Package: dataMaid
Type: Package
Title: A Suite of Checks for Identification of Potential Errors in a
        Data Frame as Part of the Data Screening Process
Version: 1.4.1
Date: 2021-10-07
Authors@R: c(person(given="Anne Helby", family="Petersen", email="ahpe@sund.ku.dk", role=c("aut")),
             person(given="Claus Thorn", family="Ekstrøm", email="ekstrom@sund.ku.dk", role=c("aut", "cre")))
Description: Data screening is an important first step of any
        statistical analysis. dataMaid 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.
URL: https://github.com/ekstroem/dataMaid,
        https://doi.org/10.18637/jss.v090.i06
BugReports: https://github.com/ekstroem/dataMaid/issues
Imports: ggplot2, gridExtra, haven, htmltools, magrittr, methods,
        pander, rmarkdown (>= 1.10), robustbase (>= 0.93-2), stringi,
        whoami
Suggests: knitr, testthat
VignetteBuilder: knitr
SystemRequirements: pandoc (>= 2.0; https://pandoc.org), git, whoami
Encoding: UTF-8
LazyData: true
ByteCompile: true
License: GPL-2
RoxygenNote: 7.3.1
Collate: 'aggregateForBarplot.R' 'aggregateForHistogram.R'
        'allCheckFunctions.R' 'allClasses.R' 'allSummaryFunctions.R'
        'allVisualFunctions.R' 'allXFunctions.R' 'makeXFunction.R'
        'visualFunction.R' 'basicVisual.R' 'summaryFunction.R'
        'centralValue.R' 'check.R' 'checkResult.R' 'messageGenerator.R'
        'checkFunction.R' 'identifyMissing.R' 'minMax.R' 'classes.R'
        'countMissing.R' 'dataMaid-package.R' 'dataMaid_as_factor.R'
        'description.R' 'identifyCaseIssues.R' 'identifyLoners.R'
        'identifyNums.R' 'identifyOutliers.R'
        'identifyOutliersTBStyle.R' 'identifyWhitespace.R' 'isCPR.R'
        'isSingular.R' 'isEmpty.R' 'isKey.R' 'isSupported.R'
        'makeCodebook.R' 'makeDataReport.R' 'misc.R' 'quartiles.R'
        'refCat.R' 'render.R' 'setChecks.R' 'setSummaries.R'
        'setVisuals.R' 'smartNum.R' 'standardVisual.R' 'summarize.R'
        'summaryResult.R' 'tableVisual.R' 'uniqueValues.R'
        'unpackLabelled.R' 'utility.R' 'variableType.R' 'visualize.R'
Config/pak/sysreqs: cmake git make libicu-dev libuv1-dev libssl-dev
        libx11-dev zlib1g-dev
Repository: https://ekstroem.r-universe.dev
Date/Publication: 2025-04-13 18:56:59 UTC
RemoteUrl: https://github.com/ekstroem/datamaid
RemoteRef: HEAD
RemoteSha: d6cc64fb1baf4bfa9471bb280afc39c7aa43d6ea
NeedsCompilation: no
Packaged: 2026-06-15 09:41:49 UTC; root
Author: Anne Helby Petersen [aut],
  Claus Thorn Ekstrøm [aut, cre]
Maintainer: Claus Thorn Ekstrøm <ekstrom@sund.ku.dk>
Depends: R (>= 3.5.0)