Test of Hardy–Weinberg Equilibrium

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Description

This function tests, for a series of loci, the hypothesis that genotype frequencies follow the Hardy–Weinberg equilibrium. hw.test is a generic with methods for the classes "loci" and genind. Note that the latter replaces HWE.test.genind in the adegenet package.

Usage

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hw.test(x, B = 1000, ...)
## S3 method for class 'loci'
hw.test(x, B = 1000, ...)
## S3 method for class 'genind'
hw.test(x, B = 1000, ...)

Arguments

x

an object of class "loci" or genind.

B

the number of replicates for the Monte Carlo procedure; for the regular HW test, set B = 0 (see details).

...

further arguments to be passed.

Details

This test can be performed with any level of ploidy. Two versions of the test are available: the classical chi^2-test based on the expected genotype frequencies calculated from the allelic frequencies, and an exact test based on Monte Carlo permutations of alleles. For the moment, the latter version is available only for diploids. Set B = 0 if you want to skip the second test.

Value

A matrix with three or four columns with the chi^2-value, the number of degrees of freedom, the associated P-value, and possibly the P-value from the Monte Carlo test. The rows of this matrix are the different loci in x.

Author(s)

Main code by Emmanuel Paradis; wrapper for genind objects by Thibaut Jombart.

Examples

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## Not run: 
require(adegenet)

## load data
data(nancycats)

## test on genind object, no permutation
hw.test(nancycats, B=0)

## test on loci object
x <- as.loci(nancycats)
hw.test(x)

## End(Not run)
data(jaguar)
hw.test(jaguar)

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