genetic_autocorrelation: Performs 'Autocorrelation Analysis

In dyerlab/gstudio: Tools Related to the Spatial Analysis of Genetic Marker Data

Performs 'Autocorrelation Analysis

Description

This function takes two distance matrices, one for physical separation and the other for genetic separation as well as a bin size and performs the spatial autocorrelation analysis of Smouse & Peakall (1999).

Usage

genetic_autocorrelation(P, G, bins, perms = 0, plot = FALSE)

Arguments

P	A square physical distance matrix
G	A square genetic distance matrix (same size as P)
bins	The distance bins to be estimated. These will be taken sequentially such that the first bin will be all observations whose separation is greater than binsize[1] and less than binsize[2].
perms	The number of permutations to use to test significance at each distance bin.
plot	A flag (default=FALSE) to show distribution of randomized correlations.

Value

A data.frame with bins and correlations.

Author(s)

Rodney J. Dyer [e-mail]

dyerlab/gstudio documentation built on Feb. 2, 2024, 8:24 p.m.