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<p style="font-size:11pt; font-family:Calibri,sans-serif; margin:0"><a><span style="color:black">Hello everyone,</span></a></p>
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<span style="color:black; font-family:Symbol"><span>·<span style="font-size:7pt; font-family:Times New Roman">
</span></span></span><span style="color:black">Based on DAPC analysis, I am not sure whether I should treat the final group for individuals line as 1) prior group from find.clusters() or
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<span style="color:black"> 2) group with maximum posterior probability after xval.DAPC()</span></p>
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<span style="color:black">As in scatterplot from DAPC analysis individuals are plotted based on prior group. Please advise if there a way to choose optimum number of discriminating functions to be used.</span></p>
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<p style="font-size:11pt; font-family:Calibri,sans-serif; margin:0"><span style="color:black">Regards,</span></p>
<p style="font-size:11pt; font-family:Calibri,sans-serif; margin:0"><span style="color:black">Roma</span><span style="color:black"></span></p>
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