Package: gclus 1.3.2

gclus: Clustering Graphics

Orders panels in scatterplot matrices and parallel coordinate displays by some merit index. Package contains various indices of merit, ordering functions, and enhanced versions of pairs and parcoord which color panels according to their merit level.

Authors:Catherine Hurley

gclus_1.3.2.tar.gz
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gclus.pdf |gclus.html✨
gclus/json (API)

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

Peer review:

Datasets:
  • bank - Swiss bank notes data
  • body - Exploring Relationships in Body Dimensions
  • ozone - Ozone data from Breiman and Friedman, 1985
  • wine - Wine recognition data

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

8.26 score 83 packages 448 scripts 27k downloads 6 mentions 28 exports 1 dependencies

Last updated 6 years agofrom:c27795bfae. Checks:OK: 5 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 12 2024
R-4.5-winNOTENov 12 2024
R-4.5-linuxNOTENov 12 2024
R-4.4-winOKNov 12 2024
R-4.4-macOKNov 12 2024
R-4.3-winOKNov 12 2024
R-4.3-macOKNov 12 2024

Exports:acclus2memshipcolpairscpairscparcoorddefault.dmat.colordiag.offdiameterdmat.colorgavegtotimageinfokm2lower2upper.tri.indsmemship2clusorder.clustersorder.endlinkorder.hclustorder.singlepartition.critpcglenpclenplotcolorsreorder.hclustsilstarvec2distvec2distm

Dependencies:cluster

Clustering Graphics

Catherine Hurley

Rendered fromgclus.Rmdusingknitr::rmarkdownon Nov 12 2024.

Last update: 2019-01-07
Started: 2019-01-07