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<p class="MsoNormal">Hi Thibault,<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">I am trying to use the pred.sup function to assign ‘test’ individuals against my baseline data. Both baseline and supplementary individuals files load fine in adegenet but when I run the pred.sup function I get the following:<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><span style="color:red">Error in predict.dapc(dapc1, newdata=sup):<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:red"> Number of variables in newdata does not match original data.</span><o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Looking at the dataframes, the baseline says it’s a matrix of 1800 x 70 (which I expect), however the supplementary says 69 for the latter(?). I have found that when interrogating @loc.fac for the supplementary file, locus27 is only listed
once, while all others are listed 2x. Perhaps a coincidence but this locus is the only one that is monomorphic in the supplementary individuals but it is polymorphic in the baseline – would this have any effect?<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Suggestions?<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Thanks,<o:p></o:p></p>
<p class="MsoNormal">Mark<o:p></o:p></p>
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Inverness College UHI, a partner in the University of the Highlands and Islands www.inverness.uhi.ac.uk Board of Management of Inverness College (known as Inverness College UHI), Scottish Charity No SC021197.
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