## Usage

c_score_skew(m = matrix(rbinom(100, 1, 0.5), nrow = 10))

## Arguments

- m
- a binary presence-absence matrix in which rows are species and columns
are sites.

## Value

Returns the skewness of the C-score calculated across all possible
species pairs in the matrix.

## Description

Takes a binary presence-absence matrix and returns
the skewness of the Stone and Roberts' (1990) C-score.

## Details

A large positive value of skewness implies a preponderance of species pairs
with large C-score values (segregated), whereas a large negative value of
skewness implies a preponderance of species pairs with small C-score values
(aggregated).

## Note

The matrix-wide C-score is not calculated for missing species, so empty
rows in the matrix do not affect the result. This index has not been
thoroughly tested with real data sets.

## References

Stone, L. and A. Roberts. 1990. The checkerboard score and species
distributions. Oecologia 85: 74-79.

Stone, L. and A. Roberts. 1992. Competitive exclusion, or species aggregation?
An aid in deciding. Oecologia 91: 419-424.

## Examples

skewCScore <- c_score_skew(m=matrix(rbinom(100,1,0.5),nrow=10))