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dataReporter (version 1.0.5)

Reproducible Data Screening Checks and Report of Possible Errors

Description

Data screening is an important first step of any statistical analysis. 'dataReporter' 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. See Petersen AH, Ekstrøm CT (2019). "dataMaid: Your Assistant for Documenting Supervised Data Quality Screening in R." _Journal of Statistical Software_, *90*(6), 1-38 for more information.

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Install

install.packages('dataReporter')

Monthly Downloads

571

Version

1.0.5

License

GPL-2

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Repository

https://github.com/ekstroem/dataReporter

Maintainer

Claus Ekstrom

Last Published

April 13th, 2025

Functions in dataReporter (1.0.5)

allVisualFunctions

Overview of all available visualFunctions

Extract the contents of the attribute classes

basicVisualCFLB

importFrom stats na.omit

allCheckFunctions

Overview of all available checkFunctions

defaultDateChecks

Default checks for Date variables

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

Vector of all variable classes in dataReporter

Create an object of class checkFunction

Summary function for missing values

bigPresidentData

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

defaultHavenlabelledChecks

Default checks for haven_labelled variables

Extract the contents of the attribute description

defaultHavenlabelledSummaries

Default summary functions for haven_labelled variables

defaultDateSummaries

Default summary functions for Date variables

summaryFunction for central values

defaultCharacterChecks

Default checks for character variables

defaultLogicalChecks

Default checks for logical variables

Create object of class checkResult

identifyCaseIssues

A checkFunction for identifying case issues

Perform checks of potential errors in variable/dataset

Example data with zero-inflated variables

defaultFactorChecks

Default checks for factor variables

summaryFunction for minimum and maximum

A checkFunction for identifying sparsely represented values (loners)

defaultCharacterSummaries

Default summary functions for character variables

defaultLogicalSummaries

Default summary functions for logical variables

defaultNumericChecks

Default checks for numeric variables

defaultLabelledChecks

Default checks for labelled variables

defaultFactorSummaries

Default summary functions for factor variables

defaultIntegerChecks

Default checks for integer variables

Check if a variable has a class supported by dataReporter

defaultIntegerSummaries

Default summary functions for integer variables

Simplified Rmarkdown rendering

defaultLabelledSummaries

Default summary functions for labelled variables

identifyWhitespace

A checkFunction for identifying whitespace

identifyOutliers

A checkFunction for identifying outliers

defaultNumericSummaries

Default summary functions for numeric variables

Semi-artificial data about the US presidents

identifyOutliersTBStyle

A checkFunction for identifying outliers Turkey Boxstole style

Check if a variable qualifies as a key

Set check arguments for makeDataReport

Create object of class summaryResult

Produce a data codebook

Check if a variable consists of Danish CPR numbers

identifyMissing

A checkFunction for identifying miscoded missing values.

summaryFunction for quartiles

Check if a variable only contains a single value

summaryFunction that finds reference level for factor variables

Smart class to handle numerics as factor

Extended example data to test the features of dataReporter

Summarize a variable/dataset

A checkFunction

Produce tables for the makeDataReport visualizations.

Small example data to show the features of dataReporter

Produce distribution plots using ggplot from ggplot2.

Produce a data report

messageGenerator

Produce a message for the output of a checkFunction

Set summary arguments for makeDataReport

summaryFunction

Create an object of class summaryFunction

summaryFunction for unique values

Set visual arguments for makeDataReport

Summary function for original class

Create an object of class visualFunction

Produce distribution plots

whoami_available

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

allSummaryFunctions

Overview of all available summaryFunctions

Semi-artificial data about masterpieces of art