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
mess...@gmail.com>
Subject: 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
>>
>> & Research Professor. Dept. of Anthropology
>>
>> Stony Brook University 11794-4364
>>
>> WWW: http://life.bio.sunysb.edu/morph/rohlf
>>
>> P Please consider the environment before printing this email
>>
>>
>>
>
unday, May 14, 2017 7:28 PM
*To:* dsbriss_dmd <orthofl...@gmail.com <mailto:orthofl...@gmail.com>>
*Cc:* MORPHMET <morphmet@morphometrics.org
<mailto:morphmet@morphometrics.org>>
*Subject:* Re: [MORPHMET] Interpreting PCA results
Dear David,
Grea
t:* Sunday, May 14, 2017 7:28 PM
> *To:* dsbriss_dmd <orthofl...@gmail.com>
> *Cc:* MORPHMET <morphmet@morphometrics.org>
> *Subject:* Re: [MORPHMET] Interpreting PCA results
>
>
>
> Dear David,
>
> Great question! I disagree with the statement that the sam
HMET <morphmet@morphometrics.org>
Subject: Re: [MORPHMET] Interpreting PCA results
Dear David,
Great question! I disagree with the statement that the samples' variance in
shape space is not biologically real or, perhaps more accurately, is less real
than the variance in any other spa
Dear David,
Great question! I disagree with the statement that the samples' variance
in shape space is not biologically real or, perhaps more accurately, is
less real than the variance in any other space. As far as I see it, the
basic strategy in any biostatistical study, be it GM or otherwise,
Good afternoon all, I have a question about interpretation of PCs. I have
come across several articles in orthodontic literature having to do with
morphometric analysis of sagittal cephalograms that discuss warping a
Procrustes analysis along a principal component axis. Essentially the