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

In adegenet: Exploratory Analysis of Genetic and Genomic Data

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"))

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

Details

Hs(x) - Hs(y)

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

Value

an object of the class randtest

Author(s)

Thibaut Jombart [e-mail]

See Also

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

Examples

## Not run: 
data(microbov)
Hs(microbov)
test <- Hs.test(microbov[pop="Borgou"],
                microbov[pop="Lagunaire"],
                n.sim=499)
test
plot(test)

## End(Not run)

adegenet documentation built on Feb. 16, 2023, 6 p.m.