| Jaro | R Documentation |
Compares a pair of strings/sequences x and y based on the number of
greedily-aligned characters/sequence elements and the number of
transpositions. It was developed for comparing names at the U.S. Census
Bureau.
Jaro(similarity = TRUE, ignore_case = FALSE, use_bytes = FALSE)
similarity |
a logical. If TRUE, similarity scores are returned (default), otherwise distances are returned (see definition under Details). |
ignore_case |
a logical. If TRUE, case is ignored when comparing strings. |
use_bytes |
a logical. If TRUE, strings are compared byte-by-byte rather than character-by-character. |
For simplicity we assume x and y are strings in this section,
however the comparator is also implemented for more general sequences.
When similarity = TRUE (default), the Jaro similarity is computed as
\mathrm{sim}(x, y) = \frac{1}{3}\left(\frac{m}{|x|} + \frac{m}{|y|} + \frac{m - \lfloor \frac{t}{2} \rfloor}{m}\right)
where m is the number of "matching" characters (defined below),
t is the number of "transpositions", and |x|,|y| are the
lengths of the strings x and y. The similarity takes on values
in the range [0, 1], where 1 corresponds to a perfect match.
The number of "matching" characters m is computed using a greedy
alignment algorithm. The algorithm iterates over the characters in x,
attempting to align the i-th character x_i with the first
matching character in y. When looking for matching characters in
y, the algorithm only considers previously un-matched characters
within a window
[\max(0, i - w), \min(|y|, i + w)]
where w = \left\lfloor \frac{\max(|x|, |y|)}{2} \right\rfloor - 1.
The alignment process yields a subsequence of matching characters from
x and y. The number of "transpositions" t is defined to
be the number of positions in the subsequence of x which are
misaligned with the corresponding position in y.
When similarity = FALSE, the Jaro distance is computed as
\mathrm{dist}(x,y) = 1 - \mathrm{sim}(x,y).
A Jaro instance is returned, which is an S4 class inheriting from
StringComparator.
The Jaro distance is not a metric, as it does not satisfy the
identity axiom \mathrm{dist}(x,y) = 0 \Leftrightarrow x = y.
Jaro, M. A. (1989), "Advances in Record-Linkage Methodology as Applied to Matching the 1985 Census of Tampa, Florida", Journal of the American Statistical Association 84(406), 414-420.
The JaroWinkler comparator modifies the Jaro comparator by
boosting the similarity score for strings/sequences that have matching
prefixes.
## Compare names
Jaro()("Martha", "Mathra")
Jaro()("Eileen", "Phyllis")
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