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