Package: rankinPlot 1.2.0

Hannah Johns

rankinPlot: Convenient Plotting for the Modified Rankin Scale and Other Ordinal Outcome Data

Provides convenient tools for visualising ordinal outcome data following conventions within stroke research literature. It currently supports the "Grotta Bar" approach pioneered by The National Institute of Neurological Disorders and Stroke rt-PA Stroke Study Group (1995) <doi:10.1056/NEJM199512143332401> and Probability-Probability plots for visualising Desirability of Outcome Ranking (DOOR) scales with large numbers of categories proposed by Johns et al. (2026) <doi:10.1177/17474930261475853>.

Authors:Hannah Johns [aut, cre], Andreas Gammelgaard Damsbo [aut], Florian van Leeuwen [aut]

rankinPlot_1.2.0.tar.gz
rankinPlot_1.2.0.zip(r-4.7-any)rankinPlot_1.2.0.zip(r-4.6-any)rankinPlot_1.2.0.zip(r-4.5-any)
rankinPlot_1.2.0.tgz(r-4.6-any)rankinPlot_1.2.0.tgz(r-4.5-any)
rankinPlot_1.2.0.tar.gz(r-4.7-any)rankinPlot_1.2.0.tar.gz(r-4.6-any)
rankinPlot_1.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
rankinPlot/json (API)

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

Bug tracker:https://github.com/hannahjohns/rankinplot/issues

Datasets:
  • alteplase - Effect of time to treatment on efficacy of rt-PA in treating acute stroke
  • remapcap - Effect of hydrocortisone on mortality and organ support in patients with severe COVID-19

On CRAN:

Conda:

4.43 score 3 stars 1 packages 2 scripts 251 downloads 2 exports 17 dependencies

Last updated from:eae889a745. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK90
source / vignettesOK139
linux-releaseOK101
macos-releaseOK76
macos-oldrelOK87
windows-develOK63
windows-releaseOK68
windows-oldrelOK72
wasm-releaseOK94

Exports:grottaBarpp_plot

Dependencies:clicpp11farverggplot2gluegtableisobandlabelinglifecycleR6RColorBrewerrlangS7scalesvctrsviridisLitewithr