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factDesign

Bioc current

Factorial designed microarray experiment analysis

v1.88.0 · software · LGPL

Release Lineage

Entered 1.4 · May 17, 2004

Current · Requires R 4.6

1.0 In 45 of 49 releases 3.23

Description

This package provides a set of tools for analyzing data from a factorial designed microarray experiment, or any microarray experiment for which a linear model is appropriate. The functions can be used to evaluate tests of contrast of biological interest and perform single outlier detection.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

6 6 exported

Complexity

2 avg / 3 max

Call network

6 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

689

Files

15

Compiled share

0%

Has compiled src

No

Language breakdown

R 115 (16.7%)Docs 248 (36%)Vignettes 326 (47.3%)

API

Exported functions

6

Internal functions

0

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

50%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

System requirements

C++ standard

License

LGPL

License flags

not SPDX, not OSI

History

Versions

45

First release

2004-08-23

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

Dep drift

3

LOC over versions

v1.4: 390 LOCv1.5: 390 LOCv1.6: 382 LOCv1.7: 382 LOCv1.8: 382 LOCv1.9: 382 LOCv2.0: 382 LOCv2.1: 382 LOCv2.2: 363 LOCv2.3: 363 LOCv2.4: 366 LOCv2.5: 366 LOCv2.6: 366 LOCv2.7: 363 LOCv2.8: 363 LOCv2.9: 363 LOCv2.10: 363 LOCv2.11: 363 LOCv2.12: 363 LOCv2.13: 363 LOCv2.14: 689 LOCv3.0: 689 LOCv3.1: 689 LOCv3.2: 689 LOCv3.3: 689 LOCv3.4: 689 LOCv3.5: 689 LOCv3.6: 689 LOCv3.7: 689 LOCv3.8: 689 LOCv3.9: 689 LOCv3.10: 689 LOCv3.11: 689 LOCv3.12: 689 LOCv3.13: 689 LOCv3.14: 689 LOCv3.15: 689 LOCv3.16: 689 LOCv3.17: 689 LOCv3.18: 689 LOCv3.19: 689 LOCv3.20: 689 LOCv3.21: 689 LOCv3.22: 689 LOCv3.23: 689 LOC

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

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
60%

Topics

People

Denise Scholtens

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("factDesign")

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 factDesign version 1.88.0 [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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