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

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

## Documentation for package ‘dataMaid’ version 1.4.2

- 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)