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dataCompareR  

Compare Two Data Frames and Summarise the Difference
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("dataCompareR", "0.1.4")



Attach the package and use:
library("dataCompareR")
Maintained by
Sarah Johnston
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-07-17
Latest Update: 2021-11-23
Description:
Easy comparison of two tabular data objects in R. Specifically designed to show differences between two sets of data in a useful way that should make it easier to understand the differences, and if necessary, help you work out how to remedy them. Aims to offer a more useful output than all.equal() when your two data sets do not match, but isn't intended to replace all.equal() as a way to test for equality.
How to cite:
Sarah Johnston (2017). dataCompareR: Compare Two Data Frames and Summarise the Difference. R package version 0.1.4, https://cran.r-project.org/web/packages/dataCompareR
Previous versions and publish date:
0.1.0 (2017-07-17 19:16), 0.1.1 (2017-11-14 10:01), 0.1.2 (2018-09-19 10:40), 0.1.3 (2020-05-01 00:30)
Other packages that cited dataCompareR R package
View dataCompareR citation profile
Other R packages that dataCompareR depends, imports, suggests or enhances
Functions, R codes and Examples using the dataCompareR R package
Some associated functions: allVarMatchMessage . checkEmpty . checkForRCompareCol . checkKeysExist . checkNA . checkUniqueness . cleanColNames . coerceData . coerceFactorsToChar . collapseClasses . colsWithUnequalValues . compareData . compareNames . createAntiSubset . createCleaningInfo . createColMatching . createCompareObject . createMeta . createMismatchObject . createMismatches . createReportText . createRowMatching . createTextSummary . currentObjVersion . executeCoercions . generateMismatchData . getCoercions . getMismatchColNames . is.dataCompareRobject . isNotNull . isSingleNA . listObsNotVerbose . listObsVerbose . locateMismatches . makeValidKeys . makeValidNames . matchColumns . matchMultiIndex . matchNoIndex . matchRows . matchSingleIndex . metaDataInfo . mismatchHighStop . orderColumns . outputSectionHeader . prepareData . print.dataCompareRobject . print.summary.dataCompareRobject . processFlow . rCompare . rcompObjItemLength . rounddf . saveReport . subsetDataColumns . summary.dataCompareRobject . trimCharVars . updateCompareObject.cleaninginfo . updateCompareObject.colmatching . updateCompareObject.matches . updateCompareObject.meta . updateCompareObject.mismatches . updateCompareObject . updateCompareObject.rowmatching . validateArguments . validateData . variableDetails . variableMismatches . warnLargeData . 
Some associated R codes: cd_compareData.R . cd_createMismatchObject.R . cd_locateMismatches.R . out_createReportText.R . out_generateMismatchData.R . out_helperFunctions.R . out_outputStructureFunctions.R . out_printrcompareobject.R . out_printsummaryrcompareobject.R . out_rCompObjectQueryFunctions.R . out_saveReport.R . out_summaryrcompareobject.R . out_unifiedOutputGenerator.R . pd_coerceFactorsToChar.R . pd_executeCoercions.R . pd_matchColumns.R . pd_matchRows.R . pd_prepareData.R . pd_trimCharVars.R . pf_createCompareObject.R . pf_processFlow.R . rc_coerceData.R . rc_isRCompareObject.R . rc_rCompare.R . rc_rounddf.R . rc_validateArguments.R . rco_createCleaningInfo.R . rco_createColMatching.R . rco_createMeta.R . rco_createMismatches.R . rco_createRowMatching.R . rco_currentObjVersion.R . rco_updateCompareObject.R . rco_updateCompareObject_CleaningInfo.R . rco_updateCompareObject_ColMatching.R . rco_updateCompareObject_Matches.R . rco_updateCompareObject_Meta.R . rco_updateCompareObject_Mismatches.R . rco_updateCompareObject_RowMatching.R . vd_checkColumnNames.R . vd_checkEmpty.R . vd_checkKeysExists.R . vd_validateData.R . zzz.R .  Full dataCompareR package functions and examples
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