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dataMaid  

A Suite of Checks for Identification of Potential Errors in a Data Frame as Part of the Data Screening Process
View on CRAN: Click here


Download and install dataMaid package within the R console
Install from CRAN:
install.packages("dataMaid")

Install from Github:
library("remotes")
install_github("cran/dataMaid")

Install by package version:
library("remotes")
install_version("dataMaid", "1.4.2")



Attach the package and use:
library("dataMaid")
Maintained by
Claus Thorn Ekstrøm
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-01-02
Latest Update: 2025-04-13
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.
How to cite:
Claus Thorn Ekstrøm (2017). dataMaid: A Suite of Checks for Identification of Potential Errors in a Data Frame as Part of the Data Screening Process. R package version 1.4.2, https://cran.r-project.org/web/packages/dataMaid. Accessed 28 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:30), 0.9.2 (2017-01-02 18:05), 1.0.0 (2017-11-10 10:41), 1.1.0 (2018-02-06 18:33), 1.1.2 (2018-05-03 20:36), 1.2.0 (2018-10-03 19:10), 1.3.0 (2019-06-07 22:20), 1.3.1 (2019-07-10 15:50), 1.3.2 (2019-07-28 00:00), 1.4.0 (2019-12-10 20:20), 1.4.1 (2021-10-08 06:10)
Other packages that cited dataMaid R package
View dataMaid citation profile
Other R packages that dataMaid depends, imports, suggests or enhances
Complete documentation for dataMaid
Functions, R codes and Examples using the dataMaid R package
Some associated functions: allCheckFunctions . allClasses . allSummaryFunctions . allVisualFunctions . artData . basicVisual . basicVisualCFLB . bigPresidentData . centralValue . check . checkFunction . checkResult . classes . countMissing . defaultCharacterChecks . defaultCharacterSummaries . defaultDateChecks . defaultDateSummaries . defaultFactorChecks . defaultFactorSummaries . defaultHavenlabelledChecks . defaultHavenlabelledSummaries . defaultIntegerChecks . defaultIntegerSummaries . defaultLabelledChecks . defaultLabelledSummaries . defaultLogicalChecks . defaultLogicalSummaries . defaultNumericChecks . defaultNumericSummaries . description . exampleData . identifyCaseIssues . identifyLoners . identifyMissing . identifyNums . identifyOutliers . identifyOutliersTBStyle . identifyWhitespace . isCPR . isKey . isSingular . isSupported . makeCodebook . makeDataReport . messageGenerator . minMax . presidentData . quartiles . refCat . render . setChecks . setSummaries . setVisuals . standardVisual . summarize . summaryFunction . summaryResult . tableVisual . testData . toyData . uniqueValues . variableType . visualFunction . visualize . whoami_available . 
Some associated R codes: aggregateForBarplot.R . aggregateForHistogram.R . allCheckFunctions.R . allClasses.R . allSummaryFunctions.R . allVisualFunctions.R . allXFunctions.R . basicVisual.R . centralValue.R . check.R . checkFunction.R . checkResult.R . classes.R . countMissing.R . dataMaid-package.R . dataMaid_as_factor.R . description.R . identifyCaseIssues.R . identifyLoners.R . identifyMissing.R . identifyNums.R . identifyOutliers.R . identifyOutliersTBStyle.R . identifyWhitespace.R . isCPR.R . isEmpty.R . isKey.R . isSingular.R . isSupported.R . makeCodebook.R . makeDataReport.R . makeXFunction.R . messageGenerator.R . minMax.R . misc.R . quartiles.R . refCat.R . render.R . setChecks.R . setSummaries.R . setVisuals.R . smartNum.R . standardVisual.R . summarize.R . summaryFunction.R . summaryResult.R . tableVisual.R . uniqueValues.R . unpackLabelled.R . utility.R . variableType.R . visualFunction.R . visualize.R .  Full dataMaid package functions and examples
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