R Observatory: Metrics for ggInterval version 0.2.5

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

ggInterval

0.2.5Package record

Visualizing Interval-Valued Data Using 'ggplot2'

0packages dependsuggested by 1

2.7Kdownloads / year

37.7%test coverage

13/13flavors OK

Overview

About

Maintained by Han-Ming WuCRAN page ↗GitHub ↗Issues ↗

Extends 'ggplot2' for visualizing interval-valued data with scatter plots, histograms, index plots, boxplots, radar plots, PCA displays, and correlation heatmaps. The package also converts classical data tables into interval-valued data using clustering algorithms or user-defined groupings.

Install

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

install.packages("ggInterval", 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("hanmingwu1103/ggInterval")

Development version from hanmingwu1103/ggInterval. 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-gginterval

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-ggInterval

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-ggInterval

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: 8.0 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.2.5

README· In the repository, left out of the releaseVignettesYes · 1 · evaluation depends on the environmentNEWSNoCitation fileYes · computed when R runs itWebsitenot declared in DESCRIPTION

Help pages: 33
Examples that run: 86%25 run in a plain check · 4 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 83%
Documented parameters: 91%
Return-value docs: 91%
Help pages citing references: 30%

Vignettes (1)

Introduction to ggInterval

How these are measured

Downloads

2.7K

CRAN downloads in the past year

Rank #13,524 · ~7/day · ~223/mo

Releases R versions

Daily download trend is not available in this view yet.

32630 days

85790 days

2.7K1 year

Compare downloads with other packages →

Also on58 r2u4 autocran

How downloads are counted

Repository

hanmingwu1103/gginterval ↗Account: hanmingwu1103

2Stars

1Forks

0Open issues

0Open PRs

4Releases

19Commits

1Commit identities

crandata-visualizationedaexploratory-data-analysisggplot2interval-datarr-package

19 commits · Last activity 2026-04-28

Responsiveness

not measured

How these are measured

PracticesBeta

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

Checks run against github.com/hanmingwu1103/gginterval on 2026-10-18.

CRAN release process (1)

cran-comments.md

Automation and maintenance (1)

pre-commit

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

24 external dependencies (excludes base and recommended)

Installing ggInterval adds 205 packages (101 with compiled code, 152 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (4)

R >= 4.4.0ggplot2 tidyverse RSDA

Imports (14)

rlang R6 dplyr tidyr gridExtra gtools stringr prodlim ggforce ggpubr ggthemes tibble magrittr vctrs

LinkingTo (0)

none

Suggests (7)

testthat knitr rmarkdown data.table HistDAWass MAINT.Data TTR

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Suggested by 1

Suggests, most downloaded first

dataSDA

How these are counted

Code & Tests

Datasets

People & History

People (2)

Han-Ming Wu

Maintainer since 0.2.4 (2026)

Bo-Syue Jiang

Author

Releases (2)

Pick two releases to compare their code metrics.

0.2.5Latest
record
2026-04-28 · current release · diff ↗ ·
added 4 exports
ggInterval_corrplot, ggInterval_lineplot, ggInterval_tsplot, sd
R
R 4.6.0 released · 2026-04-24
0.2.4
record
2026-02-23
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2026-02-23
Total releases: 2 / 1 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 4.4.0
Bundled data: 11 KB / 10 files
Download size: 938 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ggInterval")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

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 ggInterval version 0.2.5 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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