conStruct.data

A simulated dataset containing the allele frequency 
and sampling coordinate data necessary to run a 
<code>conStruct</code> analysis.

datasets

A method for modeling genetic data as a combination of discrete
layers, within each of which relatedness may decay continuously with geographic
distance. This package contains code for running analyses (which are implemented
in the modeling language 'rstan') and visualizing and interpreting output. See the
paper for more details on the model and its utility.

Gideon Bradburd

conStruct

Models Spatially Continuous and Discrete Population Genetic
Structure

conStruct.data function

A list with two elements:<dl>
	<dt>allele.frequencies</dt>
<dd>a matrix with one row for each of 
		the 16 samples and one column for each of 10,000 loci, 
		giving the frequency of the counted allele at each locus 
		in each sample</dd>	<dt>coords</dt>
<dd>a matrix with one row for each of the 16 samples, 
		in the same order as that of the allele frequency matrix, 
		and two columns, the first giving the x-coordinate 
		(or longitude), the second giving the y-coordinate (or latitude)</dd>
</dl>

Format

Example dataset used in a conStruct analysis — conStruct.data

A list with two elements:<dl>
	<dt>allele.frequencies</dt>
<dd>a matrix with one row for each of 
		the 16 samples and one column for each of 10,000 loci, 
		giving the frequency of the counted allele at each locus 
		in each sample</dd>

	<dt>coords</dt>
<dd>a matrix with one row for each of the 16 samples, 
		in the same order as that of the allele frequency matrix, 
		and two columns, the first giving the x-coordinate 
		(or longitude), the second giving the y-coordinate (or latitude)</dd>


</dl>

conStruct.data: Example dataset used in a `conStruct` analysis

Description

Usage

Arguments

Format