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