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<div><font size="2">Hi Irina, <br>
<br>
I am not sure I understand what you are after, so sorry if I miss the point. If you want to represent a different group to the one used in the DAPC analysis on the DAPC scatterplot, use the argument 'grp'; from ?scatter.dapc:<br>
<br>
grp: a factor defining group membership for the individuals. The<br>
scatterplot is optimal only for the default group, i.e. the<br>
one used in the DAPC analysis.<br>
<br>
Cheers<br>
Thibaut<br>
<br>
<br>
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<div style="direction: ltr;" id="divRpF516353"><font size="2" color="#000000" face="Tahoma"><b>From:</b> adegenet-forum-bounces@lists.r-forge.r-project.org [adegenet-forum-bounces@lists.r-forge.r-project.org] on behalf of Irina Ilyushkina [Irina.Ilyushkina@vuw.ac.nz]<br>
<b>Sent:</b> 23 February 2015 04:41<br>
<b>To:</b> adegenet-forum@lists.r-forge.r-project.org<br>
<b>Subject:</b> [adegenet-forum] scatter plot problem<br>
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Hi,
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<div>I'm new to R and would be extremely grateful if someone could help me with my problem. I need to indicate (with labels, with color, etc.) the original group assignment of every individual in the DAPC inferred clusters on the scatter plot. table.value(table(pop(x),
grp$grp) is showing the type of plot I'm after but it's a bit confusing when you have to consider two plots at the same time so I'm looking for a way to combine both in one plot if it is possible.</div>
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<div>Many thanks,<br>
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<div>Irina</div>
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