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ggmatplot

0.1.3Package record

Plot Columns of Two Matrices Against Each Other Using 'ggplot2'

0packages depend
3.9Kdownloads / year
82.2%test coverage
13/13flavors OK

Overview

About

A quick and easy way of plotting the columns of two matrices or data frames against each other using 'ggplot2'. Although 'ggmatplot' doesn't provide the same flexibility as 'ggplot2', it can be used as a workaround for having to wrangle wide format data into long format for plotting with 'ggplot2'.

Changes in 0.1.3
  • Fixed so that class of the input data is preserved when transformed under the hood.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 1.9 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.1.3
READMEYes · 1,035 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 0.1.3Citation fileYes · software entry onlyWebsiteYes · pkgdown
Help pages
1
Examples that run
100%1 run in a plain check
Exported functions with examples
100%
Documented parameters
22%
Return-value docs
100%
Help pages citing references
0%
Vignettes (1)

Downloads

3.9K
CRAN downloads in the past year
Rank #9,381 · ~11/day · ~324/mo
Daily download trend is not available in this view yet.
34430 days
1.1K90 days
3.9K1 year
Compare downloads with other packages →
Also on93 r2u3 autocran

Repository

5Stars
1Forks
0Open issues
0Open PRs
4Releases
227Commits
10Commit identities
r-packagedata-visualization
License file reads as GPL-3.0 · 227 commits · Last activity 2026-05-15 · Default branch at 0.1.3.9000, ahead of CRAN 0.1.3 (checked 2026-10-22)
Responsiveness
How these are sampled
PRs merged (all time)
not measured
Median days to close, 50 most recently updated closed issues
76
Median days to close, 50 most recently updated closed PRs
not measured
PracticesBeta

9 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/xuan-liang/ggmatplot on 2026-10-22.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux

Docs source (4)
README.Rmdpkgdown

GitHub Pages site last deployed 2026-05-15 · The repository has a site deploy workflow

Coverage (1)
Coverage reporting (Codecov)
CRAN release process (1)
cran-comments.md
Show all practicesHide 1 practice
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
8 external dependencies (excludes base and recommended)

Installing ggmatplot adds 17 packages (7 with compiled code, 14 MB of source tarballs). Heaviest: ggplot2 6.0 MB, isoband 1.5 MB, farver 1.2 MB.

Depends (2)
R >= 3.4.0ggplot2
Imports (1)
stats
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (4)
Author, Maintainer since 0.1.0 (2021)
Author
Releases (5)

Pick two releases to compare their code metrics.

  • 0.1.3Latest
    record
    2026-05-12 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.2.1
    record
    2026-02-17 · diff ↗
  • 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
  • 0.1.2
    record
    2022-05-17 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • unarchivedReturned to CRAN
    2022-01-11
  • 0.1.1
    record
    2022-01-11 · diff ↗
  • archivedRemoved from CRAN
    2022-01-06
    check issues were not corrected in time
  • 0.1.0
    record
    2021-12-08
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2021-12-08
Total releases
5 / 5 yrs
License
GPL-3 OSI
Minimum R
≥ 3.4.0
Download size
760 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("ggmatplot")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.5281/zenodo.6610553.

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 ggmatplot version 0.1.3 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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