R Observatory: Metrics for ggtaichi version 0.1.0

Balamuta, James Joseph

ggtaichi

0.1.0

Taichi-Diagram Visualization for Two Data Sources

0packages depend

371downloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Youzhi YuFirst published 2026-06-241 releasesCRAN page ↗GitHub ↗

A data visualization design that compares two (usually on a par with each other) data sources on one grid of taichi (yin-yang) diagrams, where the two interlocking fish of every symbol are filled by the two sources, while inheriting 'ggplot2' features.

Install

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

install.packages("ggtaichi", 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("PursuitOfDataScience/ggtaichi")

Development version from PursuitOfDataScience/ggtaichi. 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-ggtaichi

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-ggtaichi

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-ggtaichi

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

Health

CRAN checks

13OK

Slowest check: 2.1 min · r-devel-linux-x86_64-fedora-clang

Code health

None

Tests · ratio 0.00

not tracked

Coverage

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
OK2026-06-25
8 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 407 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo

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

Downloads

371

CRAN downloads in the past year

Rank #23,850 · ~1/day · ~31/mo

Releases R versions

Daily download trend is not available in this view yet.

11430 days

37190 days

3711 year

Compare downloads with other packages →

Also on18 r2u

Repository

GitHub ↗ pursuitofdatascience/ggtaichi

0Stars

0Forks

1Open issues

0Open PRs

0Releases

datavizggplot-extensionggplot2ggplot2-geom

License GPL-3.0 · Last activity 2026-07-10

Issues over time

2026-07-07 · 02026-08-05 · 1

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/pursuitofdatascience/ggtaichi on 2026-08-03.

Continuous integration (1)

GitHub Actions

Reproducibility and dev environment (1)

data-raw/

CRAN release process (1)

CRAN-SUBMISSION

Docs source (1)

README.Rmd

Show all practices

Lint, format, editor (1)

RStudio project

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

Development tooling

AI-assisted toolingBeta

Uses AI-assisted development tooling (declared in repo)

Earliest detected marker: claude on 2026-06-18

claude

Most recent: claude on 2026-06-18

Evidence

claude: on 2026-06-18 · evidence B, D

How this is detected·Detection ruleset v2 (updated 2026-07-29)

Dependencies

Declared dependencies

8 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.5.0

Imports (4)

rlanggridggplot2 ggnewscale

LinkingTo (0)

none

Suggests (5)

rmarkdown knitr dplyr scales tidyr

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (1)

Maintainer (1)

Youzhi Yu

Author, Maintainer

Authors (1)

Youzhi Yu

Author, Maintainer

Package Timeline

1 release. R releases are shown for context.

0.1.0Latest
2026-06-24 · current release
R
R 4.6.0 released · 2026-04-24

Package metadata

First published: 2026-06-24
Total releases: 1 / 1 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 3.5.0
Bundled data: 24 KB / 3 files
Download size: not tracked yet
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Start here. This is the citation for the package itself.

citation("ggtaichi")

CRAN DOI

https://doi.org/10.32614/CRAN.package.ggtaichi

BibTeX, derived from DESCRIPTION

@Manual{ggtaichi,
  title  = {ggtaichi: Taichi-Diagram Visualization for Two Data Sources},
  author = {Yu, Youzhi},
  year   = {2026},
  note   = {R package version 0.1.0},
  doi    = {10.32614/CRAN.package.ggtaichi},
  url    = {https://CRAN.R-project.org/package=ggtaichi}
}

Derived from the package DESCRIPTION, not from a citation file the authors wrote. If they publish one later, prefer it.

This is the citation for the package. It is not a citation for the R Observatory.

Cite this page

Use this when the claim is about a measurement on this page.

BibTeX

@misc{robservatoryggtaichi,
  author    = {Balamuta, James Joseph},
  title     = {{R} {Observatory}: Metrics for {ggtaichi} version 0.1.0},
  year      = {2026},
  publisher = {HJJB, LLC},
  url       = {https://r-observatory.thecoatlessprofessor.com/packages/ggtaichi},
  note      = {Data set. Data release v2026-08-05}
}

APA

Balamuta, J. J. (2026). R Observatory: Metrics for ggtaichi version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-08-05. https://r-observatory.thecoatlessprofessor.com/packages/ggtaichi

RIS

TY  - DATA
AU  - Balamuta, James Joseph
TI  - R Observatory: Metrics for ggtaichi version 0.1.0
PY  - 2026
PB  - HJJB, LLC
N1  - Data release v2026-08-05
UR  - https://r-observatory.thecoatlessprofessor.com/packages/ggtaichi
ER  -

In prose

These package metrics were obtained from the R Observatory (Balamuta, 2026), data release v2026-08-05, https://r-observatory.thecoatlessprofessor.com/packages/ggtaichi.

Bound to data release v2026-08-05, which is what makes the numbers on this page reproducible. See how to cite.

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