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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 
[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.
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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