R Observatory: Metrics for PCA4you version 1.2.4

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

This package was removed from CRAN on 2021-04-29. Its history is shown below.

Reason: check problems were not corrected in time

Details below reflect version 1.2.4, its last release before removal.

PCA4you

1.2.4

PCA Plotting in a User Friendly Way

0packages depend

–downloads / year

–test coverage

–checks pass

Overview

About

Maintained by Martin Berntsson1 releasesCRAN page ↗

A central part of using PCA and similar methods are creating and using plots. Visual inspection of these plots is an extremely powerful way of understanding your matrix-form data. Doing this is essential when applying multivariate methods on real-life matrix data. This package provides plots, tailor made for understanding a PCA model on a matrix dataset. We have worked to design plots that supports the mathematical properties of PCA, but still easy to use and understand. The flexibility of the plotting capacity of R has been utilized to create a look and feel that supports the understanding of the PCA model. In addition to that, this package contains a prediction function, using PCA to fill "holes" in a matrix. This package does not provide you with the scores and loadings etc in numeric form. This is provided through the underlying package 'mixOmics' which is the basis of this package. In addition, applied PCA on real life data requires flexibility. The original way of calculating a PCA is by using the method SVD, used in e.g. 'stats' package. This is preferred from a precision point of view. But 'PCA4you' is based on the method NIPALS for calculating the PCA model. Hence, the following cases, which are not (or poorly) supported by SVD, are fully supported by 'PCA4you': 1) Non complete matrices with little or a lot of missing values 2) More row than columns, sometimes a huge difference 3) More columns than rows, sometimes a huge difference 4) Complete decomposition is not possible or desired. Sometimes all components can not be calculated for different reasons. Big data, system resources or time can limit the desired number of principal components.

Install

R (source archive)

url <- "https://cran.r-project.org/src/contrib/Archive/PCA4you/PCA4you_1.2.4.tar.gz"
pkgFile <- "PCA4you_1.2.4.tar.gz"
download.file(url, pkgFile)
install.packages(pkgFile, type = "source", repos = NULL)

This package is no longer on CRAN, so install.packages() cannot fetch it by name. This downloads the last archived source (1.2.4) and builds it locally. Install its dependencies first, and note that building from source needs the usual compiler toolchain.

Health

CRAN checks

CRAN check results are not tracked yet.

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

1

Dependencies · direct

Documentation

READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 0%
References docs: 0%

Downloads

PCA4you Releases R versions

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Dependencies

Declared dependencies

1 external dependency (excludes base and recommended)

Depends (0)

none

Imports (1)

mixOmics

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

–indirect (not tracked)

Nothing depends on this yet.

Code & Tests

People & History

People (2)

Other (2)

Martin Berntsson

Contributor

Philip Anton de Saint-Aubain

Contributor

Package Timeline

1 release. R releases are shown for context.

R
R 4.1.0 released · 2021-05-18
archivedRemoved from CRAN
2021-04-29
check problems were not corrected in time
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
1.2.4
2017-10-22
R
R 3.4.0 released · 2017-04-21

Package metadata

Total releases: 1
License: GPL (>= 2) OSI
Download size: not tracked yet
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("PCA4you")

Format

Berntsson, M., & de Saint-Aubain, P. A. (n.d.). PCA4you: PCA Plotting in a User Friendly Way (Version 1.2.4) [Computer software]. Retrieved August 13, 2026, from https://CRAN.R-project.org/package=PCA4you

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for PCA4you version 1.2.4 [Data set]. HJJB, LLC. Data release v2026-08-13. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-13, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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