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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.

Version: 0.2.0
Depends: R (≥ 4.1.0)
Imports: assertthat (≥ 0.2.1), dplyr (≥ 1.0.7), ggplot2 (≥ 3.3.5), rlang (≥ 0.4.11), tibble (≥ 3.1.4), tidyselect (≥ 1.1.1), tidyr (≥ 1.1.3)
Suggests: knitr, rmarkdown, purrr, testthat, GGally
Published: 2022-11-28
DOI: 10.32614/CRAN.package.ggpcp
Author: Heike Hofmann ORCID iD [aut, cre], Susan VanderPlas ORCID iD [aut], Yawei Ge [aut]
Maintainer: Heike Hofmann <hofmann at iastate.edu>
BugReports: https://github.com/heike/ggpcp/issues
License: GPL-3
URL: https://github.com/heike/ggpcp
NeedsCompilation: no
Materials: NEWS
CRAN checks: ggpcp results

Documentation:

Reference manual: ggpcp.pdf

Downloads:

Package source: ggpcp_0.2.0.tar.gz
Windows binaries: r-devel: ggpcp_0.2.0.zip, r-release: ggpcp_0.2.0.zip, r-oldrel: ggpcp_0.2.0.zip
macOS binaries: r-release (arm64): ggpcp_0.2.0.tgz, r-oldrel (arm64): ggpcp_0.2.0.tgz, r-release (x86_64): ggpcp_0.2.0.tgz, r-oldrel (x86_64): ggpcp_0.2.0.tgz

Reverse dependencies:

Reverse suggests: Guerry

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.