Get the full matching patterns for all matched pairs in dataset A and dataset B
getPatterns(
matchesA,
matchesB,
varnames,
stringdist.match,
numeric.match,
partial.match,
stringdist.method = "jw",
cut.a = 0.92,
cut.p = 0.88,
jw.weight = 0.1,
cut.a.num = 1,
cut.p.num = 2.5
)getPatterns() returns a dataframe with a row for each matched pair,
where each column indicates the matching pattern for each matching variable.
A dataframe of the matched observations in dataset A, with all variables used to inform the match.
A dataframe of the matched observations in dataset B, with all variables used to inform the match.
A vector of variable names to use for matching. Must be present in both matchesA and matchesB.
A vector of booleans, indicating whether to use string distance matching when determining matching patterns on each variable. Must be same length as varnames.
A vector of booleans, indicating whether to use numeric pairwise distance matching when determining matching patterns on each variable. Must be same length as varnames.
A vector of booleans, indicating whether to include a partial matching category for the string distances. Must be same length as varnames. Default is FALSE for all variables.
String distance method for calculating similarity, options are: "jw" Jaro-Winkler (Default), "jaro" Jaro, and "lv" Edit
Lower bound for full string-distance match, ranging between 0 and 1. Default is 0.92
Lower bound for partial string-distance match, ranging between 0 and 1. Default is 0.88
Parameter that describes the importance of the first characters of a string (only needed if stringdist.method = "jw"). Default is .10
Lower bound for full numeric match. Default is 1
Lower bound for partial numeric match. Default is 2.5
Ted Enamorado <ted.enamorado@gmail.com> and Ben Fifield <benfifield@gmail.com>