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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:

Please use the canonical form https://CRAN.R-project.org/package=ggpcp to link to this page.

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.
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