dist_euclidean: Estimation of euclidean distance

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

Estimation of euclidean distance

Description

This function returns a measure of genetic distance based upon the euclidean frequency distance metric.

Usage

dist_euclidean(x, stratum = "Population")

Arguments

x	The genetic data, either as a single locus or multilocus (data.frame) object.
stratum	The groups among which you are going to estimate genetic distances.

Value

A matrix of euclidean distance estimates.

Author(s)

Rodney J. Dyer [e-mail]

Examples

  AA <- locus( c("A","A") )
  AB <- locus( c("A","B") )
  BB <- locus( c("B","B") )
  loci <- c(AA,AA,AB,AA,BB,BB,BB,AB,BB,AB)
  df <- data.frame( Population=c(rep("A",5),rep("B",5) ), TPI=loci )
  dist_euclidean(df)

dyerlab/gstudio documentation built on Jan. 17, 2025, 11:17 a.m.