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>
License: GPL-3
NeedsCompilation: no
Materials: NEWS
CRAN checks: ggpcp results


Reference manual: ggpcp.pdf


Package source: ggpcp_0.2.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


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