, see Wickham et al. (2011) <doi:10.21105/joss.03419>.

Authors:Linh Ngo [aut, cre], Dianne Cook [aut], Damjan Vukcevic [aut]

prefviz_0.1.2.tar.gz
prefviz_0.1.2.zip(r-4.7)prefviz_0.1.2.zip(r-4.6)prefviz_0.1.2.zip(r-4.5)
prefviz_0.1.2.tgz(r-4.6-any)prefviz_0.1.2.tgz(r-4.5-any)
prefviz_0.1.2.tar.gz(r-4.7-any)prefviz_0.1.2.tar.gz(r-4.6-any)
prefviz_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
prefviz/json (API)
NEWS

# Install 'prefviz' in R:
install.packages('prefviz', repos = c('https://numbats.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/numbats/prefviz/issues

Pkgdown/docs site:https://numbats.github.io

Datasets:
  • aecdop_2022 - Distribution of preferences by candidate by division in the Australian Federal Election
  • aecdop_2025 - Distribution of preferences by candidate by division in the Australian Federal Election
  • aecdop22_transformed - Distribution of preferences in wide form for selected parties
  • aecdop25_transformed - Distribution of preferences in wide form for selected parties
  • elb_centroid - Centroids of electoral divisions in the 2025 Australian Federal Election
  • elb_map - Electoral boundaries map for the 2025 Australian Federal Election

On CRAN:

Conda:

5.76 score 1 stars 5 scripts 505 downloads 18 exports 32 dependencies

Last updated from:437b264a89. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK155
source / vignettesOK217
linux-release-x86_64OK164
macos-release-arm64OK153
macos-oldrel-arm64OK145
windows-develOK98
windows-releaseOK90
windows-oldrelOK100
wasm-releaseOK129

Exports:add_ternary_baseadd_vertex_labelsas_ternabledop_bardop_irvdop_transformgeom_ternary_regionget_tern_data2dget_tern_datahdget_tern_edgesget_tern_labelshelmert_transformpairwise_calculatorpairwise_heatmapstat_ordered_pathstat_ternary_regionStatOrderedPathStatTernaryRegion

Dependencies:bitopsclicpp11dplyrfarvergenericsgeozooggplot2gluegtableisobandlabelinglifecyclemagrittrpillarpkgconfigprefiopurrrR6RColorBrewerrlangS7scalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr

Adding ordered path to your ternary plot

Rendered fromadd_ordered_path.Rmdusingknitr::rmarkdownon May 31 2026.

Last update: 2026-04-21
Started: 2026-01-20

Transforming voting data to ternable-friendly format

Rendered fromtransform_raw_data.Rmdusingknitr::rmarkdownon May 31 2026.

Last update: 2026-02-26
Started: 2025-12-18

Using ternable object to draw ternary plots

Rendered fromdraw_ternary_plot.Rmdusingknitr::rmarkdownon May 31 2026.

Last update: 2026-04-21
Started: 2025-12-31