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-4.7)ggpcp_0.2.0.zip(r-4.6)ggpcp_0.2.0.zip(r-4.5)
ggpcp_0.2.0.tgz(r-4.6-any)ggpcp_0.2.0.tgz(r-4.5-any)
ggpcp_0.2.0.tar.gz(r-4.7-any)ggpcp_0.2.0.tar.gz(r-4.6-any)
ggpcp_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ggpcp/json (API)

# 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/docs site:https://heike.github.io

Datasets:

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

On CRAN:

5.08 score 2 stars 1 packages 96 scripts 4.2k downloads 14 exports 65 dependencies

Last updated from:9a0d2f4f46. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	198
source / vignettes	OK	189
linux-release-x86_64	OK	150
macos-release-arm64	OK	166
macos-oldrel-arm64	OK	234
windows-devel	OK	112
windows-release	OK	99
windows-oldrel	OK	121
wasm-release	OK	124

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 cpp11 crosstalk curl data.table digest dplyr evaluate farver fastmap fontawesome fs generics ggplot2 glue gtable highr htmltools htmlwidgets httr isoband jquerylib jsonlite knitr labeling later lazyeval lifecycle magrittr memoise mime openssl otel pillar pkgconfig plotly promises purrr R6 rappdirs RColorBrewer Rcpp rlang rmarkdown S7 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