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 2.1.10 Index]