scDataviz
Bioc currentscDataviz: single cell dataviz and downstream analyses
Release Lineage
Entered 3.12 · Oct 28, 2020
Current · Requires R 4.6
Description
In the single cell World, which includes flow cytometry, mass cytometry, single-cell RNA-seq (scRNA-seq), and others, there is a need to improve data visualisation and to bring analysis capabilities to researchers even from non-technical backgrounds. scDataviz attempts to fit into this space, while also catering for advanced users. Additonally, due to the way that scDataviz is designed, which is based on SingleCellExperiment, it has a 'plug and play' feel, and immediately lends itself as flexibile and compatibile with studies that go beyond scDataviz. Finally, the graphics in scDataviz are generated via the ggplot engine, which means that users can 'add on' features to these with ease.
None published for Bioconductor
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
13 13 exported
Complexity
14.6 avg / 29 max
Call network
13 nodes / 6 edges
Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.
Call graph
Open call graph →Lowest coverage
Per-function coverage is not measured for this package yet.
Code
Structure
Lines of code
4,804
Files
52
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
13
Internal functions
0
Testing
Has tests
Yes
Test-to-code ratio
0.00
testthat edition
–
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
4.0
System requirements
–
C++ standard
–
License
GPL-3
License flags
SPDX valid, OSI approved
History
Versions
12
First release
2020-10-27
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
–
Dep drift
0
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Help pages
- 13
- Examples that run
- 100%13 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 91%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Repository practices
Checks run against github.com/kevinblighe/scdataviz on 2026-10-21.
No development-tooling practices detected in the upstream repository.
Datasets
| Name | Class | Size | Also in |
|---|---|---|---|
| .Random.seed | vector | 626 elements | No other package |
| exclusions | vector | 7 elements | No other package |
| filelist | vector | 18 elements | No other package |
| inclusions | vector | 10 elements | No other package |
| markernames | vector | 10 elements | No other package |
| metadata | data.frame | 18 × 3 | No other package |
| sce | – | – | – |
Topics
People
- Kevin Blighe author maintainer
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("scDataviz")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.