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visxhclust

1.1.0

A Shiny App for Visual Exploration of Hierarchical Clustering

0packages depend
2.9Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Rafael HenkinFirst published 2021-10-192 releasesCRAN page ↗GitHub ↗

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.

Install

Health

CRAN checks
13OK
Slowest check: 4.7 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.09
not tracked
Coverage
100%
Documentation · exports
20
Dependencies · direct
Check history
  • OK2026-08-04
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 468 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
94%
References docs
0%

Downloads

2.9K
CRAN downloads in the past year
Rank #13,010 · ~8/day · ~243/mo
Daily download trend is not available in this view yet.
21530 days
79290 days
2.9K1 year
Compare downloads with other packages →
Also on110 r2u

Repository

Repository
4Stars
0Forks
2Open issues
0Open PRs
2Releases
45Commits
2Contributors
rr-packagerstatsclusteringdata-analysisdata-sciencer-shinyshiny-apps
License GPL-3.0 · 45 commits · Last activity 2025-04-02

Stars over time

2024-04-23 · 42026-07-07 · 4

Repository practices

Upstream repositoryBeta

4 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/rhenkin/visxhclust on 2026-08-23.

Continuous integration (1)
GitHub Actions
CRAN release process (1)
cran-comments.md
Docs source (1)
README.Rmd
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
21 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Package Timeline

2 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 1.1.0Latest
    2023-03-17 · current release · diff ↗
  • unarchivedReturned to CRAN
    2023-03-17
  • archivedRemoved from CRAN
    2023-03-11
    requires archived package 'clusterCrit'
  • R
    R 4.2.0 released · 2022-04-22
  • 1.0.0
    2021-10-19
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2021-10-19
Total releases
2 / 5 yrs
License
GPL-3 OSI
Minimum R
≥ 3.5.0
Bundled data
52 KB / 5 files
Download size
3.5 MB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("visxhclust")
Henkin, R. (2023). visxhclust: A Shiny App for Visual Exploration of Hierarchical Clustering (Version 1.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.visxhclust

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for visxhclust version 1.1.0 [Data set]. HJJB, LLC. Data release v2026-08-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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