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DuoClustering2018

Bioc current

Data, Clustering Results and Visualization Functions From Duò et al (2018)

v1.30.0 · experiment · GPL (>=2)

Release Lineage

Entered 3.8 · Oct 31, 2018

Current · Requires R 4.6

1.0 In 16 of 49 releases 3.23

Description

Preprocessed experimental and simulated scRNA-seq data sets used for evaluation of clustering methods for scRNA-seq data in Duò et al (2018). Also contains results from applying several clustering methods to each of the data sets, and functions for plotting method performance.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

8 5 exported

Complexity

2 avg / 4 max

Call network

8 nodes / 1 edges

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

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Lowest coverage

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

Code

Structure

Lines of code

2,378

Files

47

Compiled share

0%

Has compiled src

No

Language breakdown

R 731 (30.7%)Docs 1,084 (45.6%)Vignettes 563 (23.7%)

API

Exported functions

5

Internal functions

3

Recent export changes

v3.8+5 plot_entropy, plot_k_diff, plot_performance +2 more

Testing & CI

Has tests

No

Test-to-code ratio

0.00

testthat edition

CI present

Yes

CI type

["github-actions"]

PR gated

Yes

Docs

Roxygen coverage

100%

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

System requirements

C++ standard

License

GPL (>=2)

License flags

not SPDX, not OSI

History

Versions

16

First release

2018-10-30

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

Dep drift

0

LOC over versions

v3.8: 2,378 LOCv3.9: 2,378 LOCv3.10: 2,378 LOCv3.11: 2,378 LOCv3.12: 2,378 LOCv3.13: 2,378 LOCv3.14: 2,378 LOCv3.15: 2,378 LOCv3.16: 2,378 LOCv3.17: 2,378 LOCv3.18: 2,378 LOCv3.19: 2,378 LOCv3.20: 2,378 LOCv3.21: 2,378 LOCv3.22: 2,378 LOCv3.23: 2,378 LOC

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

Documentation

Documentation
READMEYes · 37 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 0% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
59%

Topics

Depended on by (4)

People

Angelo Duò

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("DuoClustering2018")

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 DuoClustering2018 version 1.30.0 [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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