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ggmanh

Bioc current

Visualization Tool for GWAS Result

v1.16.0 · Package record · software · MIT + file LICENSE

Release Lineage

Entered 3.15 · Apr 27, 2022

Current · Requires R 4.6

1.0 In 9 of 49 releases 3.23

Description

Manhattan plot and QQ Plot are commonly used to visualize the end result of Genome Wide Association Study. The "ggmanh" package aims to keep the generation of these plots simple while maintaining customizability. Main functions include manhattan_plot, qqunif, and thinPoints.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

47 10 exported

Complexity

4.8 avg / 24 max

Call network

47 nodes / 48 edges

Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.

Loading call graph…

Lowest coverage

Per-function coverage is not measured for this package yet.

Code

Structure

Lines of code

3,616

Files

33

Compiled share

0%

Has compiled src

No

Language breakdown

R 2,067 (57.2%)Tests 113 (3.1%)Docs 1,050 (29%)Vignettes 386 (10.7%)

API

Exported functions

10

Internal functions

37

Recent export changes

v3.20+3 binned_manhattan_plot, binned_manhattan_preprocess, calc_new_pos

Testing

Has tests

Yes

Test-to-code ratio

0.05

testthat edition

3

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

0%

Unsafe pattern score

0

Dep constraint coverage

6.7%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

–

System requirements

–

C++ standard

–

License

MIT + file LICENSE

License flags

SPDX valid, OSI approved

History

Versions

9

First release

2022-04-26

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

–

Dep drift

5

LOC over versions

v3.15: 2,087 LOCv3.16: 2,087 LOCv3.17: 2,087 LOCv3.18: 2,087 LOCv3.19: 2,087 LOCv3.20: 3,616 LOCv3.21: 3,616 LOCv3.22: 3,616 LOCv3.23: 3,616 LOC

Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.

Documentation

In the Bioconductor 3.23 release
READMENoVignettesYes · 1 · dynamicNEWSYes · 100% structuredCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
12 (1 internal)includes a package overview page
Examples that run
100%8 run in a plain check
Exported functions with examples
89%
Documented parameters
93%
Return-value docs
89%
Help pages citing references
0%

Repository practices

Bioconductor git repository

Checks read the Bioconductor git repository (git.bioconductor.org), branch RELEASE_3_23.

No development-tooling practices detected in the Bioconductor git repository.

Topics

Maintainer
John Lee

Available on

CRANr2uBioconductorautoCRANCOPR

Suggested by (2)

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ggmanh")
Lee, J., Lee, J., & Zheng, X. (2026). ggmanh: Visualization Tool for GWAS Result (Version 1.16.0) [Computer software]. https://bioconductor.org/packages/ggmanh

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for ggmanh version 1.16.0 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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