BiocSet
Bioc currentRepresenting Different Biological Sets
Release Lineage
Entered 3.10 · Oct 30, 2019
Current · Requires R 4.6
Description
BiocSet displays different biological sets in a triple tibble format. These three tibbles are `element`, `set`, and `elementset`. The user has the abilty to activate one of these three tibbles to perform common functions from the dplyr package. Mapping functionality and accessing web references for elements/sets are also available in BiocSet.
None published for Bioconductor
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
107 48 exported
Complexity
1.4 avg / 7 max
Call network
107 nodes / 93 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
4,699
Files
64
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
50
Internal functions
43
Testing
Has tests
Yes
Test-to-code ratio
0.65
testthat edition
–
Docs
Roxygen coverage
96%
Health & Security signals
Informational signals; not verdicts.
on.exit coverage
0%
Unsafe pattern score
0
Dep constraint coverage
0%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
3.6
System requirements
–
C++ standard
–
License
Artistic-2.0
License flags
SPDX valid, OSI approved
History
Versions
14
First release
2019-11-06
Latest release
2026-04-28
Avg cadence
181 days
Cold removal rate
–
Dep drift
5
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Help pages
- 18 (4 internal)
- Examples that run
- 100%17 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Repository practices
Checks read the Bioconductor git repository (git.bioconductor.org), branch RELEASE_3_23.
No development-tooling practices detected in the Bioconductor git repository.
Topics
Depended on by (4)
People
- Kayla Morrell author maintainer
- Martin Morgan author
- Lluís Revilla Sancho contributor
- Kevin Rue-Albrecht contributor
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("BiocSet")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.
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.