test.g: Tests the significance of the effect of level on genetic...
In hierfstat: Estimation and Tests of Hierarchical F-Statistics
test.g R Documentation
Tests the significance of the effect of level on genetic differentiation
Description
Tests the significance of the effect of level on genetic differentiation
Usage
test.g(data = data, level, nperm = 100,...)
Arguments
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
Value
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
Author(s)
Jerome Goudet jerome.goudet@unil.ch
Examples
data(gtrunchier)
attach(gtrunchier)
test.g(gtrunchier[,-c(1,2)],Locality)
hierfstat documentation built on May 6, 2022, 1:05 a.m.
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| test.g | R Documentation |
Tests the significance of the effect of level on genetic differentiation
Description
Tests the significance of the effect of level on genetic differentiation
Usage
test.g(data = data, level, nperm = 100,...)
Arguments
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 |
Value
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 |
Author(s)
Jerome Goudet jerome.goudet@unil.ch
Examples
data(gtrunchier) attach(gtrunchier) test.g(gtrunchier[,-c(1,2)],Locality)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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