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PCADSC

0.8.0Package record

Tools for Principal Component Analysis-Based Data Structure Comparisons

0packages depend
2.3Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

A suite of non-parametric, visual tools for assessing differences in data structures for two datasets that contain different observations of the same variables. These tools are all based on Principal Component Analysis (PCA) and thus effectively address differences in the structures of the covariance matrices of the two datasets. The PCASDC tools consist of easy-to-use, intuitive plots that each focus on different aspects of the PCA decompositions. The cumulative eigenvalue (CE) plot describes differences in the variance components (eigenvalues) of the deconstructed covariance matrices. The angle plot presents the information loss when moving from the PCA decomposition of one dataset to the PCA decomposition of the other. The chroma plot describes the loading patterns of the two datasets, thereby presenting the relative weighting and importance of the variables from the original dataset.

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTEdependencies in R coder-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Namespaces in Imports field not imported from:
  ‘Matrix’ ‘pander’
All declared Imports should be used.

CRAN check page ↗

Slowest check: 1.7 min · r-oldrel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTE2026-09-08
  • ERROR11 OK, 1 NOTE, 1 ERROR2026-09-07
  • NOTE9 OK, 5 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.8.0
README· In the repository, left out of the releaseVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
7
Examples that run
100%7 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
14%
Help pages citing references
0%

Downloads

2.3K
CRAN downloads in the past year
Rank #20,157 · ~6/day · ~189/mo
Daily download trend is not available in this view yet.
24930 days
65190 days
2.3K1 year
Compare downloads with other packages →
Also on67 r2u3 autocran

Repository

Moved from annepetersen1/pcadsc.

1Stars
1Forks
0Open issues
0Open PRs
1Releases
185Commits
4Commit identities
rprincipal-component-analysisdata-structuresexploratory-data-visualizations
185 commits · Last activity 2025-05-21 · 0% stars, 30d · Default branch at 0.9.0, ahead of CRAN 0.8.0 (checked 2026-10-18)
Responsiveness
not measured

Stars over time

2020-12-13 · 12026-07-07 · 1
PracticesBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/annepetersen1/pcadsc on 2026-10-18.

CRAN release process (1)
cran-comments.md
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)

Installing PCADSC adds 25 packages (14 with compiled code, 28 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, Rcpp 1.8 MB.

Depends (1)
R >= 3.2.2
Imports (5)
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (2)
Author, Maintainer since 0.8.0 (2017)
Releases (1)
  • 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
  • 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
  • 0.8.0Latest
    2017-04-19 · current release
  • R
    R 3.3.0 released · 2016-05-03

Package metadata

First published
2017-04-19
Total releases
1 / 9 yrs
License
GPL-2 OSI
Minimum R
≥ 3.2.2
Download size
12 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("PCADSC")
Petersen, A. H., & Markussen, B. (2017). PCADSC: Tools for Principal Component Analysis-Based Data Structure Comparisons (Version 0.8.0) [Computer software]. https://doi.org/10.32614/CRAN.package.PCADSC

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 PCADSC version 0.8.0 [Data set]. HJJB, LLC. Data release v2026-10-20. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-20, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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