R Observatory: Metrics for ggcorrplot version 0.3.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

ggcorrplot

0.3.0

Visualization of a Correlation Matrix using 'ggplot2'

21packages depend

370.8Kdownloads / year

97.6%test coverage

13/13checks pass

Overview

About

Maintained by Alboukadel KassambaraFirst published 2016-01-127 releasesCRAN page ↗GitHub ↗

The 'ggcorrplot' package can be used to visualize easily a correlation matrix using 'ggplot2'. It provides a solution for reordering the correlation matrix and displays the significance level on the plot. It also includes a function for computing a matrix of correlation p-values.

Install

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

install.packages("ggcorrplot", 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("kassambara/ggcorrplot")

Development version from kassambara/ggcorrplot. 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-ggcorrplot

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-ggcorrplot

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-ggcorrplot

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

Health

CRAN checks

13OK

Slowest check: 5.8 min · r-oldrel-macos-x86_64

Code health

Yes

Tests · ratio 3.75

97.6%

Coverage · measured lines

100%

Documentation · exports

4

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
OK2026-07-11
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-03-10
12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 519 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 76%
Return-value docs: 100%
References docs: 0%

Downloads

370.8K

CRAN downloads in the past year

Rank #701 · ~1K/day · ~30.9K/mo

Releases R versions

Daily download trend is not available in this view yet.

24K30 days

77.6K90 days

370.8K1 year

Compare downloads with other packages →

Also on992 r2u12 autocran8K conda_forge

Repository

GitHub ↗ kassambara/ggcorrplot

196Stars

38Forks

1Open issues

0Open PRs

6Releases

167Commits

5Contributors

167 commits · Last activity 2026-07-28 · +0.5% stars, 30d

Stars over time

2025-07-08 · 1862026-08-16 · 196

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/kassambara/ggcorrplot on 2026-08-16.

Continuous integration (1)

GitHub Actions

Reproducibility and dev environment (1)

Makefile

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

Docs source (1)

README.Rmd

Show all practices

Lint, format, editor (1)

RStudio project

Git structural (1)

.gitattributes

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

Dependencies

Declared dependencies

7 external dependencies (excludes base and recommended)

Depends (2)

R >= 3.3ggplot2

Imports (3)

grDevicesreshape2stats

LinkingTo (0)

none

Suggests (5)

testthat knitr rmarkdown spelling vdiffr (>= 1.0.0)

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

21direct

4indirect

EQUALSTATS EvaluateCore MantaID SqueakR StepRegShiny chooseGCM corx cspp ggstatsplot itraxR modgo tRigon tidyCDISC visvaR BrazilCrime ModStatR epca fMRItools partition sigminer simdata

Code & Tests

People & History

People (2)

Maintainer (1)

Alboukadel Kassambara

Author, Maintainer

Authors (1)

Alboukadel Kassambara

Author, Maintainer

Contributors (1)

Indrajeet Patil

Contributor · added in 0.1.4

Package Timeline

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

0.3.0Latest
2026-07-25 · current release · diff ↗
0.2.0
2026-07-08 · diff ↗
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
0.1.4.1
2023-09-05 · diff ↗
R
R 4.3.0 released · 2023-04-21
0.1.4
2022-09-27 · diff ↗
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
0.1.3
2019-05-19 · diff ↗
R
R 3.6.0 released · 2019-04-26
0.1.2
2018-09-11 · diff ↗
R
R 3.5.0 released · 2018-04-23
R
R 3.4.0 released · 2017-04-21

Show 3 earlier events

R
R 3.3.0 released · 2016-05-03
0.1.1
2016-01-12
R
R 3.2.0 released · 2015-04-16

Package metadata

First published: 2016-01-12
Total releases: 7 / 10 yrs
License: GPL-2 OSI
Minimum R: ≥ 3.3
Download size: 3.4 MB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ggcorrplot")

Format

Kassambara, A., & Patil, I. (2026). ggcorrplot: Visualization of a Correlation Matrix using 'ggplot2' (Version 0.3.0) [Computer software]. https://doi.org/10.32614/CRAN.package.ggcorrplot

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 ggcorrplot version 0.3.0 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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