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MultiDataSet

Bioc current

Implementation of MultiDataSet and ResultSet

v1.40.0 · software · file LICENSE
View on Bioconductor ↗ Source ↗

Release Lineage

Entered 3.3 · May 4, 2016

Current · Requires R 4.6

1.0 In 21 of 49 releases 3.23

Description

Implementation of the BRGE's (Bioinformatic Research Group in Epidemiology from Center for Research in Environmental Epidemiology) MultiDataSet and ResultSet. MultiDataSet is designed for integrating multi omics data sets and ResultSet is a container for omics results. This package contains base classes for MEAL and rexposome packages.

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

11 8 exported

Complexity

3.5 avg / 15 max

Call network

11 nodes / 3 edges

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

Call graph

Open call graph →
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Lowest coverage

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

Code

Structure

Lines of code

3,940

Files

97

Compiled share

0%

Has compiled src

No

Language breakdown

R 2,074 (52.6%)Docs 1,198 (30.4%)Vignettes 668 (17%)

API

Exported functions

14

Internal functions

3

Recent export changes

v3.6+6 create_resultset, getAssociation, lambdaClayton +3 more  −5 betas, checkProbes, checkSamples 2 more
v3.5+3 mae2mds, mds2mae, methylationSet  −1 prepareMethylationSet

Testing & CI

Has tests

No

Test-to-code ratio

0.00

testthat edition

–

CI present

No

CI type

[]

PR gated

No

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

4.1

System requirements

–

C++ standard

–

License

file LICENSE

License flags

SPDX valid, not OSI

History

Versions

21

First release

2016-05-15

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

100%

Dep drift

33

LOC over versions

v3.3: 2,507 LOCv3.4: 3,144 LOCv3.5: 4,673 LOCv3.6: 4,265 LOCv3.7: 5,103 LOCv3.8: 5,108 LOCv3.9: 5,108 LOCv3.10: 5,108 LOCv3.11: 3,865 LOCv3.12: 3,866 LOCv3.13: 3,866 LOCv3.14: 3,940 LOCv3.15: 3,940 LOCv3.16: 3,940 LOCv3.17: 3,940 LOCv3.18: 3,940 LOCv3.19: 3,940 LOCv3.20: 3,940 LOCv3.21: 3,940 LOCv3.22: 3,940 LOCv3.23: 3,940 LOC

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

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSYes · 0% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Topics

Software
Software › Infrastructure › DataRepresentation

Depended on by (5)

Bioconductor (5)

biosigner MEAL omicRexposome ropls phenomis

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("MultiDataSet")
Ruiz-Arenas, C., Gonzalez, J. R., & Hernandez-Ferrer, C. (2026). MultiDataSet: Implementation of MultiDataSet and ResultSet (Version 1.40.0) [Computer software]. https://bioconductor.org/packages/MultiDataSet

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 MultiDataSet version 1.40.0 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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