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
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gghdr_0.1.0.9000.tgz(r-4.4-any)gghdr_0.1.0.9000.tgz(r-4.3-any)
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gghdr.pdf |gghdr.html
gghdr/json (API)

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

Peer review:

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

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

On CRAN:

4.73 score 50 stars 36 scripts 42 downloads 11 exports 41 dependencies

Last updated 3 years agofrom:27fbf584cd. Checks:ERROR: 7. Indexed: no.

TargetResultDate
Doc / VignettesFAILNov 04 2024
R-4.5-winERRORNov 04 2024
R-4.5-linuxERRORNov 04 2024
R-4.4-winERRORNov 04 2024
R-4.4-macERRORNov 04 2024
R-4.3-winERRORNov 04 2024
R-4.3-macERRORNov 04 2024

Exports:geom_hdr_boxplotgeom_hdr_rugGeomHdrBoxplotGeomHdrRugguide_probhdr_binscale_prob_identitystat_hdrstat_hdrcdeStatHdrStatHdrcde

Dependencies:ashclicolorspacedigestfansifarverFNNggplot2gluegtablehdrcdeisobandkernlabKernSmoothkslabelinglatticelifecyclelocfitmagrittrMASSMatrixmclustmgcvmulticoolmunsellmvtnormnlmepillarpkgconfigpracmaR6RColorBrewerRcpprlangscalestibbleutf8vctrsviridisLitewithr