CorDdPlot: Plot the relation between genetic differentiation (Delta D)...

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

Plot the relation between genetic differentiation (Delta D) and geographic distance

Description

This function plots the linear regression of genetic differentiation (Delta D) against geographic distance.

Usage

CorDdPlot(x, d, ncode)

Arguments

x	The genetic file, here is ge19900516qxh nepop format file.
d	Geographic distance.If D is TRUE, you should input the matrix of geographic distance; if no realistic distance,d should be set as NULL, then the default distance will be generated according to the order of the population sequence.
ncode	The type of your coding allele

Value

plot	Return to a linear plot for the relation between genetic differentiation (Delta D) and geographic distance.
lm	Return to details of linear regression between genetic differentiation (Delta D) and geographic distance.

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.

Gaggiotti, O. E., Chao, A., Peres-Neto, P., Chiu, C. H., Edwards, C., Fortin, M. J., ... & Selkoe, K. A. (2018). Diversity from genes to ecosystems: A unifying framework to study variation across biological metrics and scales. Evolutionary Applications.

Examples

# example genepop file
#f <- system.file('extdata',package='HierDpart')
#infile <- file.path(f, "Island.gen")
#CorDdPlot(infile,d=NULL,ncode=3)

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