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dataMaid (version 1.4.0)

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

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.

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Install

install.packages('dataMaid')

Monthly Downloads

1,179

Version

1.4.0

License

GPL-2

Issues

Pull Requests

Stars

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Repository

https://github.com/ekstroem/dataMaid

Homepage

https://doi.org/10.18637/jss.v090.i06

Maintainer

Claus Ekstrom

Last Published

December 10th, 2019

Functions in dataMaid (1.4.0)

allSummaryFunctions

Overview of all available summaryFunctions

Semi-artificial data about masterpieces of art

basicVisualCFLB

importFrom stats na.omit

summaryFunction for central values

Perform checks of potential errors in variable/dataset

allCheckFunctions

Overview of all available checkFunctions

bigPresidentData

Semi-artificial data about the US presidents (extended version)

Produce distribution plots in the base R (graphics) style using plot and barplot

allVisualFunctions

Overview of all available visualFunctions

defaultDateChecks

Default checks for Date variables

defaultDateSummaries

Default summary functions for Date variables

Vector of all variable classes in dataMaid

defaultCharacterChecks

Default checks for character variables

Extract the contents of the attribute description

defaultIntegerSummaries

Default summary functions for integer variables

defaultCharacterSummaries

Default summary functions for character variables

defaultIntegerChecks

Default checks for integer variables

defaultHavenlabelledSummaries

Default summary functions for haven_labelled variables

defaultHavenlabelledChecks

Default checks for haven_labelled variables

identifyMissing

A checkFunction for identifying miscoded missing values.

Create an object of class checkFunction

defaultFactorChecks

Default checks for factor variables

Summary function for missing values

Extract the contents of the attribute classes

Example data with zero-inflated variables

Simplified Rmarkdown rendering

Produce distribution plots

Set check arguments for makeDataReport

Check if a variable qualifies as a key

whoami_available

Find out if the whoami package binaries is installed (git + whoami)

Check if a variable only contains a single value

defaultNumericChecks

Default checks for numeric variables

identifyOutliers

A checkFunction for identifying outliers

defaultNumericSummaries

Default summary functions for numeric variables

Create object of class checkResult

identifyOutliersTBStyle

A checkFunction for identifying outliers Turkey Boxstole style

summaryFunction that finds reference level for factor variables

Summarize a variable/dataset

summaryFunction for quartiles

defaultLogicalSummaries

Default summary functions for logical variables

Produce distribution plots using ggplot from ggplot2.

A checkFunction for identifying sparsely represented values (loners)

identifyCaseIssues

A checkFunction for identifying case issues

defaultLogicalChecks

Default checks for logical variables

A checkFunction

defaultFactorSummaries

Default summary functions for factor variables

Produce a data report

summaryFunction for minimum and maximum

Produce tables for the makeDataReport visualizations.

Create an object of class visualFunction

messageGenerator

Produce a message for the output of a checkFunction

Summary function for original class

Extended example data to test the features of dataMaid

identifyWhitespace

A checkFunction for identifying whitespace

defaultLabelledSummaries

Default summary functions for labelled variables

Check if a variable consists of Danish CPR numbers

defaultLabelledChecks

Default checks for labelled variables

Check if a variable has a class supported by dataMaid

Set visual arguments for makeDataReport

Set summary arguments for makeDataReport

Produce a data codebook

summaryFunction

Create an object of class summaryFunction

Semi-artificial data about the US presidents

Small example data to show the features of dataMaid

Create object of class summaryResult

summaryFunction for unique values