Package: visxhclust 1.1.0.9000

visxhclust: A Shiny App for Visual Exploration of Hierarchical Clustering

A Shiny application and functions for visual exploration of hierarchical clustering with numeric datasets. Allows users to iterative set hyperparameters, select features and evaluate results through various plots and computation of evaluation criteria.

Authors:Rafael Henkin [aut, cre]

visxhclust_1.1.0.9000.tar.gz
visxhclust_1.1.0.9000.zip(r-4.7-any)visxhclust_1.1.0.9000.zip(r-4.6-any)visxhclust_1.1.0.9000.zip(r-4.5-any)
visxhclust_1.1.0.9000.tgz(r-4.6-any)visxhclust_1.1.0.9000.tgz(r-4.5-any)
visxhclust_1.1.0.9000.tar.gz(r-4.7-any)visxhclust_1.1.0.9000.tar.gz(r-4.6-any)
visxhclust_1.1.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
visxhclust/json (API)

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

Bug tracker:https://github.com/rhenkin/visxhclust/issues

Pkgdown/docs site:https://rhenkin.github.io

Datasets:

On CRAN:

Conda:

clusteringdata-analysisdata-sciencer-shinyshiny-apps

5.03 score 4 stars 18 scripts 401 downloads 17 exports 112 dependencies

Last updated from:2ab6f789a7. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK178
source / vignettesOK270
linux-releaseOK188
macos-releaseOK237
macos-oldrelOK217
windows-develOK154
windows-releaseOK114
windows-oldrelOK144
wasm-releaseOK144

Exports:annotate_clusterscluster_boxplotscluster_colorscluster_heatmapscompute_clusterscompute_dmatcompute_gapstatcompute_metriccorrelation_heatmapcreate_annotationscut_clustersdmat_projectionfacet_boxplotline_plotoptimal_scoreplot_annotation_distrun_app

Dependencies:base64encBiocGenericsbitbit64bslibbspluscachemcirclizeclassclicliprclueclusterclValidcodetoolscolorspacecommonmarkComplexHeatmapcpp11crayoncrosstalkdendextenddigestdoParalleldplyrDTdunn.testevaluatefarverfastclusterfastmapfontawesomeforeachfsgenericsGetoptLongggplot2GlobalOptionsgluegridExtragtablehighrhmshtmltoolshtmlwidgetshttpuvIRangesisobanditeratorsjquerylibjsonlitekableExtraknitrlabelinglaterlazyevallifecyclelitedownlubridatemagrittrmarkdownmatrixStatsmemoisemimeotelpatchworkpillarpkgconfigpngprettyunitsprogresspromisespurrrR6rappdirsRColorBrewerRcppreadrrjsonrlangrmarkdownrstudioapiS4VectorsS7sassscalesshapeshinyshinycssloadersshinyhelpersourcetoolsstringistringrsvglitesystemfontstextshapingtibbletidyrtidyselecttimechangetinytextzdbutf8vctrsviridisviridisLitevroomwithrxfunxml2xtableyaml

Documenting evaluation
Preprocessing and clustering | Gap statistic | Other measures
Rendered fromclusterevaluation.Rmdusingknitr::rmarkdown

Last update: 2023-03-16
Started: 2021-03-17

visxhclust Shiny app tutorial
Steps for simple iteration | Step 1: Loading data and setting parameters | Step 2: View clustering results | Step 3: Evaluate | Step 4: Change parameters again | Step 5: Review results
Rendered fromvisxhclust.Rmdusingknitr::rmarkdown

Last update: 2022-01-10
Started: 2021-06-09

Documenting a workflow
Preparing | Clustering | Results
Rendered fromclusterworkflow.Rmdusingknitr::rmarkdown

Last update: 2021-10-14
Started: 2021-03-17