dataReporter
1.0.5Reproducible Data Screening Checks and Report of Possible Errors
Overview
Data screening is an important first step of any statistical analysis. 'dataReporter' auto generates a customizable data report with a thorough summary of the checks and the results that a human can use to identify possible errors. It provides an extendable suite of test for common potential errors in a dataset. See Petersen AH, Ekstrøm CT (2019). "dataMaid: Your Assistant for Documenting Supervised Data Quality Screening in R." _Journal of Statistical Software_, *90*(6), 1-38 doi:10.18637/jss.v090.i06 for more information.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 88%
- References docs
- 12%
Downloads
Repository
Stars over time
Forks over time
Issues over time
PRs over time
Repository practices
1 development-tooling and community-health practice detected across 1 family in the upstream repository
Checks run against github.com/ekstroem/datareporter on 2026-08-03.
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
3 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 1.0.5Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 1.0.22021-11-11 · diff ↗
- unarchivedReturned to CRAN2021-11-11
- archivedRemoved from CRAN2021-10-22check problems were not corrected in time
- RR 4.1.0 released · 2021-05-18
- 1.0.02020-12-14
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2020-12-14
- Total releases
- 3 / 6 yrs
- License
- GPL-2 OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 34 KB / 6 files
- Download size
- 642 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Start here. This is the citation for the package itself.
citation("dataReporter")CRAN DOI
https://doi.org/10.32614/CRAN.package.dataReporterBibTeX, derived from DESCRIPTION
@Manual{dataReporter,
title = {dataReporter: Reproducible Data Screening Checks and Report of Possible Errors},
author = {Ekstrøm, Claus Thorn and Petersen, Anne Helby},
year = {2025},
note = {R package version 1.0.5},
doi = {10.32614/CRAN.package.dataReporter},
url = {https://CRAN.R-project.org/package=dataReporter}
}Derived from the package DESCRIPTION, not from a citation file the authors wrote. If they publish one later, prefer it.
This is the citation for the package. It is not a citation for the R Observatory.
Cite this page
Use this when the claim is about a measurement on this page.
BibTeX
@misc{robservatorydataReporter,
author = {Balamuta, James Joseph},
title = {{R} {Observatory}: Metrics for {dataReporter} version 1.0.5},
year = {2026},
publisher = {HJJB, LLC},
url = {https://r-observatory.thecoatlessprofessor.com/packages/dataReporter},
note = {Data set. Data release v2026-08-05}
}APA
Balamuta, J. J. (2026). R Observatory: Metrics for dataReporter version 1.0.5 [Data set]. HJJB, LLC. Data release v2026-08-05. https://r-observatory.thecoatlessprofessor.com/packages/dataReporterRIS
TY - DATA
AU - Balamuta, James Joseph
TI - R Observatory: Metrics for dataReporter version 1.0.5
PY - 2026
PB - HJJB, LLC
N1 - Data release v2026-08-05
UR - https://r-observatory.thecoatlessprofessor.com/packages/dataReporter
ER - In prose
These package metrics were obtained from the R Observatory (Balamuta, 2026), data release v2026-08-05, https://r-observatory.thecoatlessprofessor.com/packages/dataReporter.Bound to data release v2026-08-05, which is what makes the numbers on this page reproducible. See how to cite.