skbio.diversity.alpha.mcintosh_d

skbio.diversity.alpha.mcintosh_d(counts)[source]

Calculate McIntosh dominance index D.

State: Experimental as of 0.4.0.

McIntosh dominance index D is defined as:

\[D = \frac{N - U}{N - \sqrt{N}}\]

where \(N\) is the total number of individuals in the sample and \(U\) is defined as:

\[U = \sqrt{\sum{{n_i}^2}}\]

where \(n_i\) is the number of individuals in the \(i^{\text{th}}\) OTU.

Parameters:

counts (1-D array_like, int) – Vector of counts.

Returns:

McIntosh dominance index D.

Return type:

double

See also

mcintosh_e

Notes

The index was proposed in [1]. The implementation here is based on the description given in the SDR-IV online manual [2].

References