custom header test
c_score_var(m = matrix(rbinom(100, 1, 0.5), nrow = 10))
Takes a binary presence-absence matrix and returns the variance of the Stone and Roberts' (1990) C-score.
A large value of this variance implies that some species pairs in the matrix are strongly segregated (large C-score) and other species pairs are random or aggregated.
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.
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.
varCScore <- c_score_var(m=matrix(rbinom(100,1,0.5),nrow=10))
c_score
co-occurrence index.