Re: [MORPHMET] Interpreting PCA results

I agree with Jim. However, this discussion does beg the question of what the status of landmark, semilandmark, or indeed pixel brightness configurations within multivariate spaces is? Very similar spaces have been used in the area of theoretical morphology to conduct various sorts of

RE: [MORPHMET] Interpreting PCA results

What is important is not the fact that one is going +/- one standard deviation along each axis. When shape changes are subtle one may need to go beyond the observed range to make it more obvious to the eye what the changes are. Exactly how far one goes away from the mean is arbitrary. It is a

Re: [MORPHMET] Interpreting PCA results

yeah, your inference makes absolute sense.Thanks for the quick response, Carmelo. On Mon, May 15, 2017 at 12:10 PM, Carmelo Fruciano wrote: > Dear Mahediran, > > to my understanding from David's phrasing, it is just a way to visualize > shape variation along a given PC axis

Re: [MORPHMET] Interpreting PCA results

Dear Mahediran, to my understanding from David's phrasing, it is just a way to visualize shape variation along a given PC axis (as the value at 0 is the mean). One could use some other criterion (for instance the maximum and minimum scores along that given PC). But, of course, all the other

RE: [MORPHMET] Interpreting PCA results

Dear all, I read interesting comments and the attached manuscript as well. I find David question us interesting. If any one could answer David question in a simple way? I am quoting his question below?. "What I do not quite understand is what exactly is the purpose of applying standard