skbio.diversity.alpha.mcintosh_e

skbio.diversity.alpha.mcintosh_e(counts)

Calculate McIntosh’s evenness measure.

McIntosh’s evenness measure \(E\) is defined as:

\[E = \frac{\sqrt{\sum{n_i^2}}}{\sqrt{((N-S+1)^2 + S -1}}\]

where \(n_i\) is the number of individuals in the \(i^{\text{th}}\) taxon, \(N\) is the total number of individuals, and \(S\) is the number of taxa in the sample.

Parameters:

counts1-D array_like, int

Vector of counts.

Returns:

float

McIntosh evenness measure.

See also

mcintosh_d

Notes

McIntosh’s evenness measure was originally described in [1].

References

[1]

Heip & Engels (1974) Comparing Species Diversity and Evenness Indices. p 560.