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DAPARdata

Bioc current

Data accompanying the DAPAR and Prostar packages

v1.42.0 · experiment · GPL-2

Release Lineage

Entered 3.3 · May 4, 2016

Current · Requires R 4.6

1.0 In 21 of 49 releases 3.23

Description

Mass-spectrometry based UPS proteomics data sets from Ramus C, Hovasse A, Marcellin M, Hesse AM, Mouton-Barbosa E, Bouyssie D, Vaca S, Carapito C, Chaoui K, Bruley C, Garin J, Cianferani S, Ferro M, Dorssaeler AV, Burlet-Schiltz O, Schaeffer C, Coute Y, Gonzalez de Peredo A. Spiked proteomic standard dataset for testing label-free quantitative software and statistical methods. Data Brief. 2015 Dec 17;6:286-94 and Giai Gianetto, Q., Combes, F., Ramus, C., Bruley, C., Coute, Y., Burger, T. (2016). Calibration plot for proteomics: A graphical tool to visually check the assumptions underlying FDR control in quantitative experiments. Proteomics, 16(1), 29-32.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

2 1 exported

Complexity

1 avg / 1 max

Call network

2 nodes / 0 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

1,101

Files

96

Compiled share

0%

Has compiled src

No

Language breakdown

R 511 (46.4%)Docs 569 (51.7%)Vignettes 21 (1.9%)

API

Exported functions

1

Internal functions

1

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

Unsafe pattern score

0

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.4.0

System requirements

C++ standard

License

GPL-2

License flags

SPDX valid, OSI approved

History

Versions

21

First release

2016-06-20

Latest release

2026-04-28

Avg cadence

181 days

Cold removal rate

100%

Dep drift

5

LOC over versions

v3.3: 719 LOCv3.4: 1,077 LOCv3.5: 1,077 LOCv3.6: 1,077 LOCv3.7: 1,077 LOCv3.8: 1,077 LOCv3.9: 1,077 LOCv3.10: 1,077 LOCv3.11: 1,077 LOCv3.12: 1,077 LOCv3.13: 1,077 LOCv3.14: 1,077 LOCv3.15: 1,079 LOCv3.16: 3,070 LOCv3.17: 3,070 LOCv3.18: 1,101 LOCv3.19: 1,101 LOCv3.20: 1,101 LOCv3.21: 1,101 LOCv3.22: 1,101 LOCv3.23: 1,101 LOC

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

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSYes · 33% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
not tracked
Return-value docs
0%
References docs
91%

Topics

Depended on by (2)

Bioconductor (2)

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("DAPARdata")
Wieczorek, S., & Combes, F. (2026). DAPARdata: Data accompanying the DAPAR and Prostar packages (Version 1.42.0) [Computer software]. https://bioconductor.org/packages/DAPARdata

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 DAPARdata version 1.42.0 [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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