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