dataReporter: Reproducible Data Screening Checks and Report of Possible Errors

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.

Version: 1.0.0
Depends: R (≥ 3.5.0)
Imports: ggplot2, gridExtra, haven, htmltools, magrittr, methods, pander, rmarkdown (≥ 1.10), robustbase (≥ 0.93-2), stringi, whoami
Suggests: knitr, testthat
Published: 2020-12-14
Author: Anne Helby Petersen [aut], Claus Thorn Ekstrøm [aut, cre]
Maintainer: Claus Thorn Ekstrøm <ekstrom at sund.ku.dk>
BugReports: https://github.com/ekstroem/dataReporter/issues
License: GPL-2
URL: https://github.com/ekstroem/dataReporter
NeedsCompilation: no
SystemRequirements: pandoc (>= 2.0; https://pandoc.org), git, whoami
CRAN checks: dataReporter results

Documentation:

Reference manual: dataReporter.pdf
Vignettes: Extending dataReporter

Downloads:

Package source: dataReporter_1.0.0.tar.gz
Windows binaries: r-devel: dataReporter_1.0.0.zip, r-release: dataReporter_1.0.0.zip, r-oldrel: dataReporter_1.0.0.zip
macOS binaries: r-release (arm64): dataReporter_1.0.0.tgz, r-release (x86_64): dataReporter_1.0.0.tgz, r-oldrel: dataReporter_1.0.0.tgz

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