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
gclus_1.3.2.zip(r-4.5)gclus_1.3.2.zip(r-4.4)gclus_1.3.2.zip(r-4.3)
gclus_1.3.2.tgz(r-4.4-any)gclus_1.3.2.tgz(r-4.3-any)
gclus_1.3.2.tar.gz(r-4.5-noble)gclus_1.3.2.tar.gz(r-4.4-noble)
gclus_1.3.2.tgz(r-4.4-emscripten)gclus_1.3.2.tgz(r-4.3-emscripten)
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.

28 exports 8.18 score 1 dependencies 82 dependents 6 mentions 404 scripts 25.6k downloads

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

TargetResultDate
Doc / VignettesOKOct 13 2024
R-4.5-winNOTEOct 13 2024
R-4.5-linuxNOTEOct 13 2024
R-4.4-winOKOct 13 2024
R-4.4-macOKOct 13 2024
R-4.3-winOKOct 13 2024
R-4.3-macOKOct 13 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 Oct 13 2024.

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