dataCompareR v0.1.0

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by Rob Noble-Eddy

Compare Two Data Frames and Summarise the Difference

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.

Functions in dataCompareR

Name Description
allVarMatchMessage allVarMatchMessage
checkEmpty checkEmpty
collapseClasses collapseClasses. Collapse the classes of an object to a single string
colsWithUnequalValues colsWithUnequalValues: a dataframe summarising a column with unequal values
checkForRCompareCol checkForRcompareCol
checkKeysExist checkKeysExist
createMeta Takes the raw info for the meta block of the output and puts it in a format usable by the updateCompareObject function
createMismatchObject Create mismatch object
createRowMatching function for updating a compare object with information passed to it from the match rows function
createTextSummary createTextSummary: create a text based summary of an dataCompareR object
createMismatches Create mismatch object
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.
generateMismatchData Extract data from a dataCompareR comparison
checkUniqueness Checks that a list of indexes areunique
cleanColNames cleanColNames : get colnames, remove leading and trailing whitespace and push to upper case
compareData Compare data. Wrapper for comparison functionality.
compareNames compareNames : compare the intersect of colInfoA and colInfoB and return boolean of matched columns for each data frame
currentObjVersion Place to store and access the current object version.
executeCoercions executeCoercions:
matchSingleIndex Generate two dataframes that contain the same rows based on a single index
coerceData coerceData
coerceFactorsToChar coerceFactorsToChar: convert all factor type fields to characters
createAntiSubset Create a dataframe of the rows that don't match
createCleaningInfo Converts cleaning info into a format consumable by updateCompareObject.
getMismatchColNames Extracts the column names only in one data frame from a table of match information
is.dataCompareRobject Check object is of class dataCompareRobject
makeValidKeys makeValidKeys
makeValidNames makeValidNames
print.dataCompareRobject Printing RCompare Output
print.summary.dataCompareRobject Printing summaryRCompare 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
getCoercions Subsets on the variables that have a coercion.
listObsVerbose listObsVerbose
locateMismatches Checks whether elements in two input data frames are equal.
metaDataInfo Creates a list of info about the dataframe.
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
rounddf Round all numeric fields in a data frame
updateCompareObject.colmatching Adds a colMatching block to the output
createColMatching Converts the output of the column matching logic to something consumable by updateCompareObject.
createCompareObject Generates an empty list of the correct class to store results
isNotNull isNotNull: is object not null
listObsNotVerbose listObsNotVerbose
matchColumns matchColumns : create subset of DFA and DFB to contain matching column names for both data frames
updateCompareObject.matches Adds a colMatching block to the output
updateCompareObject.rowmatching Adds a rowMatching block to the output
validateArguments validateArguments
matchMultiIndex Generate two dataframes that contain the same rows based on a two-column index
mismatchHighStop mismatchHighStop Checks if we've exceeded threshold of mismatches
orderColumns orderColumns: order columns by treated column names
updateCompareObject.meta Takes raw info for meta and adds it to the compare object
updateCompareObject.mismatches Adds a colMatching block to the output
validateData validateData : routine to validate the input data
variableDetails Create variable mismatch details
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
summary.dataCompareRobject Summarizing RCompare Output
trimCharVars trimCharVars: trim white spaces in character variables from an input dataframe
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.
processFlow processFlow Handles the process flow for the whole package
rCompare Compare two data frames
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
variableMismatches Create variable mismatch table
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License Apache License 2.0 | file LICENSE
LazyData true
RoxygenNote 6.0.1
VignetteBuilder knitr
NeedsCompilation no
Packaged 2017-07-17 10:47:12 UTC; ODY153
Repository CRAN
Date/Publication 2017-07-17 17:16:22 UTC

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