Package: ggpcp 0.2.0

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.

Authors:Heike Hofmann [aut, cre], Susan VanderPlas [aut], Yawei Ge [aut]

ggpcp_0.2.0.tar.gz
ggpcp_0.2.0.zip(r-4.5)ggpcp_0.2.0.zip(r-4.4)ggpcp_0.2.0.zip(r-4.3)
ggpcp_0.2.0.tgz(r-4.5-any)ggpcp_0.2.0.tgz(r-4.4-any)ggpcp_0.2.0.tgz(r-4.3-any)
ggpcp_0.2.0.tar.gz(r-4.5-noble)ggpcp_0.2.0.tar.gz(r-4.4-noble)
ggpcp_0.2.0.tgz(r-4.4-emscripten)ggpcp_0.2.0.tgz(r-4.3-emscripten)
ggpcp.pdf |ggpcp.html✨
ggpcp/json (API)
NEWS

# Install 'ggpcp' in R:

install.packages('ggpcp', repos = c('https://heike.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/heike/ggpcp/issues

Pkgdown site:https://heike.github.io

Datasets:

Carcinoma - Data set: Assessment of Carcinoma slides
nasa - Data set: NASA - Data Expo 2006

On CRAN:

4.04 score 1 stars 73 scripts 557 downloads 14 exports 71 dependencies

Last updated 20 days agofrom:152d21ee96. Checks:4 OK, 5 NOTE. Indexed: yes.

Target	Result	Latest binary
Doc / Vignettes	OK	Mar 12 2025
R-4.5-win	OK	Mar 12 2025
R-4.5-mac	OK	Mar 12 2025
R-4.5-linux	OK	Mar 12 2025
R-4.4-win	NOTE	Mar 12 2025
R-4.4-mac	NOTE	Mar 12 2025
R-4.4-linux	NOTE	Mar 12 2025
R-4.3-win	NOTE	Mar 12 2025
R-4.3-mac	NOTE	Mar 12 2025

Exports:aes_pcp geom_pcp geom_pcp_axes geom_pcp_boxes geom_pcp_labels GeomPcp GeomPcp_axes GeomPcp_boxes GeomPcp_labels pcp_arrange pcp_scale pcp_select theme_pcp to_basic.GeomPcp

Dependencies:askpass assertthat base64enc bslib cachem cli colorspace cpp11 crosstalk curl data.table digest dplyr evaluate fansi farver fastmap fontawesome fs generics ggplot2 glue gtable highr htmltools htmlwidgets httr isoband jquerylib jsonlite knitr labeling later lattice lazyeval lifecycle magrittr MASS Matrix memoise mgcv mime munsell nlme openssl pillar pkgconfig plotly promises purrr R6 rappdirs RColorBrewer Rcpp rlang rmarkdown sass scales stringi stringr sys tibble tidyr tidyselect tinytex utf8 vctrs viridisLite withr xfun yaml

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Wrapper for aes defaults	aes_pcp
Data set: Assessment of Carcinoma slides	Carcinoma
Generalized Parallel Coordinate plots	geom_pcp
Generalized Parallel Coordinate plots	geom_pcp_axes
Generalized Parallel Coordinate plots	geom_pcp_boxes
Generalized Parallel Coordinate plots	geom_pcp_labels
Proto version of the pcp geoms	GeomPcp GeomPcp_axes GeomPcp_boxes GeomPcp_labels
Data set: NASA - Data Expo 2006	nasa
Data wrangling for GPCPs: Step 3 order observations in factor variables	pcp_arrange
Data wrangling for GPCPs: Step 2 scale values	pcp_scale
Data wrangling for GPCPs: Step 1 variable selection	pcp_select
Theme for parallel coordinate plots	theme_pcp