[adegenet-forum] Prior and Posterior membership in Scatter plot DAPC

[Zhian Kamvar]

Hello,

The scatter plot can only show 2 discriminant axes at a time and you can change them with the xax and yax arguments. 

The posterior is calculated over ALL axes retained and you can visualize it with the compoplot function.

Best,
Zhian


> Date: Tue, 21 Apr 2020 14:14:44 +0000
> From: "Das, Roma (ICRISAT-IN)" <r.das at cgiar.org>
> To: "adegenet-forum at lists.r-forge.r-project.org"
> 	<adegenet-forum at lists.r-forge.r-project.org>
> Subject: [adegenet-forum] Prior and Posterior membership in Scatter
> 	plot DAPC
> Message-ID:
> 	<DB6P195MB0421EE55EDA7EBA9D7ED0E50FAD50 at DB6P195MB0421.EURP195.PROD.OUTLOOK.COM>
> 	
> Content-Type: text/plain; charset="utf-8"
> 
> Hello everyone,
> Please help me to understand the difference in scatter plot if I use n.da=2 and n.da=4 in dapc() function. I believe since scatter plot in 2D, we see same scatter plot regardless of number of discriminant function used.
> 
> There is difference in posterior membership probabilities, however in scatter plot, individual are grouped only based on prior group information. How can we use to interpret individual based on posterior membership probability.
> 
> Thanks and regards,
> Roma
> 
> 
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