get.pc

<code>get.pc</code> returns a data frame such that each row contains the index of
the genetic marker and the principal component the most correlated with it.

Methods to detect genetic markers involved in biological
adaptation. 'pcadapt' provides statistical tools for outlier detection based on
Principal Component Analysis. Implements the method described in (Luu, 2016)
<DOI:10.1111/1755-0998.12592> and later revised in (Privé, 2020)
<DOI:10.1093/molbev/msaa053>.

Florian Privé

pcadapt

Fast Principal Component Analysis for Outlier Detection

Keurcien Luu

Michael Blum

Eric Bazin

Nicolas Duforet-Frebourg

get.pc function

<dl><dt>x</dt>
<dd>an object of class `pcadapt`.</dd>
<dt>list</dt>
<dd>a list of integers corresponding to the indices of the markers of interest.</dd></dl>

Arguments

Get the principal component the most associated with a genetic marker — get.pc

<dl>

<dt>x</dt>
<dd>an object of class `pcadapt`.</dd>


<dt>list</dt>
<dd>a list of integers corresponding to the indices of the markers of interest.</dd>

</dl>

get.pc: Get the principal component the most associated with a genetic marker

Description

Usage

Arguments