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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 website' <https://dataquality.qihs.uni-greifswald.de/Annotation_of_Metadata.html>.
Version: | 2.1.0 |
Depends: | R (≥ 3.6.0) |
Imports: | dplyr (≥ 1.0.2), emmeans, ggplot2 (≥ 3.5.0), lme4, lubridate, MASS, MultinomialCI, parallelMap, patchwork, R.devices, rlang, robustbase, qmrparser, utils, rio, readr, scales, withr, lifecycle, units |
Suggests: | GGally, grDevices, cli, whoami, anytime, cowplot (≥ 0.9.4), digest, DT (≥ 0.23), flexdashboard, flexsiteboard, htmltools, knitr, markdown, parallel, parallelly, rJava, rmarkdown, rstudioapi, testthat (≥ 3.1.9), tibble, vdiffr, pkgload, Rdpack, callr, colorspace, plotly, ggvenn, htmlwidgets, future, processx, R6, shiny, xml2, mgcv, rvest, textutils |
Published: | 2024-03-29 |
DOI: | 10.32614/CRAN.package.dataquieR |
Author: | University Medicine Greifswald [cph], Elisa Kasbohm [aut], Joany Marino [aut], Elena Salogni [aut], Adrian Richter [aut], Carsten Oliver Schmidt [aut], Stephan Struckmann [aut, cre], German Research Foundation (DFG SCHM 2744/3-1, SCHM 2744/9-1, SCHM 2744/3-4) [fnd], National Research Data Infrastructure for Personal Health Data: (NFDI 13/1) [fnd], European Union’s Horizon 2020 programme (euCanSHare, grant agreement No. 825903) [fnd] |
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.qihs.uni-greifswald.de/ |
NeedsCompilation: | no |
Language: | en-US |
Citation: | dataquieR citation info |
Materials: | README NEWS |
CRAN checks: | dataquieR results |
Reference manual: | dataquieR.pdf |
Vignettes: |
dataquieR example report |
Package source: | dataquieR_2.1.0.tar.gz |
Windows binaries: | r-devel: dataquieR_2.1.0.zip, r-release: dataquieR_2.1.0.zip, r-oldrel: dataquieR_2.1.0.zip |
macOS binaries: | r-release (arm64): dataquieR_2.1.0.tgz, r-oldrel (arm64): dataquieR_2.1.0.tgz, r-release (x86_64): dataquieR_2.1.0.tgz, r-oldrel (x86_64): dataquieR_2.1.0.tgz |
Old sources: | dataquieR archive |
Please use the canonical form https://CRAN.R-project.org/package=dataquieR to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.