tabulate_patterns.cluster_pairs {reclin2}

Create a table of comparison patterns

Description

Create a table of comparison patterns

Usage

## S3 method for class 'cluster_pairs'
tabulate_patterns(pairs, on, comparators, complete = TRUE, ...)

tabulate_patterns(pairs, on, comparators, complete = TRUE, ...)

## S3 method for class 'pairs'
tabulate_patterns(pairs, on, comparators, complete = TRUE, ...)

Arguments

pairs

a pairs object, such as generated by pair_blocking

on

variables from pairs defining the comparison patterns. When missing names(comparators) is used.

comparators

a list with comparison functions for each of the columns. When missing or NULL, the function looks for columns in pairs with a comparator attribute.

complete

add patterns that do not occur in the dataset to the result (with n = 0).

...

passed on to other methods.

Details

Since comparison vectors can contain continuous numbers (usually between 0 and 1), this could result in a very large number of possible comparison vectors. Therefore, the comparison vectors are passed on to the comparators in order to threshold them. This usually results in values 0 or 1. Missing values are usually codes as 0. However, this all depends on the comparison functions used. For more information see the documentation on the comparison functions.

Value

Returns a data.frame with all unique comparison patterns that exist in pairs, with a column n added with the number of times each pattern occurs.

Examples

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