Compute orthographic-neighbourhood dimensions (Coltheart's N and OLD20)

n_density is Coltheart's N: the number of reference words of the same length differing by a single letter substitution (Hamming distance 1). old20 is the mean Levenshtein distance to the 20 nearest reference words (Yarkoni et al., 2008). Both are computed against reference, which should be a large word list (typically the whole lexicon), not just the experimental pool.

Usage

add_neighbourhood(df, reference = df$word, n_old = 20L)

Arguments

df

A data frame with a word column.

reference

A character vector of reference words.

n_old

Neighbourhood size for OLD (default 20).

Value

df with added integer n_density and numeric old20 columns.