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Last data update: 2014.03.03

R: Compute Coltheart's N

coltheart.N

R Documentation

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.

Author(s)

Emmanuel Keuleers

References

Coltheart, M., Davelaar, E., Jonasson, J. T., & Besner, D. (1977). Access to the internal lexicon. Attention and performance VI, 535â555.

Examples

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