[adegenet-forum] POV in DAPC

[Thibaut Jombart]

Hi there,

These values are in general percentage of inertia, which in the case of the
PCA is a variance, and in the case of the DAPC is the ratio variance
between / total variance (ie F statistic).

Best
Thibaut


--
Dr Thibaut Jombart
Lecturer, Department of Infectious Disease Epidemiology, Imperial College
London
Head of RECON: repidemicsconsortium.org
WHO Consultant - outbreak analysis
https://thibautjombart.netlify.com
Twitter: @TeebzR
+44(0)20 7594 3658

On 13 December 2017 at 13:08, Andrew Veale <andrew.j.veale at gmail.com> wrote:

> Hey!
>
> I have been asked to add the percentage of variance explained by each axis
> in the DAPC scatter plot.  I’m not sure how best to do this, and I think it
> isn’t the most meaningful thing to do as it isn’t a straight PCA.  The POV
> of a PCA is fine, and I can see how to get the Eigen-values for each PC
> retained - just not the then combined ones for the DAPC.
>
> Any thoughts on this?
>
> Thanks!
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