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DESCRIPTION
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DESCRIPTION
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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: 1.4.0
Date: 2019-12-08
Authors@R: c(person(given="Anne Helby", family="Petersen", email="[email protected]", role=c("aut")),
person(given="Claus Thorn", family="Ekstrøm", email="[email protected]", 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: 7.0.2
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'