feat_sample

Creates a feature that represents the sampling from one population

internal

Coalescent simulators can rapidly simulate biological sequences
evolving according to a given model of evolution.
You can use this package to specify such models, to conduct the simulations
and to calculate additional statistics from the results (Staab, Metzler,
2016 <doi:10.1093/bioinformatics/btw098>).
It relies on existing simulators for doing the simulation, and currently
supports the programs 'ms', 'msms' and 'scrm'. It also supports finite-sites
mutation models by combining the simulators with the program 'seq-gen'.
Coala provides functions for calculating certain summary statistics, which
can also be applied to actual biological data.
One possibility to import data is through the 'PopGenome' package
(<https://github.com/pievos101/PopGenome>).

Dirk Metzler

coala

A Framework for Coalescent Simulation

Paul Staab

Jorge E. Amaya Romero

feat_sample function

<dl><dt>individuals</dt>
<dd>The number of individuals that are sampled per population,
given as a numeric vector.</dd>
<dt>ploidy</dt>
<dd>The number of chromosomes that will be simulated per
individual.</dd>
<dt>time</dt>
<dd>The time at which the sample is taken.</dd></dl>

Arguments

Creates a feature that represents the sampling from one population — feat_sample

<dl>

<dt>individuals</dt>
<dd>The number of individuals that are sampled per population,
given as a numeric vector.</dd>


<dt>ploidy</dt>
<dd>The number of chromosomes that will be simulated per
individual.</dd>


<dt>time</dt>
<dd>The time at which the sample is taken.</dd>

</dl>

feat_sample: Creates a feature that represents the sampling from one population

Description

Usage

Arguments