Learn R Programming

⚠️There's a newer version (1.4.2) of this package.Take me there.

dataMaid (version 1.3.2)

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.

Copy Link

Version

Install

install.packages('dataMaid')

Monthly Downloads

905

Version

1.3.2

License

GPL-2

Issues

Pull Requests

Stars

Forks

Repository

https://github.com/ekstroem/dataMaid

Homepage

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

Maintainer

Claus Ekstrom

Last Published

July 27th, 2019

Functions in dataMaid (1.3.2)

bigPresidentData

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

Perform checks of potential errors in variable/dataset

Vector of all variable classes in dataMaid

allVisualFunctions

Overview of all available visualFunctions

summaryFunction for central values

basicVisualCFLB

importFrom stats na.omit

allCheckFunctions

Overview of all available checkFunctions

allSummaryFunctions

Overview of all available summaryFunctions

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

Semi-artificial data about masterpieces of art

Create an object of class checkFunction

defaultCharacterChecks

Default checks for character variables

defaultLabelledSummaries

Default summary functions for labelled variables

Summary function for missing values

defaultIntegerSummaries

Default summary functions for integer variables

Example data with zero-inflated variables

defaultLabelledChecks

Default checks for labelled variables

identifyCaseIssues

A checkFunction for identifying case issues

Produce a data cleaning overview document (deprecated version)

defaultFactorSummaries

Default summary functions for factor variables

Extract the contents of the attribute classes

Create object of class checkResult

defaultLogicalSummaries

Default summary functions for logical variables

defaultNumericChecks

Default checks for numeric variables

defaultDateSummaries

Default summary functions for Date variables

defaultCharacterSummaries

Default summary functions for character variables

identifyWhitespace

A checkFunction for identifying whitespace

identifyOutliersTBStyle

A checkFunction for identifying outliers Turkey Boxstole style

summaryFunction that finds reference level for factor variables

defaultFactorChecks

Default checks for factor variables

Check if a variable has a class supported by dataMaid

Summarize a variable/dataset

Check if a variable only contains a single value

Simplified Rmarkdown rendering

defaultDateChecks

Default checks for Date variables

defaultHavenlabelledSummaries

Default summary functions for haven_labelled variables

defaultIntegerChecks

Default checks for integer variables

Semi-artificial data about the US presidents

summaryFunction

Create an object of class summaryFunction

identifyMissing

A checkFunction for identifying miscoded missing values.

A checkFunction for identifying sparsely represented values (loners)

summaryFunction for quartiles

Set visual arguments for makeDataReport

defaultLogicalChecks

Default checks for logical variables

defaultNumericSummaries

Default summary functions for numeric variables

defaultHavenlabelledChecks

Default checks for haven_labelled variables

A checkFunction

Extended example data to test the features of dataMaid

Produce distribution plots using ggplot from ggplot2.

Small example data to show the features of dataMaid

identifyOutliers

A checkFunction for identifying outliers

messageGenerator

Produce a message for the output of a checkFunction

Produce a data codebook

Produce a data report

Create object of class summaryResult

Produce tables for the makeDataReport visualizations.

summaryFunction for minimum and maximum

Set summary arguments for makeDataReport

Set check arguments for makeDataReport

Produce distribution plots

Create an object of class visualFunction

summaryFunction for unique values

Check if a variable consists of Danish CPR numbers

Check if a variable qualifies as a key

Extract the contents of the attribute description

Summary function for original class