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dataReporter (version 1.0.2)

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

570

Version

1.0.2

License

GPL-2

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Repository

https://github.com/ekstroem/dataReporter

Maintainer

Claus Ekstrom

Last Published

November 11th, 2021

Functions in dataReporter (1.0.2)

basicVisualCFLB

importFrom stats na.omit

allCheckFunctions

Overview of all available checkFunctions

Semi-artificial data about masterpieces of art

Vector of all variable classes in dataReporter

summaryFunction for central values

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

allSummaryFunctions

Overview of all available summaryFunctions

allVisualFunctions

Overview of all available visualFunctions

bigPresidentData

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

Perform checks of potential errors in variable/dataset

defaultFactorChecks

Default checks for factor variables

defaultDateSummaries

Default summary functions for Date variables

defaultIntegerSummaries

Default summary functions for integer variables

defaultDateChecks

Default checks for Date variables

defaultIntegerChecks

Default checks for integer variables

A checkFunction

identifyMissing

A checkFunction for identifying miscoded missing values.

defaultFactorSummaries

Default summary functions for factor variables

defaultNumericChecks

Default checks for numeric variables

Create an object of class checkFunction

Create object of class checkResult

Extract the contents of the attribute classes

defaultCharacterChecks

Default checks for character variables

defaultNumericSummaries

Default summary functions for numeric variables

defaultLabelledChecks

Default checks for labelled variables

defaultCharacterSummaries

Default summary functions for character variables

defaultLabelledSummaries

Default summary functions for labelled variables

Check if a variable consists of Danish CPR numbers

identifyWhitespace

A checkFunction for identifying whitespace

Create object of class summaryResult

defaultLogicalChecks

Default checks for logical variables

identifyOutliers

A checkFunction for identifying outliers

Produce tables for the makeDataReport visualizations.

identifyOutliersTBStyle

A checkFunction for identifying outliers Turkey Boxstole style

Check if a variable only contains a single value

Check if a variable qualifies as a key

defaultLogicalSummaries

Default summary functions for logical variables

Example data with zero-inflated variables

Extract the contents of the attribute description

Produce distribution plots using ggplot from ggplot2.

Smart class to handle numerics as factor

messageGenerator

Produce a message for the output of a checkFunction

Extended example data to test the features of dataReporter

Check if a variable has a class supported by dataReporter

defaultHavenlabelledChecks

Default checks for haven_labelled variables

identifyCaseIssues

A checkFunction for identifying case issues

defaultHavenlabelledSummaries

Default summary functions for haven_labelled variables

Summary function for missing values

A checkFunction for identifying sparsely represented values (loners)

summaryFunction for minimum and maximum

Summarize a variable/dataset

summaryFunction for unique values

Semi-artificial data about the US presidents

summaryFunction

Create an object of class summaryFunction

Small example data to show the features of dataReporter

Produce distribution plots

Create an object of class visualFunction

Summary function for original class

summaryFunction for quartiles

summaryFunction that finds reference level for factor variables

Simplified Rmarkdown rendering

Set check arguments for makeDataReport

Produce a data codebook

Set summary arguments for makeDataReport

Set visual arguments for makeDataReport

whoami_available

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

Produce a data report