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dataMaid (version 1.4.1)

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

1,211

Version

1.4.1

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

October 8th, 2021

Functions in dataMaid (1.4.1)

allCheckFunctions

Overview of all available checkFunctions

Create object of class checkResult

Create an object of class checkFunction

defaultLabelledChecks

Default checks for labelled variables

defaultLabelledSummaries

Default summary functions for labelled variables

defaultCharacterSummaries

Default summary functions for character variables

defaultCharacterChecks

Default checks for character variables

allSummaryFunctions

Overview of all available summaryFunctions

allVisualFunctions

Overview of all available visualFunctions

Example data with zero-inflated variables

summaryFunction for minimum and maximum

Extract the contents of the attribute description

Semi-artificial data about masterpieces of art

defaultFactorChecks

Default checks for factor variables

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

Extract the contents of the attribute classes

Semi-artificial data about the US presidents

defaultIntegerChecks

Default checks for integer variables

defaultFactorSummaries

Default summary functions for factor variables

defaultLogicalSummaries

Default summary functions for logical variables

summaryFunction that finds reference level for factor variables

Summary function for missing values

summaryFunction for quartiles

defaultLogicalChecks

Default checks for logical variables

Check if a variable consists of Danish CPR numbers

defaultIntegerSummaries

Default summary functions for integer variables

identifyWhitespace

A checkFunction for identifying whitespace

Simplified Rmarkdown rendering

basicVisualCFLB

importFrom stats na.omit

identifyCaseIssues

A checkFunction for identifying case issues

defaultNumericChecks

Default checks for numeric variables

bigPresidentData

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

Check if a variable has a class supported by dataMaid

Produce a data codebook

identifyMissing

A checkFunction for identifying miscoded missing values.

A checkFunction

defaultNumericSummaries

Default summary functions for numeric variables

Produce distribution plots using ggplot from ggplot2.

summaryFunction for central values

Produce a data report

A checkFunction for identifying sparsely represented values (loners)

summaryFunction

Create an object of class summaryFunction

messageGenerator

Produce a message for the output of a checkFunction

Create object of class summaryResult

Small example data to show the features of dataMaid

summaryFunction for unique values

Summarize a variable/dataset

Extended example data to test the features of dataMaid

Check if a variable only contains a single value

Check if a variable qualifies as a key

Produce tables for the makeDataReport visualizations.

defaultDateSummaries

Default summary functions for Date variables

defaultDateChecks

Default checks for Date variables

Perform checks of potential errors in variable/dataset

Set summary arguments for makeDataReport

defaultHavenlabelledSummaries

Default summary functions for haven_labelled variables

defaultHavenlabelledChecks

Default checks for haven_labelled variables

Create an object of class visualFunction

Set check arguments for makeDataReport

Summary function for original class

identifyOutliers

A checkFunction for identifying outliers

identifyOutliersTBStyle

A checkFunction for identifying outliers Turkey Boxstole style

Produce distribution plots

Set visual arguments for makeDataReport

whoami_available

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

Vector of all variable classes in dataMaid