compsim2

Calculates the complementaritry and dissimilarity between two 
or more communities base on .

Generates n hierarchical clustering hypotheses on subsets of classifiers (usually species in community ecology studies). The n clustering hypotheses are combined to generate a generalized cluster, and computes three metrics of support. 1) The average proportion of elements conforming the group in each of the n clusters (integrity). And 2) the contamination, i.e., the average proportion of elements from other groups that enter a focal group. 3) The probability of existence of the group gives the integrity and contamination in a Bayesian approach.

Roger Guevara

octopucs

Statistical Support for Hierarchical Clusters

Ian MacGregor-Fors

compsim2 function

<dl> <dt>M</dt>
<dd>A species times site matrix.</dd> 
</dl>

Arguments

Roger Guevara (roger.guevara@inecol.mx)

Author

Complementarity and disimilarity — compsim2

<dl>

 <dt>M</dt>
<dd>A species times site matrix.</dd>

 
</dl>

compsim2: Complementarity and disimilarity

Description

Usage

Value

Arguments

Author

References

Examples