Expected heterozygosity (Hs)
This function computes the expected heterozygosity (Hs) within
populations of a genpop object. This function is
available for codominant markers (@type="codom"
) only. Hs is
commonly used for measuring within population genetic diversity (and
as such, it still has sense when computed from haploid data).
Hs(x, pop = NULL)
Let m(k) be the number of alleles of locus k, with a
total of K loci. We note f_i the allele frequency of
allele i in a given population. Then, Hs is given for a
given population by:
\frac{1}{K} ∑_{k=1}^K (1 - ∑_{i=1}^{m(k)} f_i^2)
a vector of Hs values (one value per population)
Thibaut Jombart t.jombart@imperial.ac.uk
Hs.test
to test differences in Hs between two groups
## Not run: data(nancycats) Hs(genind2genpop(nancycats)) ## End(Not run)
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