Package: gghdr 0.1.0.9000

Sayani Gupta

gghdr: Visualisation of Highest Density Regions in 'ggplot2'

Provides 'ggplot2' framework for visualising Highest Density Regions (HDR) <doi:10.1080/00031305.1996.10474359>. This work is based on the package 'hdrcde'<https://pkg.robjhyndman.com/hdrcde/> and displays highest density regions in 'ggplot2' for one and two dimensions and univariate densities conditional on one covariate.

Authors:Mitchell O'Hara-Wild [aut], Stephen Pearce [aut], Ryo Nakagawara [aut], Sayani Gupta [aut, cre], Darya Vanichkina [aut], Emi Tanaka [aut], Thomas Fung [aut], Rob Hyndman [aut]

gghdr_0.1.0.9000.tar.gz
gghdr_0.1.0.9000.zip(r-4.7)gghdr_0.1.0.9000.zip(r-4.6)gghdr_0.1.0.9000.zip(r-4.5)
gghdr_0.1.0.9000.tgz(r-4.6-any)gghdr_0.1.0.9000.tgz(r-4.5-any)
gghdr_0.1.0.9000.tar.gz(r-4.7-any)gghdr_0.1.0.9000.tar.gz(r-4.6-any)
gghdr_0.1.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
gghdr/json (API)

# Install 'gghdr' in R:
install.packages('gghdr', repos = c('https://robjhyndman.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/sayani07/gghdr/issues

Datasets:
  • faithful - Example dataframe for gghdr
  • lane2 - Example dataframe for gghdr

On CRAN:

Conda:

4.81 score 54 stars 40 scripts 11 downloads 11 exports 39 dependencies

Last updated from:27fbf584cd. Checks:8 ERROR, 1 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64ERROR141
source / vignettesERROR187
linux-release-x86_64ERROR137
macos-release-arm64ERROR112
macos-oldrel-arm64ERROR122
windows-develERROR109
windows-releaseERROR112
windows-oldrelERROR96
wasm-releaseOK142

Exports:geom_hdr_boxplotgeom_hdr_rugGeomHdrBoxplotGeomHdrRugguide_probhdr_binscale_prob_identitystat_hdrstat_hdrcdeStatHdrStatHdrcde

Dependencies:ashclicpp11digestfarverFNNggplot2gluegtablehdrcdeisobandkernlabKernSmoothkslabelinglatticelifecyclelocfitmagrittrMatrixmclustmgcvmulticoolmvtnormnlmepillarpkgconfigpracmaR6RColorBrewerRcpprlangS7scalestibbleutf8vctrsviridisLitewithr