Skip to contents

Binomial Co-Occurrence Assessment

Source: R/AllGenerics.R, R/occurrence.R
index_binomial.Rd

Binomial Co-Occurrence Assessment

Usage

index_binomial(x, y, ...)

# S4 method for class 'numeric,numeric'
index_binomial(x, y)

Arguments

x, y

A numeric vector.

...

Currently not used.

Value

A numeric vector.

Details

This assesses the degree of co-occurrence between taxa/types within a dataset. The strongest associations are shown by large positive numbers, the strongest segregations by large negative numbers.

The Binomial co-occurrence assessment approximates a Z-score.

References

Kintigh, K. (2006). Ceramic Dating and Type Associations. In J. Hantman and R. Most (eds.), Managing Archaeological Data: Essays in Honor of Sylvia W. Gaines. Anthropological Research Paper, 57. Tempe, AZ: Arizona State University, p. 17-26.

See also

Other beta diversity measures: index_brainerd(), index_bray(), index_cody(), index_jaccard(), index_morisita(), index_routledge, index_sorenson(), index_whittaker(), index_wilson()

Author

N. Frerebeau