skbio.diversity.alpha.mcintosh_e¶
- skbio.diversity.alpha.mcintosh_e(counts)[source]¶
Calculate McIntosh’s evenness measure E.
State: Experimental as of 0.4.0.
McIntosh 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 \(i^{\text{th}}\) OTU, \(N\) is the total number of individuals, and \(S\) is the number of OTUs in the sample.
- Parameters:
counts (1-D array_like, int) – Vector of counts.
- Returns:
McIntosh evenness measure E.
- Return type:
double
See also
Notes
The implementation here is based on the description given in [1], NOT the one in the SDR-IV online manual, which is wrong.
References