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datacutr

0.2.4

SDTM Datacut

0packages depend
4.1Kdownloads / year
98.6%test coverage
13/13checks pass

Overview

About
Maintained by Tim BarnettFirst published 2023-03-316 releasesCRAN page ↗GitHub ↗

Supports the process of applying a cut to Standard Data Tabulation Model (SDTM), as part of the analysis of specific points in time of the data, normally as part of investigation into clinical trials. The functions support different approaches of cutting to the different domains of SDTM normally observed.

Install

Health

CRAN checks
13OK
Slowest check: 2.8 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 1.31
98.6%
Coverage · measured lines
100%
Documentation · exports
10
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 271 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
90%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Downloads

4.1K
CRAN downloads in the past year
Rank #13,603 · ~11/day · ~341/mo
Daily download trend is not available in this view yet.
17730 days
74890 days
4.1K1 year
Compare downloads with other packages →
Also on130 r2u22 autocran

Repository

Repository
17Stars
3Forks
2Open issues
2Open PRs
2Releases
594Commits
10Contributors
License Apache-2.0 · 594 commits · Last activity 2026-08-21 · 0% stars, 30d

Stars over time

2025-08-15 · 152026-07-07 · 17

Repository practices

Upstream repositoryBeta

6 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/pharmaverse/datacutr on 2026-08-16.

Continuous integration (1)
GitHub Actions
Reproducibility and dev environment (1)
data-raw/
CRAN release process (1)
cran-comments.md
Lint, format, editor (2)
lintrRStudio project
Show all practices
Governance and community (1)
Issue templates
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
21 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.1
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (4)
Maintainer (1)
Copyright holder, Author, Maintainer
Authors (4)
Copyright holder, Author, Maintainer
Author · added in 0.2.0
Copyright holders (1)
Copyright holder, Author, Maintainer
Package Timeline

6 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.2.4Latest
    2025-11-14 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 0.2.3
    2025-02-03 · diff ↗
  • 0.2.2
    2025-01-10 · diff ↗
  • 0.2.1
    2024-12-18 · diff ↗
  • unarchivedReturned to CRAN
    2024-12-18
  • archivedRemoved from CRAN
    2024-11-21
    policy violation Checking creates '~/dummyfile'
  • 0.2.0
    2024-11-19 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 0.1.0
    2023-03-31
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2023-03-31
Total releases
6 / 3 yrs
License
Apache License (>= 2)
Minimum R
≥ 4.1
Bundled data
1.7 KB / 7 files
Download size
80 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("datacutr")
Barnett, T., Andrews, C., Harris, A., & Rees, N. (2025). datacutr: SDTM Datacut (Version 0.2.4) [Computer software]. https://doi.org/10.32614/CRAN.package.datacutr

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 datacutr version 0.2.4 [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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