sample_data

internal

Construction of genetic maps in autopolyploid full-sib populations.
Uses pairwise recombination fraction estimation as the first
source of information to sequentially position allelic variants
in specific homologous chromosomes. For situations where pairwise
analysis has limited power, the algorithm relies on the multilocus
likelihood obtained through a hidden Markov model (HMM).
For more detail, please see Mollinari and Garcia (2019)
<doi:10.1534/g3.119.400378> and Mollinari et al. (2020)
<doi:10.1534/g3.119.400620>.

Marcelo Mollinari

mappoly

Genetic Linkage Maps in Autopolyploids

Gabriel Gesteira

Cristiane Taniguti

Jeekin Lau

Oscar Riera-Lizarazu

Guilhereme Pereira

Augusto Garcia

Zhao-Bang Zeng

Katharine Preedy

Robert Gentleman

Ross Ihaka

R Foundation 

R-core 

sample_data function

<dl><dt>input.data</dt>
<dd>an object of class <code>mappoly.data</code></dd>
<dt>n</dt>
<dd>number of individuals or markers to be sampled</dd>
<dt>percentage</dt>
<dd>if <code>n == NULL</code>, the percentage of individuals or markers to be sampled</dd>
<dt>type</dt>
<dd>should sample individuals or markers?</dd>
<dt>selected.ind</dt>
<dd>a vector containing the name of the individuals to select. Only has effect 
if <code>type = "individual"</code>, <code>n = NULL</code> and <code>percentage = NULL</code></dd>
<dt>selected.mrk</dt>
<dd>a vector containing the name of the markers to select. Only has effect 
if <code>type = "marker"</code>, <code>n = NULL</code> and <code>percentage = NULL</code></dd></dl>

Arguments

Random sampling of dataset — sample_data

<dl>

<dt>input.data</dt>
<dd>an object of class <code>mappoly.data</code></dd>


<dt>n</dt>
<dd>number of individuals or markers to be sampled</dd>


<dt>percentage</dt>
<dd>if <code>n == NULL</code>, the percentage of individuals or markers to be sampled</dd>


<dt>type</dt>
<dd>should sample individuals or markers?</dd>


<dt>selected.ind</dt>
<dd>a vector containing the name of the individuals to select. Only has effect 
if <code>type = "individual"</code>, <code>n = NULL</code> and <code>percentage = NULL</code></dd>


<dt>selected.mrk</dt>
<dd>a vector containing the name of the markers to select. Only has effect 
if <code>type = "marker"</code>, <code>n = NULL</code> and <code>percentage = NULL</code></dd>

</dl>

Random sampling of dataset

sample_data: Random sampling of dataset

Description

Usage

Value

Arguments