A Suite of Checks for Identification of Potential Errors in a Data Frame as Part of the Data Screening Process

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Documentation for package ‘dataMaid’ version 1.4.1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

allCheckFunctions	Overview of all available checkFunctions
allClasses	Vector of all variable classes in 'dataMaid'
allSummaryFunctions	Overview of all available summaryFunctions
allVisualFunctions	Overview of all available visualFunctions
artData	Semi-artificial data about masterpieces of art
basicVisual	Produce distribution plots in the base R (graphics) style using 'plot' and 'barplot'
basicVisualCFLB	importFrom stats na.omit
bigPresidentData	Semi-artificial data about the US presidents (extended version)
centralValue	summaryFunction for central values
check	Perform checks of potential errors in variable/dataset
checkFunction	Create an object of class checkFunction
checkResult	Create object of class checkResult
classes	Extract the contents of the attribute 'classes'
classes<-	Extract the contents of the attribute 'classes'
countMissing	Summary function for missing values
defaultCharacterChecks	Default checks for character variables
defaultCharacterSummaries	Default summary functions for character variables
defaultDateChecks	Default checks for Date variables
defaultDateSummaries	Default summary functions for Date variables
defaultFactorChecks	Default checks for factor variables
defaultFactorSummaries	Default summary functions for factor variables
defaultHavenlabelledChecks	Default checks for haven_labelled variables
defaultHavenlabelledSummaries	Default summary functions for haven_labelled variables
defaultIntegerChecks	Default checks for integer variables
defaultIntegerSummaries	Default summary functions for integer variables
defaultLabelledChecks	Default checks for labelled variables
defaultLabelledSummaries	Default summary functions for labelled variables
defaultLogicalChecks	Default checks for logical variables
defaultLogicalSummaries	Default summary functions for logical variables
defaultNumericChecks	Default checks for numeric variables
defaultNumericSummaries	Default summary functions for numeric variables
description	Extract the contents of the attribute 'description'
description<-	Extract the contents of the attribute 'description'
exampleData	Example data with zero-inflated variables
identifyCaseIssues	A checkFunction for identifying case issues
identifyLoners	A checkFunction for identifying sparsely represented values (loners)
identifyMissing	A checkFunction for identifying miscoded missing values.
identifyNums	A checkFunction
identifyOutliers	A checkFunction for identifying outliers
identifyOutliersTBStyle	A checkFunction for identifying outliers Turkey Boxstole style
identifyWhitespace	A checkFunction for identifying whitespace
isCPR	Check if a variable consists of Danish CPR numbers
isEmpty	Check if a variable only contains a single value
isKey	Check if a variable qualifies as a key
isSingular	Check if a variable only contains a single value
isSupported	Check if a variable has a class supported by dataMaid
makeCodebook	Produce a data codebook
makeDataReport	Produce a data report
messageGenerator	Produce a message for the output of a checkFunction
minMax	summaryFunction for minimum and maximum
presidentData	Semi-artificial data about the US presidents
quartiles	summaryFunction for quartiles
refCat	summaryFunction that finds reference level for factor variables
render	Simplified Rmarkdown rendering
setChecks	Set check arguments for makeDataReport
setSummaries	Set summary arguments for makeDataReport
setVisuals	Set visual arguments for makeDataReport
standardVisual	Produce distribution plots using ggplot from ggplot2.
summarize	Summarize a variable/dataset
summaryFunction	Create an object of class summaryFunction
summaryResult	Create object of class summaryResult
tableVisual	Produce tables for the makeDataReport visualizations.
testData	Extended example data to test the features of dataMaid
toyData	Small example data to show the features of dataMaid
uniqueValues	summaryFunction for unique values
variableType	Summary function for original class
visualFunction	Create an object of class visualFunction
visualize	Produce distribution plots
whoami_available	Find out if the whoami package binaries is installed (git + whoami)