zeta.eder {stylo}

Compare two subcorpora using Eder's Zeta

Description

This is a function for comparing two sets of texts; unlike keywords analysis, it this method the goal is to split input texts into equal-sized slices, and to check the appearance of particular words over the slices. Number of slices in which a given word appeared in the subcorpus A and B is then compared using a distance derived from Canberra measure of similarity. Original Zeta was developed by Burrows and extended by Craig (Burrows 2007, Craig and Kinney 2009).

Usage

zeta.eder(input.data, filter.threshold)

Arguments

input.data

a matrix of two columns.

filter.threshold

this parameter (default 0.1) gets rid of words of weak discrimination strength; the higher the number, the less words appear in the final wordlists. It does not normally exceed 0.5.

Value

The function returns a list of two elements: the first contains words (or other units, like n-grams) statistically preferred by the authors of the primary subcorpus, while the second element contains avoided words. Since the applied measure is symmetrical, the preferred words are ipso facto avoided by the secondary authors, and vice versa.

Author(s)

Maciej Eder

References

Burrows, J. F. (2007). All the way through: testing for authorship in different frequency strata. "Literary and Linguistic Computing", 22(1): 27-48.

Craig, H. and Kinney, A. F., eds. (2009). Shakespeare, Computers, and the Mystery of Authorship. Cambridge: Cambridge University Press.

See Also

oppose, zeta.craig, zeta.chisquare

Examples

## Not run: 
zeta.eder(input.data, filter.threshold)

## End(Not run)