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dataCompareR (version 0.1.2)

Compare Two Data Frames and Summarise the Difference

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.

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Install

install.packages('dataCompareR')

Monthly Downloads

524

Version

0.1.2

License

Apache License 2.0 | file LICENSE

Issues

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Maintainer

Rob Noble-Eddy

Last Published

September 19th, 2018

Functions in dataCompareR (0.1.2)

createCompareObject

Generates an empty list of the correct class to store results
makeValidKeys

makeValidKeys
processFlow

processFlow Handles the process flow for the whole package
matchColumns

matchColumns : create subset of DFA and DFB to contain matching column names for both data frames
variableMismatches

Create variable mismatch table
compareNames

compareNames : compare the intersect of colInfoA and colInfoB and return boolean of matched columns for each data frame
matchMultiIndex

Generate two dataframes that contain the same rows based on a two-column index
checkEmpty

checkEmpty
rCompare

Compare two data frames
createAntiSubset

Create a dataframe of the rows that don't match
collapseClasses

collapseClasses. Collapse the classes of an object to a single string
createMeta

Takes the raw info for the meta block of the output and puts it in a format usable by the updateCompareObject function
createCleaningInfo

Converts cleaning info into a format consumable by updateCompareObject.
createColMatching

Converts the output of the column matching logic to something consumable by updateCompareObject.
makeValidNames

makeValidNames
getCoercions

Subsets on the variables that have a coercion.
is.dataCompareRobject

Check object is of class dataCompareRobject
getMismatchColNames

Extracts the column names only in one data frame from a table of match information
isNotNull

isNotNull: is object not null
outputSectionHeader

outputSectionHeader: creates an outputSectionHeader
prepareData

prepareData Prepares data for comparison in 3 stages. 1. Match columns - filter dataframes to those columns that match and summarise differences 2. Match rows - filter dataframes to those rows that match and summarise differences 3. Coerce data
isSingleNA

isSingleNA
listObsNotVerbose

listObsNotVerbose
createMismatchObject

Create mismatch object
checkKeysExist

checkKeysExist
colsWithUnequalValues

colsWithUnequalValues: a dataframe summarising a column with unequal values
createMismatches

Create mismatch object
warnLargeData

Warn users if the calculation is likely to be slow
executeCoercions

executeCoercions:
generateMismatchData

Extract data from a dataCompareR comparison
print.dataCompareRobject

Printing RCompare Output
listObsVerbose

listObsVerbose
summary.dataCompareRobject

Summarizing RCompare Output
updateCompareObject.colmatching

Adds a colMatching block to the output
locateMismatches

Checks whether elements in two input data frames are equal.
trimCharVars

trimCharVars: trim white spaces in character variables from an input dataframe
compareData

Compare data. Wrapper for comparison functionality.
print.summary.dataCompareRobject

Printing summaryRCompare Output
updateCompareObject.matches

Adds a colMatching block to the output
createReportText

createReportText: prepares text which is used in the summary report Saves R markdown and HTML reports in the area specified by the user. Reports are called RcompareReport.Rmd (.html) Uses knitr package to create tables in the markdown (createReportText function) and HTML report.
updateCompareObject.rowmatching

Adds a rowMatching block to the output
validateArguments

validateArguments
updateCompareObject.mismatches

Adds a colMatching block to the output
saveReport

Save a report based on a dataCompareR object
subsetDataColumns

subsetDataColumns : create subset of DFA and DFB to contain matching column names for both data frames
updateCompareObject.meta

Takes raw info for meta and adds it to the compare object
createRowMatching

function for updating a compare object with information passed to it from the match rows function
matchNoIndex

Generate two dataframes that contain the same rows based on a two-column index
matchRows

Generate two dataframes and returns subsets of these dataframes that have shared rows.
mismatchHighStop

mismatchHighStop Checks if we've exceeded threshold of mismatches
orderColumns

orderColumns: order columns by treated column names
updateCompareObject

Generic function for updating a compare object with information passed to it, that has methods based on the class of the info argument.
updateCompareObject.cleaninginfo

Updates cleaning info in the compare object
matchSingleIndex

Generate two dataframes that contain the same rows based on a single index
metaDataInfo

Creates a list of info about the dataframe.
validateData

validateData : routine to validate the input data
rcompObjItemLength

rcompObjItemLength: return length of an item, returning 0 if null, and handling the fact that we might have a data frames or a vector
variableDetails

Create variable mismatch details
rounddf

Round all numeric fields in a data frame
checkForRCompareCol

checkForRcompareCol
allVarMatchMessage

allVarMatchMessage
checkUniqueness

Checks that a list of indexes areunique
cleanColNames

cleanColNames : get colnames, remove leading and trailing whitespace and push to upper case
checkNA

CheckNA
coerceData

coerceData
coerceFactorsToChar

coerceFactorsToChar: convert all factor type fields to characters
createTextSummary

createTextSummary: create a text based summary of an dataCompareR object
currentObjVersion

Place to store and access the current object version.