score_simsum: Score pairs by summing the similarity vectors

In reclin: Record Linkage Toolkit

Description

Score pairs by summing the similarity vectors

Usage

score_simsum(pairs, var = "simsum", by, add = TRUE, na_value = 0, ...)

Arguments

pairs	a pairs object, such as generated by pair_blocking
var	a character vector of length 1 with the name of the variable that will be created.
by	a character vector with the column names from pairs that should be summed. When missing the by attribute from pairs is used.
add	add the variable to the pairs object and return the pairs object. Otherwise, return a vector with the scores.
na_value	the value to use for missing values
...	passed on to other methods.

Details

The scores are calculated by summing the columns given by by. Missing values are counted as zeros.

Value

When add = TRUE the original pairs object is returned with the column given by var added to it. Otherwise a vector with scores is returned.

Examples

data("linkexample1", "linkexample2")
pairs <- pair_blocking(linkexample1, linkexample2, "postcode")
pairs <- compare_pairs(pairs, c("lastname", "firstname", "address", "sex"))
pairs <- score_simsum(pairs)
 

reclin documentation built on Nov. 23, 2021, 9:09 a.m.