HierDjost: Hierarchical DJost

In xinghuq/HierDpart: Partitioning Diversity and Differentiation Across Metrics and Scales, from Genes to Ecosystems

Hierarchical DJost

Description

This function partitions the DJost into hierarchical levels

Usage

HierDjost(x, nreg, r, ncode)

Arguments

x	Input file, genepop format
nreg	The number of aggregates
r	The number of subaggregates in each aggregates
ncode	The integer used to code an allele

Details

This function partitions genetic differentiation, DJost, into different hierarchical levels

Value

HierDjost_perloc	DJost per locus
HieDjost_overall	Overall DJost
pairDjostp	Pairwise DJost between subaggregates (populations)
pairDjostr	Pairwise DJost between aggregates (regions)

Author(s)

[e-mail]

References

Qin, X., & Gaggiotti, O. E. (2022). Information-based summary statistics for spatial genetic structure inference. Molecular Ecology Resources, 22(6), 2183-2195.

Jost, L. O. U. (2008). GST and its relatives do not measure differentiation. Molecular ecology, 17(18), 4015-4026.

Examples

## Not run: 
f1 <- function(f) system.file("extdata", f,package="HierDpart")
HierDjost_Island=HierDjost(f1("Island.gen"),nreg=4,r=c(7,4,2,3),ncode=3)
print(HierDjost_Island)

## End(Not run)

xinghuq/HierDpart documentation built on March 21, 2023, 6:43 p.m.