View source: R/tabulate_patterns.R
tabulate_patterns.cluster_pairs | R Documentation |
Create a table of comparison patterns
## 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, ...)
pairs |
a |
on |
variables from |
comparators |
a list with comparison functions for each of the
columns. When missing or |
complete |
add patterns that do not occur in the dataset to the result
(with |
... |
passed on to other methods. |
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.
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.
data("linkexample1", "linkexample2")
pairs <- pair_blocking(linkexample1, linkexample2, "postcode")
pairs <- compare_pairs(pairs, c("lastname", "firstname", "address", "sex"))
tabulate_patterns(pairs)
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