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hierarchicalSets

1.0.4

Set Data Visualization Using Hierarchies

0packages depend
2.7Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

Pure set data visualization approaches are often limited in scalability due to the combinatorial explosion of distinct set families as the number of sets under investigation increases. hierarchicalSets applies a set centric hierarchical clustering of the sets under investigation and uses this hierarchy as a basis for a range of scalable visual representations. hierarchicalSets is especially well suited for collections of sets that describe comparable comparable entities as it relies on the sets to have a meaningful relational structure.

Changes in 1.0.4
  • Fix use of deprecated functionality from Matrix

From NEWS.md in the release

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Thomas Lin Pedersen <thomasp85@gmail.com>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = c("Thomas", "Lin"),
                    family = "Pedersen",
                    role = c("aut", "cre"),
                    email = "thomasp85@gmail.com")
as necessary.

CRAN check page ↗

Slowest check: 3.8 min · r-devel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTENow
  • NOTE12 OK, 2 NOTE2026-04-22
  • ERROR11 OK, 2 NOTE, 1 ERROR2026-04-18
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.0.4
READMEYes · 896 wordsVignettesNoNEWSYes · 100% structured · mentions 1.0.4Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
10 (1 internal)includes a package overview page
Examples that run
100%6 run in a plain check
Exported functions with examples
86%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

2.7K
CRAN downloads in the past year
Rank #14,361 · ~7/day · ~222/mo
Daily download trend is not available in this view yet.
32730 days
80590 days
2.7K1 year
Compare downloads with other packages →
Also on358 r2u11 autocran

Dependencies

Declared dependencies
9 external dependencies (excludes base and recommended)

Installing hierarchicalSets adds 22 packages (8 with compiled code, 22 MB of source tarballs). Heaviest: ggplot2 6.0 MB, patchwork 3.2 MB, viridis 2.9 MB.

Depends (1)
R >= 3.2.0
Imports (14)
LinkingTo (1)
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (from the free-text Author field) (1)

Maintainer since 1.0.1 (2016)

Releases (3)

Pick two releases to compare their code metrics.

  • 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
  • unarchivedReturned to CRAN
    2023-04-24
  • 1.0.4Latest
    record
    2023-04-24 · current release · diff ↗ ·
    added 1 export
    set_sizes
  • R
    R 4.3.0 released · 2023-04-21
  • archivedRemoved from CRAN
    2023-04-18
    issues were not corrected in time
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • 1.0.2
    record
    2016-04-12 · diff ↗ ·
    added 3 exports
    cluster_members, cluster_sizes, set_membership
  • 1.0.1
    record
    2016-04-10
Show 1 earlier eventHide 1 earlier event
  • R
    R 3.2.0 released · 2015-04-16

Package metadata

First published
2016-04-10
Total releases
3 / 10 yrs
License
MIT + file LICENSE OSI · relicensed from GPL (>= 2) in 1.0.4
Minimum R
≥ 3.2.0
Bundled data
70 KB / 1 file
Download size
449 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("hierarchicalSets")

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 hierarchicalSets version 1.0.4 [Data set]. HJJB, LLC. Data release v2026-10-17. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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