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Morisita's (1959) index of the counts in n equal quadrats, I = n (sum x^2 - S) / (S^2 - S) with S the total: 1 for a random pattern, above for clumping (n when all fall in one quadrat), below for an even spread. The uniform and clumped indices are the values of I at the crit / 2 tails of chi-square on n - 1 degrees of freedom, and the standardised index of Smith-Gill (1975) maps I onto [-1, 1] with them at -0.5 and 0.5; chi = I (S - 1) + n - S has the chi-square distribution under randomness. These are the values of vegan::dispindmorisita().

Usage

morsta(counts, crit = 0.05)

Arguments

counts

The counts: numbers from 0, at least two, adding up to more than 1 (a qdrtst() count matrix will do).

crit

The level of the critical indices, above 0 and below 1.

Value

A named vector: imor, mclu, muni, imst, chi and p (its upper chi-square tail).

References

Morisita, M. (1959). Measuring of the dispersion of individuals and analysis of the distributional patterns. Memoirs of the Faculty of Science, Kyushu University, Series E (Biology), 2, 215-235.

Smith-Gill, S. J. (1975). Cytophysiological basis of disruptive pigmentary patterns in the leopard frog Rana pipiens. II. Wild type and mutant cell-specific patterns. Journal of Morphology, 146(1), 35-54. doi:10.1002/jmor.1051460103

Examples

morsta(c(3, 0, 7, 12, 1, 4, 0, 9))
#>         imor         mclu         muni         imst          chi            p 
#> 1.676190e+00 1.257508e+00 8.482820e-01 5.310481e-01 3.066667e+01 7.161935e-05