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 [aut, cre], Susan VanderPlas [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.html , 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 imports:	pandemonium
Reverse suggests:	Guerry

Linking:

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