R Observatory: Metrics for LearnPCA version 0.3.4

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

LearnPCA

0.3.4

Functions, Data Sets and Vignettes to Aid in Learning Principal Components Analysis (PCA)

0packages depend

7.9Kdownloads / year

10.9%test coverage

13/13checks pass

Overview

About

Maintained by Bryan A. HansonFirst published 2022-02-035 releasesCRAN page ↗GitHub ↗

Principal component analysis (PCA) is one of the most widely used data analysis techniques. This package provides a series of vignettes explaining PCA starting from basic concepts. The primary purpose is to serve as a self-study resource for anyone wishing to understand PCA better. A few convenience functions are provided as well.

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("LearnPCA", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("bryanhanson/LearnPCA")

Development version from bryanhanson/LearnPCA. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-learnpca

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-LearnPCA

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-LearnPCA

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 5.6 min · r-release-windows-x86_64

Code health

Yes

Tests · ratio 0.00

10.9%

Coverage · measured lines

100%

Documentation · exports

7

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
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
OK2026-04-25
12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Show 2 earlier snapshots

ERROR2026-03-30
13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 67%
References docs: 0%

Downloads

7.9K

CRAN downloads in the past year

Rank #5,280 · ~22/day · ~658/mo

Releases R versions

Daily download trend is not available in this view yet.

22230 days

1.5K90 days

7.9K1 year

Compare downloads with other packages →

Also on134 r2u16 autocran42 c2d4u

Repository

GitHub ↗ bryanhanson/learnpca

14Stars

4Forks

2Open issues

0Open PRs

0Releases

338Commits

3Contributors

338 commits · Last activity 2024-05-17 · 0% stars, 30d

Stars over time

2025-05-23 · 112026-07-07 · 14

Repository practices

Upstream repositoryBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/bryanhanson/learnpca on 2026-08-09.

Continuous integration (1)

GitHub Actions

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

15 external dependencies (excludes base and recommended)

Depends (3)

rpartclassnnet

Imports (4)

markdown shinystatsgraphics

LinkingTo (0)

none

Suggests (13)

ChemoSpec chemometrics knitr tinytest roxut rmarkdown plot3D ade4 plotrix latex2exp plotly xtable bookdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (2)

Maintainer (1)

Bryan A. Hanson

Author, Maintainer

Authors (2)

Bryan A. Hanson

Author, Maintainer

David T. Harvey

Author

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
0.3.4Latest
2024-04-26 · current release · diff ↗
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
0.2.0
2022-05-02 · diff ↗
R
R 4.2.0 released · 2022-04-22
0.1.4
2022-03-31 · diff ↗
0.1.3
2022-03-12 · diff ↗
0.1.1
2022-02-03
R
R 4.1.0 released · 2021-05-18

Package metadata

First published: 2022-02-03
Total releases: 5 / 4 yrs
License: GPL-3 OSI
Download size: 1.3 MB
Installed size: not tracked yet
With dependencies: not tracked yet

Appears in task views

Chemometrics and Computational Physics

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("LearnPCA")

Format

Hanson, B. A., & Harvey, D. T. (2024). LearnPCA: Functions, Data Sets and Vignettes to Aid in Learning Principal Components Analysis (PCA) (Version 0.3.4) [Computer software]. https://doi.org/10.32614/CRAN.package.LearnPCA

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 LearnPCA version 0.3.4 [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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