<div dir="ltr">Hi again, <div><br></div><div>the annoying answer is: yes, and no. Several options you can explore:</div><div><br></div><div>1. extract tables using 'tab', cbind them, and run the analysis on the new table: caveat: the table with the larger variance (typically the largest one) will have a stronger weight in the analysis</div><div><br></div><div>2. do the above, but standardize the two tables before binding them, e.g. by dividing them by the total inertia (sum of all variances)</div><div><br></div><div>3. before going for a single analysis, run separate analyses and look for common structures using a coinertia. See ?ade4::cointertia for more information.</div><div><br></div><div>Best</div><div>Thibaut</div><div><br></div><div><br></div><div><br></div><div> </div></div><div class="gmail_extra"><br clear="all"><div><div class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div><div><div><br>--<br>Dr Thibaut Jombart</div><div style="font-size:small">Lecturer, Department of Infectious Disease Epidemiology, Imperial College London</div></div><div><span style="font-size:12.8px">Head of RECON: </span><span style="font-size:12.8px"><a href="http://repidemicsconsortium.org" target="_blank">repidemicsconsortium.org</a></span><br></div></div><div><a href="http://sites.google.com/site/thibautjombart/" style="font-size:12.8px" target="_blank">sites.google.com/site/thibautjombart/</a><br></div><div><a href="http://github.com/thibautjombart" target="_blank">github.com/thibautjombart</a></div>Twitter: <a href="http://twitter.com/TeebzR" target="_blank">@TeebzR</a><br></div><div dir="ltr">+44(0)20 7594 3658</div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>
<br><div class="gmail_quote">On 24 April 2017 at 13:10, Adrien Rieux <span dir="ltr"><<a href="mailto:adrien.rieux@cirad.fr" target="_blank">adrien.rieux@cirad.fr</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
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<p class="MsoNormal"><font face="Calibri"><span lang="EN-GB">Hi there,<u></u><u></u></span></font></p>
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<p class="MsoNormal"><font face="Calibri"><span lang="EN-GB"><u></u> <u></u></span></font></p>
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<p class="MsoNormal"><font face="Calibri"><span lang="EN-GB">Is there a
way to combine microsatellite and SNP data in a single DAPC ?
I do observe
striking difference in the genetic structure independently
measured by both
type of markers and I’d be keen, if possible, to see what I
get when both information
are combined. I should tell that I only have SNP data for a
subset of the
samples that were genotyped with microsatellites.<u></u><u></u></span></font></p>
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<p class="MsoNormal"><font face="Calibri"><span lang="EN-GB"><u></u> <u></u></span></font></p>
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<p class="MsoNormal"><font face="Calibri"><span lang="EN-GB">Cheers,<span class="HOEnZb"><font color="#888888"><u></u><u></u></font></span></span></font></p><span class="HOEnZb"><font color="#888888">
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<p class="MsoNormal"><font face="Calibri"><span lang="EN-GB"><u></u> <u></u></span></font></p>
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<p class="MsoNormal"><span lang="EN-GB"><font face="Calibri">Adrien</font><u></u><u></u></span></p>
<pre class="m_-3433849636997512907moz-signature" cols="72">--
Adrien RIEUX
CIRAD - Dpt BIOS - UMR PVBMT
Tel: 0262499219
<a class="m_-3433849636997512907moz-txt-link-freetext" href="https://adrienrieux.wordpress.com/home/" target="_blank">https://adrienrieux.wordpress.<wbr>com/home/</a></pre>
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