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dataReporter  

Reproducible Data Screening Checks and Report of Possible Errors
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("dataReporter", "1.0.5")



Attach the package and use:
library("dataReporter")
Maintained by
Claus Thorn Ekstrøm
[Scholar Profile | Author Map]
First Published: 2020-12-14
Latest Update: 2021-11-11
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, Ekstr
How to cite:
Claus Thorn Ekstrøm (2020). dataReporter: Reproducible Data Screening Checks and Report of Possible Errors. R package version 1.0.5, https://cran.r-project.org/web/packages/dataReporter. Accessed 06 May. 2025.
Previous versions and publish date:
1.0.0 (2020-12-14 10:50), 1.0.2 (2021-11-11 08:50)
Other packages that cited dataReporter R package
View dataReporter citation profile
Other R packages that dataReporter depends, imports, suggests or enhances
Complete documentation for dataReporter
Functions, R codes and Examples using the dataReporter 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 . smartNum . 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 . dataReporter-package.R . dataReporter_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 dataReporter package functions and examples
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