hierfstat: test.g – R documentation

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test.g

Tests the significance of the effect of level on genetic differentiation

Tests the significance of the effect of level on genetic differentiation

test.g(data = data, level, nperm = 100,...)

`data`	a data frame containing the genotypes for the different loci
`level`	A vector containing the assignment of each observation to its level
`nperm`	The number of permutations to carry out for the test
`...`	Mainly here to allow passing `diploid=FALSE` if necessary

`g.star`	A vector containing all the generated g-statistics, the last one beeing the observed
`p.val`	The p-value associated with the test

data(gtrunchier)
attach(gtrunchier)
test.g(gtrunchier[,-c(1,2)],Locality)

Estimation and Tests of Hierarchical F-Statistics

v0.5-10

GPL (>= 2)

Authors

Jerome Goudet [aut, cre], Thibaut Jombart [aut], Zhian N. Kamvar [ctb], Eric Archer [ctb], Olivier Hardy [ctb]

Initial release

2021-11-16