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Umatrix

4.0.2

Visualization of Structures in High-Dimensional Data

1packages depend
11.4Kdownloads / year
test coverage
11/13checks pass

Overview

About
Maintained by Jorn LotschFirst published 2017-12-128 releasesCRAN page ↗

By gaining the property of emergence through self-organization, the enhancement of SOMs(self organizing maps) is called Emergent SOM (ESOM). The result of the projection by ESOM is a grid of neurons which can be visualised as a three dimensional landscape in form of the Umatrix. Further details can be found in the referenced publications (see url). This package offers tools for calculating and visualising the ESOM as well as Umatrix, Pmatrix and UStarMatrix. All the functionality is also available through graphical user interfaces implemented in 'shiny'. Based on the recognized data structures, the method can be used to generate new data.

Install

Health

CRAN checks
2NOTE11OK
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-clang
  • NOTE r-devel-linux-x86_64-debian-gcc
Slowest check: 4.9 min · r-devel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
17
Dependencies · direct
Check history
  • NOTE2026-07-11
    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
  • OK2026-04-22
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
Show 3 earlier snapshots
  • OK2026-04-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-09
    13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
58%
Documented parameters
100%
Return-value docs
92%
References docs
100%

Downloads

11.4K
CRAN downloads in the past year
Rank #4,654 · ~31/day · ~951/mo
Daily download trend is not available in this view yet.
27730 days
1.7K90 days
11.4K1 year
Compare downloads with other packages →
Also on379 r2u20 autocran

Dependencies

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

Code & Tests

People & History

People (6)
Maintainer (1)
Author, Maintainer · added in 3.4.1
Authors (4)
Author, Maintainer · added in 3.4.1
Contributors (2)
Contributor
Contributor
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • 4.0.2Latest
    2025-05-28 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 4.0.1
    2024-08-17 · diff ↗
  • 4.0
    2024-04-25 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 3.4.1
    2023-11-25 · diff ↗
  • 3.4
    2023-06-14 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 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
  • 3.3
    2020-02-12 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • 3.1
    2017-12-18 · diff ↗
Show 2 earlier events
  • 3.0
    2017-12-12
  • R
    R 3.4.0 released · 2017-04-21

Package metadata

First published
2017-12-12
Total releases
8 / 9 yrs
License
GPL-3 OSI
Minimum R
≥ 3.5.0
Bundled data
6.9 KB / 2 files
Download size
67 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("Umatrix")
Lotsch, J., Lerch, F., Paebst, R., Pape, F., Thrun, M., & Ultsch, A. (2025). Umatrix: Visualization of Structures in High-Dimensional Data (Version 4.0.2) [Computer software]. https://doi.org/10.32614/CRAN.package.Umatrix

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 Umatrix version 4.0.2 [Data set]. HJJB, LLC. Data release v2026-08-15. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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