read.Genepop

This function allows you to import a GENEPOP format file into R. Population names can be specified in the argument. See http://genepop.curtin.edu.au/help_input.html for details about GENEPOP format.

Use Monte-Carlo and K-fold cross-validation coupled with machine-
learning classification algorithms to perform population assignment, with
functionalities of evaluating discriminatory power of independent training
samples, identifying informative loci, reducing data dimensionality for genomic
data, integrating genetic and non-genetic data, and visualizing results.

Kuan-Yu Chen

assignPOP

Population Assignment using Genetic, Non-Genetic or Integrated
Data in a Machine Learning Framework

read.Genepop function

<dl><dt>x</dt>
<dd>GENEPOP file or path to the file. The filename extension (e.g., .txt) should be included.</dd>
<dt>pop.names</dt>
<dd>A character string vector for population names. The order of the name should be the same with the order (top to down) in your GENEPOP file.</dd>
<dt>haploid</dt>
<dd>A logical variable (TRUE or FALSE) to specify whether your dataset is haploid data. Default is FALSE.</dd>
<dt>pos</dt>
<dd>A parameter for program development use; users can ignore it.</dd></dl>

Arguments

Read GENEPOP format file — read.Genepop

<dl>

<dt>x</dt>
<dd>GENEPOP file or path to the file. The filename extension (e.g., .txt) should be included.</dd>


<dt>pop.names</dt>
<dd>A character string vector for population names. The order of the name should be the same with the order (top to down) in your GENEPOP file.</dd>


<dt>haploid</dt>
<dd>A logical variable (TRUE or FALSE) to specify whether your dataset is haploid data. Default is FALSE.</dd>


<dt>pos</dt>
<dd>A parameter for program development use; users can ignore it.</dd>

</dl>

read.Genepop: Read GENEPOP format file

Description

Usage

Value

Arguments

References

Examples