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adegenet (version 2.1.10)

Hs.test: Test differences in expected heterozygosity (Hs)

Description

This procedure permits to test if two groups have significant differences in expected heterozygosity (Hs). The test statistic used is simply the difference in Hs between the two groups 'x' and 'y':

Usage

Hs.test(x, y, n.sim = 999, alter = c("two-sided", "greater", "less"))

Value

an object of the class randtest

Arguments

x

a genind object.

y

a genind object.

n.sim

the number of permutations to be used to generate the reference distribution.

alter

a character string indicating the alternative hypothesis

Author

Thibaut Jombart t.jombart@imperial.ac.uk

Details

\(Hs(x) - Hs(y)\)

Individuals are randomly permuted between groups to obtain a reference distribution of the test statistics.

See Also

Hs to compute Hs for different populations; as.randtest for the class of Monte Carlo tests.

Examples

Run this code
if (FALSE) {
data(microbov)
Hs(microbov)
test <- Hs.test(microbov[pop="Borgou"],
                microbov[pop="Lagunaire"],
                n.sim=499)
test
plot(test)
}

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