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vwr (version 0.3.0)

coltheart.N: Compute Coltheart's N

Description

Compute Coltheart's N measure (the number of neighbors at distance 1).

Usage

coltheart.N(sources, targets, distance = 1, method = "hamming", parallel = FALSE)

Arguments

sources
a list of words for which Coltheart's N should be computed. Must be of type character, or convertible to type character with as.character.
targets
a list of words containing possible neighbors. Must be of type character, or convertible to type character with as.character.
parallel
with parallel=TRUE, coltheart.N will run in parallel an multiple cores. The number of parallel processes is specified by detectCores(logical = FALSE).
distance
specifies the distance on which N should be based. This should be left to 1 to compute the original measure.
method
with method="hamming", compute N based on the hamming.distance, with method="levenshtein", compute N based on the levenshtein.distance with method="levenshtein-damerau", compute N based on the levenshtein.damerau.distance

Value

An integer vector with names corresponding to sources.

References

Coltheart, M., Davelaar, E., Jonasson, J. T., & Besner, D. (1977). Access to the internal lexicon. Attention and performance VI, 535–555.

See Also

hamming.distance,levenshtein.distance

Examples

Run this code
data(spanish.words)
sample.words<-sample(spanish.words,20)
coltheart.N(sample.words,spanish.words)
coltheart.N(sample.words,spanish.words, method='levenshtein')

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