biobroom
Bioc currentTurn Bioconductor objects into tidy data frames
Release Lineage
Entered 3.2 · Oct 14, 2015
Current · Requires R 4.6
Description
This package contains methods for converting standard objects constructed by bioinformatics packages, especially those in Bioconductor, and converting them to tidy data. It thus serves as a complement to the broom package, and follows the same the tidy, augment, glance division of tidying methods. Tidying data makes it easy to recombine, reshape and visualize bioinformatics analyses.
None published for Bioconductor
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
37 27 exported
Complexity
2.4 avg / 12 max
Call network
37 nodes / 44 edges
Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.
Call graph
Open call graph →Lowest coverage
Per-function coverage is not measured for this package yet.
Code
Structure
Lines of code
2,340
Files
41
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
27
Internal functions
9
Testing
Has tests
Yes
Test-to-code ratio
0.14
testthat edition
–
Docs
Roxygen coverage
100%
Health & Security signals
Informational signals; not verdicts.
on.exit coverage
–
Unsafe pattern score
0
Dep constraint coverage
0%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
3.0.0
System requirements
–
C++ standard
–
License
LGPL
License flags
not SPDX, not OSI
History
Versions
22
First release
2016-01-26
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
–
Dep drift
0
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Help pages
- 13includes a package overview page
- Examples that run
- 100%8 run in a plain check
- Exported functions with examples
- 80%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
- Vignette Title HTML
Repository practices
2 development-tooling and community-health practices detected across 2 families in the upstream repository
Checks run against github.com/storeylab/biobroom on 2026-10-11.
Datasets
Topics
People (from the free-text Author field)
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("biobroom")Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.