A Suite of Checks for Identification of Potential Errors in a
Data Frame as Part of the Data Cleaning Process
c(person("Anne Helby", "Petersen", , email="ahpe@sund.ku.dk", role="aut"),
person("Claus Thorn", "Ekstrøm", , email="ekstrom@sund.ku.dk", role=c("aut", "cre")))
Data cleaning is an important first step of any statistical
analysis. dataMaid provides an extendable suite of test for common potential
errors in a dataset. It produces a document with a thorough summary of the
checks and the results that a human can use to identify possible errors.
haven, methods, pander, rmarkdown, robustbase, gridExtra
'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'
'clean.R' 'countMissing.R' 'dataMaid-package.R' 'description.R'
'identifyCaseIssues.R' 'identifyLoners.R' 'identifyNums.R'
'identifyOutliers.R' 'identifyOutliersTBStyle.R'
'identifyWhitespace.R' 'isCPR.R' 'isEmpty.R' 'isKey.R' 'misc.R'
'quartiles.R' 'render.R' 'smartNum.R' 'standardVisual.R'
'summarize.R' 'summaryResult.R' 'uniqueValues.R'
'unpackLabelled.R' 'variableType.R' 'visualize.R'
Anne Helby Petersen [aut],
Claus Thorn Ekstrøm [aut, cre]

A Suite of Checks for Identification of Potential Errors in a
Data Frame as Part of the Data Screening Process
Data screening is an important first step of any statistical
analysis. dataMaid autogenerates 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.
gridExtra, haven, htmltools, magrittr, methods, pander,
robustbase, whoami
'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'
'clean.R' 'countMissing.R' 'dataMaid-package.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' 'makeDataReport.R' 'misc.R'
'quartiles.R' 'render.R' 'setChecks.R' 'setSummaries.R'
'setVisuals.R' 'smartNum.R' 'standardVisual.R' 'summarize.R'
'summaryResult.R' 'uniqueValues.R' 'unpackLabelled.R'
'variableType.R' 'visualize.R'