Data quality assessments guided by a
'data quality framework introduced by Schmidt and colleagues 2021'
<doi:10.1186/s12874-021-01252-7> target the
data quality dimensions integrity, completeness, consistency, and
accuracy. The scope of applicable functions rests on the
availability of extensive metadata which can be provided in
spreadsheet tables. Either standardized (e.g. as 'html5' reports) or
individually tailored reports can be generated. For an introduction
into the specification of corresponding metadata, please refer to the
'package web site'
<https://dataquality.ship-med.uni-greifswald.de/Annotation_of_Metadata.html>.
| Version: |
1.0.10 |
| Depends: |
R (≥ 3.6.0) |
| Imports: |
patchwork, dplyr (≥ 1.0.2), emmeans, ggplot2 (≥ 2.1.0), ggpubr, lme4, lubridate, MASS, MultinomialCI, parallelMap, R.devices, reshape, rlang, robustbase, utils |
| Suggests: |
cowplot (≥ 0.9.4), anytime, digest, DT (≥ 0.15), flexdashboard, htmltools, knitr, rmarkdown, rstudioapi, testthat (≥ 2.3.2), tibble, markdown, vdiffr, parallel |
| Published: |
2022-08-31 |
| Author: |
University Medicine Greifswald [cph],
Adrian Richter [aut],
Carsten Oliver Schmidt [aut],
Stephan Struckmann [aut, cre] |
| Maintainer: |
Stephan Struckmann <stephan.struckmann at uni-greifswald.de> |
| BugReports: |
https://gitlab.com/libreumg/dataquier/-/issues |
| License: |
BSD_2_clause + file LICENSE |
| URL: |
https://dataquality.ship-med.uni-greifswald.de/ |
| NeedsCompilation: |
no |
| Language: |
en-US |
| Citation: |
dataquieR citation info |
| Materials: |
README NEWS |
| CRAN checks: |
dataquieR results |