Package: ggpcp 0.2.0

ggpcp: Parallel Coordinate Plots in the 'ggplot2' Framework

Modern Parallel Coordinate Plots have been introduced in the 1980s as a way to visualize arbitrarily many numeric variables. This Grammar of Graphics implementation also incorporates categorical variables into the plots in a principled manner. By separating the data managing part from the visual rendering, we give full access to the users while keeping the number of parameters manageably low.

Authors:Heike Hofmann [aut, cre], Susan VanderPlas [aut], Yawei Ge [aut]

ggpcp_0.2.0.tar.gz
ggpcp_0.2.0.zip(r-4.5)ggpcp_0.2.0.zip(r-4.4)ggpcp_0.2.0.zip(r-4.3)
ggpcp_0.2.0.tgz(r-4.5-any)ggpcp_0.2.0.tgz(r-4.4-any)ggpcp_0.2.0.tgz(r-4.3-any)
ggpcp_0.2.0.tar.gz(r-4.5-noble)ggpcp_0.2.0.tar.gz(r-4.4-noble)
ggpcp_0.2.0.tgz(r-4.4-emscripten)ggpcp_0.2.0.tgz(r-4.3-emscripten)
ggpcp.pdf |ggpcp.html✨
ggpcp/json (API)
NEWS

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

Bug tracker:https://github.com/heike/ggpcp/issues

Pkgdown site:https://heike.github.io

Datasets:
  • Carcinoma - Data set: Assessment of Carcinoma slides
  • nasa - Data set: NASA - Data Expo 2006

On CRAN:

Conda-Forge:

3.86 score 1 stars 73 scripts 192 downloads 13 exports 37 dependencies

Last updated 25 days agofrom:84481b0fb2. Checks:4 OK, 4 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 09 2025
R-4.5-winOKFeb 09 2025
R-4.5-macOKFeb 09 2025
R-4.5-linuxOKFeb 09 2025
R-4.4-winNOTEFeb 09 2025
R-4.4-macNOTEFeb 09 2025
R-4.3-winNOTEFeb 09 2025
R-4.3-macNOTEFeb 09 2025

Exports:aes_pcpgeom_pcpgeom_pcp_axesgeom_pcp_boxesgeom_pcp_labelsGeomPcpGeomPcp_axesGeomPcp_boxesGeomPcp_labelspcp_arrangepcp_scalepcp_selecttheme_pcp

Dependencies:assertthatclicolorspacecpp11dplyrfansifarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigpurrrR6RColorBrewerrlangscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr