<html xmlns:o="urn:schemas-microsoft-com:office:office" xmlns:w="urn:schemas-microsoft-com:office:word" xmlns:m="http://schemas.microsoft.com/office/2004/12/omml" xmlns="http://www.w3.org/TR/REC-html40">
<head>
<meta http-equiv="Content-Type" content="text/html; charset=us-ascii">
<meta name="Generator" content="Microsoft Word 15 (filtered medium)">
<style><!--
/* Font Definitions */
@font-face
{font-family:"Cambria Math";
panose-1:2 4 5 3 5 4 6 3 2 4;}
@font-face
{font-family:Calibri;
panose-1:2 15 5 2 2 2 4 3 2 4;}
/* Style Definitions */
p.MsoNormal, li.MsoNormal, div.MsoNormal
{margin:0in;
margin-bottom:.0001pt;
font-size:11.0pt;
font-family:"Calibri",sans-serif;}
a:link, span.MsoHyperlink
{mso-style-priority:99;
color:#0563C1;
text-decoration:underline;}
a:visited, span.MsoHyperlinkFollowed
{mso-style-priority:99;
color:#954F72;
text-decoration:underline;}
.MsoChpDefault
{mso-style-type:export-only;}
@page WordSection1
{size:8.5in 11.0in;
margin:1.0in 1.0in 1.0in 1.0in;}
div.WordSection1
{page:WordSection1;}
--></style>
</head>
<body lang="EN-US" link="#0563C1" vlink="#954F72">
<div class="WordSection1">
<p class="MsoNormal">Hi all,</p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">I have researched this on the forum but was not successful in finding help, so I apologize in advance if this has been addressed already.</p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">In this tutorial (<a href="https://grunwaldlab.github.io/Population_Genetics_in_R/DAPC.html">https://grunwaldlab.github.io/Population_Genetics_in_R/DAPC.html</a>) it says that adegenet cannot be scripted a priori, but my data has 6Gb and
takes a very long time to generate the DAPC object. So I have to submit it as a script to the university cluster. I get the plot of variance explained by PC but then everything halts because I do not provide the number of PCs to be retained for continuing
the analysis. Is there a way around this? How does anyone handle large datasets?</p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Thank you in advance,</p>
<p class="MsoNormal">Rachel</p>
</div>
</body>
</html>