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dataMaid (version 1.0.0)

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 autogenerates 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

905

Version

1.0.0

License

GPL-2

Issues

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Repository

https://github.com/ekstroem/dataMaid

Maintainer

Claus Ekstrom

Last Published

November 10th, 2017

Functions in dataMaid (1.0.0)

Semi-artificial data about masterpieces of art

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

defaultDateChecks

Default checks for Date variables

defaultDateSummaries

Default summary functions for Date variables

defaultLogicalChecks

Default checks for logical variables

defaultLogicalSummaries

Default summary functions for logical variables

identifyCaseIssues

A checkFunction for identifying case issues

A checkFunction for identifying sparsely represented values (loners)

messageGenerator

Produce a message for the output of a checkFunction

summaryFunction for minimum and maximum

Produce distribution plots using ggplot from ggplot2.

Summarize a variable/dataset

Perform checks of potential errors in variable/dataset

Create an object of class checkFunction

defaultCharacterChecks

Default checks for character variables

defaultCharacterSummaries

Default summary functions for character variables

defaultIntegerChecks

Default checks for integer variables

defaultIntegerSummaries

Default summary functions for integer variables

basicVisualCFLB

importFrom stats na.omit

summaryFunction for central values

Create object of class checkResult

Extract the contents of the attribute classes

identifyWhitespace

A checkFunction for identifying whitespace

Check if a variable consists of Danish CPR numbers

Semi-artificial data about the US presidents

summaryFunction for quartiles

summaryFunction

Create an object of class summaryFunction

Create object of class summaryResult

allCheckFunctions

Overview of all available checkFunctions

Vector of all variable classes in dataMaid

Produce a data cleaning overview document (deprecated version)

Summary function for missing values

defaultNumericChecks

Default checks for numeric variables

defaultNumericSummaries

Default summary functions for numeric variables

Check if a variable qualifies as a key

Check if a variable only contains a single value

Check if a variable has a class supported by dataMaid

Produce a data report

summaryFunction for unique values

Summary function for original class

defaultLabelledChecks

Default checks for labelled variables

defaultLabelledSummaries

Default summary functions for labelled variables

Extract the contents of the attribute description

Example data with zero-inflated variables

identifyMissing

A checkFunction for identifying miscoded missing values.

A checkFunction

Set summary arguments for makeDataReport

Set visual arguments for makeDataReport

Create an object of class visualFunction

Produce distribution plots

allSummaryFunctions

Overview of all available summaryFunctions

allVisualFunctions

Overview of all available visualFunctions

defaultFactorChecks

Default checks for factor variables

defaultFactorSummaries

Default summary functions for factor variables

identifyOutliers

A checkFunction for identifying outliers

identifyOutliersTBStyle

A checkFunction for identifying outliers Turkey Boxstole style

Simplified Rmarkdown rendering

Set check arguments for makeDataReport

Extended example data to test the features of dataMaid

Small example data to show the features of dataMaid