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Umatrix

4.0.2Package record

Visualization of Structures in High-Dimensional Data

0packages dependsuggested by 1
10.4Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

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
Check messages
NOTERd contentsr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Rd files without \usage:
  ‘esomTrain.Rd’ ‘iClassification.Rd’ ‘iEsomTrain.Rd’ ‘iUmapIsland.Rd’
  ‘iUstarmatrix.Rd’ ‘plotMatrix.Rd’ ‘pmatrixForEsom.Rd’
  ‘showMatrix3D.Rd’ ‘umatrixForEsom.Rd’ ‘ustarmatrixCalc.Rd’
\arguments should not be documented without \usage.

CRAN check page ↗

Slowest check: 4.4 min · r-devel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTE2026-09-08
  • ERROR10 OK, 2 NOTE, 1 ERROR2026-09-07
  • NOTE12 OK, 1 NOTE2026-07-11
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
Show 5 earlier changesHide 5 earlier changes
  • OK14 OK2026-04-22
  • ERROR13 OK, 1 ERROR2026-04-18
  • OK14 OK2026-04-10
  • ERROR13 OK, 1 ERROR2026-04-09
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 4.0.2
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
15includes a package overview page
Examples that run
58%7 run in a plain check · 5 never run
Exported functions with examples
83%
Documented parameters
100%
Return-value docs
92%
Help pages citing references
100%

Downloads

10.4K
CRAN downloads in the past year
Rank #5,165 · ~28/day · ~865/mo
Daily download trend is not available in this view yet.
60830 days
1.6K90 days
10.4K1 year
Compare downloads with other packages →
Also on339 r2u7 autocran

Dependencies

Declared dependencies
17 external dependencies (excludes base and recommended)

Installing Umatrix adds 91 packages (54 with compiled code, 90 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (1)
R >= 3.5.0
LinkingTo (1)
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect
Suggested by 1
Suggests, most downloaded first

Datasets

People & History

People (6)
Author, Maintainer since 3.4.1 (2023) · added in 3.4.1
Contributor
Contributor

Previously maintained by Florian Lerch (3.0 to 3.4).

Releases (8)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 4.0.2Latest
    record
    2025-05-28 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 4.0.1
    record
    2024-08-17 · diff ↗
  • 4.0
    record
    2024-04-25 · diff ↗ ·
    added 2 exports
    calculate_Delauny_radius, generate_data
  • R
    R 4.4.0 released · 2024-04-24
  • 3.4.1
    record
    2023-11-25 · diff ↗
  • 3.4
    record
    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
    record
    2020-02-12 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • 3.1
    record
    2017-12-18 · diff ↗
Show 2 earlier eventsHide 2 earlier events
  • 3.0
    record
    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

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 package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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