bitbucket-bklamer. To fix this you can add URL: https://bklamer.r-universe.dev/vclust to the package DESCRIPTION file. See also theR-universe documentation.Package: vclust 0.0.1
vclust: Weighted Clustering of Quantitative and Categorical Variables
Methods for weighted hierarchical clustering of variables. Variables may be quantitative, categorical, or a mixture of both. Following the selection of a cutpoint, the resulting clusters may be summarized by their first principal component score for the purpose of dimensionality reduction.
Authors:
vclust_0.0.1.tar.gz
vclust_0.0.1.zip(r-4.7-any)vclust_0.0.1.zip(r-4.6-any)vclust_0.0.1.zip(r-4.5-any)
vclust_0.0.1.tgz(r-4.6-any)vclust_0.0.1.tgz(r-4.5-any)
vclust_0.0.1.tar.gz(r-4.7-any)vclust_0.0.1.tar.gz(r-4.6-any)
vclust_0.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
vclust/json (API)
| # Install 'vclust' in R: |
| install.packages('vclust', repos = c('https://bklamer.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://bitbucket.org/bklamer/vclust
Last updated from:dbc7f7ec20. Checks:7 ERROR, 2 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | ERROR | 154 | ||
| source / vignettes | OK | 274 | ||
| linux-release | ERROR | 165 | ||
| macos-release | ERROR | 149 | ||
| macos-oldrel | ERROR | 179 | ||
| windows-devel | ERROR | 112 | ||
| windows-release | ERROR | 115 | ||
| windows-oldrel | ERROR | 150 | ||
| wasm-release | OK | 119 |
Exports:build_treecor_matrixcor_sq_matrixcut_treefamdweighted_cancorweighted_cancor_sqweighted_corweighted_cor_sqweighted_etaweighted_eta_sq
Dependencies:abindbackportsbase64encbootbroombslibcachemcarcarDatacliclustercolorspacecowplotcpp11crosstalkDerivdigestdoBydplyrDTellipseemmeansestimabilityevaluateFactoMineRfarverfastmapflashClustfontawesomeforecastFormulafracdifffsgenericsggplot2ggrepelgluegtablehighrhtmltoolshtmlwidgetsirlbaisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevalleapslifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmemoisemgcvmimeminqamodelrmultcompViewmvtnormnlmenloptrnnetnumDerivotelpbkrtestpillarpkgconfigpromisespurrrquantregR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangrmarkdownS7sassscalesscatterplot3dshowtextshowtextdbSparseMstringistringrsurvivalsysfontstibbletidyrtidyselecttimeDatetinytexurcautf8vctrsviridisLitewithrxfunyamlzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Weighted hierarchical clustering of variables | build_tree |
| Weighted Pearson correlation matrix | cor_matrix |
| Weighted squared association matrix for mixed data | cor_sq_matrix |
| Partition a tree from 'build_tree()' | cut_tree |
| Factor Analysis for Mixed Data | famd |
| Dendrogram of the hierarchical clustering of variables | plot.build_tree |
| Weighted canonical correlation for categorical variables | weighted_cancor weighted_cancor_sq |
| Weighted Pearson correlation | weighted_cor weighted_cor_sq |
| Weighted eta association | weighted_eta weighted_eta_sq |