R Observatory: Metrics for ggbiplot version 0.6.5

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

ggbiplot

0.6.5Package record

A Grammar of Graphics Implementation of Biplots

2packages dependsuggested by 2

35.5Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Michael FriendlyCRAN page ↗GitHub ↗Website ↗Issues ↗

A 'ggplot2' based implementation of biplots, giving a representation of a dataset in a two dimensional space accounting for the greatest variance, together with variable vectors showing how the data variables relate to this space. It provides a replacement for stats::biplot(), but with many enhancements to control the analysis and graphical display. It implements biplot and scree plot methods which can be used with the results of prcomp(), princomp(), FactoMineR::PCA(), ade4::dudi.pca() or MASS::lda() and can be customized using 'ggplot2' techniques.

Changes in 0.6.5

Now Depends R (>= 4.1.0) to handle |>
Added lda() objects to those handled by reflect()
Illustrate reflection in ggbiplot examples
Added ggvector(), exported, to draw labeled vectors from a common origin using ggarrow::geom_arrow_segment(). ggbiplot() now uses this internally to draw variable vectors and their labels, replacing the previous geom_segment() + grid::arrow() code. ggarrow is now a package dependency (Imports).
ggbiplot() gains a varname.gap argument to pull variable-vector arrowheads back (in mm) from their true endpoint, e.g. to keep them clear of the correlation circle or of crowded labels. Exposed on ggvector() as gap.
ggvector()'s (and so ggbiplot()'s) default arrow linewidth is now 0.9, down from 1.4 (which matched the shaft width of the old grid::arrow()-based rendering). ggarrow's default arrow_head_wings() ornament reads visually heavier than the old plain triangular arrowhead at the same linewidth, so 1.4 now looks noticeably thicker than the pre-ggarrow arrows did; 0.9 was chosen to look comparable. Use vector.args = list(linewidth = 1.4) to get the old shaft weight back.

Show all changes in 0.6.5Hide the rest of the changes in 0.6.5

ggbiplot() gains a vector.args argument: a named list forwarded to the ggvector() call that draws the variable-vector arrows, e.g. list(arrow_head = ggarrow::arrow_head_line()) for a different arrowhead shape. Anything not matched by a ggvector() argument passes on to ggarrow::geom_arrow_segment() (justify, force_arrow, sep, distort, ...).

From NEWS.md in the release

Install

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

install.packages("ggbiplot", 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("friendly/ggbiplot")

Development version from friendly/ggbiplot. 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-ggbiplot

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

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-ggbiplot

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-ggbiplot

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 1.6 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-09-19
NOTE3 OK, 11 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.6.5

READMEYes · 832 wordsVignettesNoNEWSYes · 67% structured · mentions 0.6.5Citation fileNoWebsiteYes · pkgdown

Help pages: 7
Examples that run: 100%7 run in a plain check
Exported functions with examples: 100%
Documented parameters: 97%
Return-value docs: 100%
Help pages citing references: 43%

How these are measured

Downloads

35.5K

CRAN downloads in the past year

Rank #2,022 · ~97/day · ~3K/mo

Releases R versions

Daily download trend is not available in this view yet.

4.2K30 days

9K90 days

35.5K1 year

Compare downloads with other packages →

Also on435 r2u7 autocran1.8K bioconda

How downloads are counted

Repository

friendly/ggbiplot ↗Account: friendlyFork of vqv/ggbiplot

17Stars

0Forks

3Open issues

0Open PRs

3Releases

137Commits

5Commit identities

biplotdata-visualizationdimension-reductionprincipal-component-analysis

137 commits · Last activity 2026-09-10 · 0% stars, 30d · Default branch at 0.6.6, ahead of CRAN 0.6.5 (checked 2026-10-11)

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: 545
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2024-11-20 · 122026-09-07 · 17

How these are measured

PracticesBeta

6 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/friendly/ggbiplot on 2026-10-11.

Docs source (3)

README.Rmdpkgdown

GitHub Pages site last deployed 2026-09-10

pkgdown site last built 2026-08-04, before release 0.6.5 (2026-09-07)

CRAN release process (2)

cran-comments.mdrevdep/

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v3 (2026-09-26)

AI coding toolsBeta

This repository shows signs of AI coding tools.

Claude Codefirst seen on or before 2026-09-04
Named in .Rbuildignore: .claude
Commits: some crediting it in the message, count not recorded

How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies

7 external dependencies (excludes base and recommended)

Installing ggbiplot adds 19 packages (8 with compiled code, 14 MB of source tarballs). Heaviest: ggplot2 6.0 MB, isoband 1.5 MB, farver 1.2 MB.

Depends (2)

R >= 4.1.0ggplot2

Imports (2)

ggarrow scales

LinkingTo (0)

none

Suggests (5)

corrplot dplyrMASSbroom tidyr

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

2direct

0indirect

Imports 2

Suggested by 2

Depends, Imports or LinkingTo, most downloaded first

CoDaLoMic OceanTracer

Suggests, most downloaded first

heplots pPCA

How these are counted

Code & Tests

Datasets

People & History

People (3)

Michael Friendly

Author, Maintainer since 0.6.1 (2023)

Vincent Q. Vu

Author

Aghasi Tavadyan

Contributor

Listed in earlier versions (2)

Vincent Vu

no longer listed · 0.6.1

Vincent Q.

no longer listed · 0.6.2 to 0.6.5

Releases (3)

Pick two releases to compare their code metrics.

0.6.5Latest
record
2026-09-07 · current release · diff ↗ ·
added 1 export
ggvector
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
0.6.2
record
2024-01-09 · diff ↗ ·
added 1 export
get_SVD
0.6.1
record
2023-12-17
R
R 4.3.0 released · 2023-04-21

Package metadata

First published: 2023-12-17
Total releases: 3 / 3 yrs
License: GPL-2 OSI
Minimum R: ≥ 4.1.0
Bundled data: 7.0 KB / 2 files
Download size: 245 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ggbiplot")

Format

Friendly, M., Tavadyan, A., & Vu, V. Q. (2026). ggbiplot: A Grammar of Graphics Implementation of Biplots (Version 0.6.5) [Computer software]. https://doi.org/10.32614/CRAN.package.ggbiplot

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for ggbiplot version 0.6.5 [Data set]. HJJB, LLC. Data release v2026-10-19. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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