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HilbertCurve

Bioc current

Making 2D Hilbert Curve

v2.6.0 · Package record · software · MIT + file LICENSE

Release Lineage

Entered 3.2 · Oct 14, 2015

Current · Requires R 4.6

1.0 In 22 of 49 releases 3.23

Description

Hilbert curve is a type of space-filling curves that fold one dimensional axis into a two dimensional space, but with still preserves the locality. This package aims to provide an easy and flexible way to visualize data through Hilbert curve.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

59 4 exported

Complexity

5 avg / 40 max

Call network

59 nodes / 74 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

5,209

Files

62

Compiled share

12.9%

Has compiled src

Yes

Language breakdown

R 2,990 (57.4%)C/C++/src 671 (12.9%)Tests 59 (1.1%)Docs 1,477 (28.4%)Vignettes 12 (0.2%)

API

Exported functions

4

Internal functions

25

Recent export changes

v3.9+1 is_white

Testing

Has tests

Yes

Test-to-code ratio

0.02

testthat edition

–

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

0%

Unsafe pattern score

0

Dep constraint coverage

10%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.0.0

System requirements

–

C++ standard

–

License

MIT + file LICENSE

License flags

SPDX valid, OSI approved

History

Versions

22

First release

2015-10-13

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

–

Dep drift

5

LOC over versions

v3.2: 2,457 LOCv3.3: 5,266 LOCv3.4: 5,266 LOCv3.5: 5,288 LOCv3.6: 5,305 LOCv3.7: 5,306 LOCv3.8: 5,323 LOCv3.9: 5,585 LOCv3.10: 5,585 LOCv3.11: 5,585 LOCv3.12: 5,585 LOCv3.13: 5,640 LOCv3.14: 5,638 LOCv3.15: 5,643 LOCv3.16: 5,643 LOCv3.17: 5,849 LOCv3.18: 5,849 LOCv3.19: 5,849 LOCv3.20: 5,209 LOCv3.21: 5,209 LOCv3.22: 5,209 LOCv3.23: 5,209 LOC

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

Documentation

In the Bioconductor 3.23 release
README· In the Bioconductor git repository, left out of the releaseVignettesYes · 1 · staticNEWSYes · 100% structuredCitation fileYes · cites a publicationWebsiteYes · pkgdown
Help pages
37
Examples that run
100%37 run in a plain check
Exported functions with examples
100%
Documented parameters
90%
Return-value docs
75%
Help pages citing references
0%

Repository practices

Upstream repositoryBeta

4 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/jokergoo/hilbertcurve on 2026-10-11.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows

Docs source (2)
pkgdown

GitHub Pages site last deployed 2026-04-23

How this is detected·Detection ruleset v3 (2026-09-26)

Datasets

Bundled datasets · 5
NameClassSizeAlso in
chinese_dynastydata.frame59 × 3No other package
cidr_listlist239 elementsNo other package
g–––
mouse–––
zebrafish–––

All of HilbertCurve's data objects

Topics

Maintainer
Zuguang Gu

Available on

CRANr2uBioconductorautoCRANCOPR

Suggested by (1)

People

Cite

Cite this package

Run in R for the authors' entry:

citation("HilbertCurve")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1093/bioinformatics/btw161.

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 HilbertCurve version 2.6.0 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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