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-4.6-any)ggpcp_0.2.0.tar.gz(r-4.5-any)
ggpcp_0.2.0.tgz(r-4.5-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/docs site:https://heike.github.io

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

On CRAN:

Conda:

4.90 score 2 stars 1 packages 92 scripts 2.9k downloads 14 exports 65 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK138
source / vignettesOK219
linux-release-x86_64OK159
macos-release-arm64OK221
macos-oldrel-arm64OK200
windows-develOK110
windows-releaseOK104
windows-oldrelOK105
wasm-releaseOK135

Exports:aes_pcpgeom_pcpgeom_pcp_axesgeom_pcp_boxesgeom_pcp_labelsGeomPcpGeomPcp_axesGeomPcp_boxesGeomPcp_labelspcp_arrangepcp_scalepcp_selecttheme_pcpto_basic.GeomPcp

Dependencies:askpassassertthatbase64encbslibcachemclicpp11crosstalkcurldata.tabledigestdplyrevaluatefarverfastmapfontawesomefsgenericsggplot2gluegtablehighrhtmltoolshtmlwidgetshttrisobandjquerylibjsonliteknitrlabelinglaterlazyevallifecyclemagrittrmemoisemimeopensslotelpillarpkgconfigplotlypromisespurrrR6rappdirsRColorBrewerRcpprlangrmarkdownS7sassscalesstringistringrsystibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml