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SamSPECTRAL

Bioc current

Identifies cell population in flow cytometry data

v1.66.0 · software · GPL (>= 2)

Release Lineage

Entered 2.6 · Apr 23, 2010

Current · Requires R 4.6

1.0 In 33 of 49 releases 3.23

Description

Samples large data such that spectral clustering is possible while preserving density information in edge weights. More specifically, given a matrix of coordinates as input, SamSPECTRAL first builds the communities to sample the data points. Then, it builds a graph and after weighting the edges by conductance computation, the graph is passed to a classic spectral clustering algorithm to find the spectral clusters. The last stage of SamSPECTRAL is to combine the spectral clusters. The resulting "connected components" estimate biological cell populations in the data. See the vignette for more details on how to use this package, some illustrations, and simple examples.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

14 0 exported

Complexity

14.3 avg / 30 max

Call network

14 nodes / 13 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

2,702

Files

30

Compiled share

11.9%

Has compiled src

Yes

Language breakdown

R 1,181 (43.7%)C/C++/src 322 (11.9%)Docs 876 (32.4%)Vignettes 323 (12%)

API

Exported functions

7

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

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

3.3.3

System requirements

C++ standard

License

GPL (>= 2)

License flags

SPDX valid, OSI approved

History

Versions

33

First release

2010-05-04

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

Dep drift

0

LOC over versions

v2.6: 1,807 LOCv2.7: 1,877 LOCv2.8: 1,877 LOCv2.9: 1,883 LOCv2.10: 1,888 LOCv2.11: 1,888 LOCv2.12: 2,287 LOCv2.13: 2,287 LOCv2.14: 2,557 LOCv3.0: 2,557 LOCv3.1: 2,610 LOCv3.2: 2,698 LOCv3.3: 2,698 LOCv3.4: 2,698 LOCv3.5: 2,702 LOCv3.6: 2,702 LOCv3.7: 2,702 LOCv3.8: 2,702 LOCv3.9: 2,702 LOCv3.10: 2,702 LOCv3.11: 2,702 LOCv3.12: 2,702 LOCv3.13: 2,702 LOCv3.14: 2,702 LOCv3.15: 2,702 LOCv3.16: 2,702 LOCv3.17: 2,702 LOCv3.18: 2,702 LOCv3.19: 2,702 LOCv3.20: 2,702 LOCv3.21: 2,702 LOCv3.22: 2,702 LOCv3.23: 2,702 LOC

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

Topics

Depended on by (2)

Bioconductor (2)

People

Habil

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("SamSPECTRAL")

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 SamSPECTRAL version 1.66.0 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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