R: Test differences in expected heterozygosity (Hs)

Hs.test {adegenet} | R Documentation

## 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 t.jombart@imperial.ac.uk

### 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)

[Package adegenet version 2.1.4 Index]