Christy,

Yes, the ‘slopes’ component of the output contains the regression parameters 
for each species. These can then be used as input for ancestral state 
estimation and other down-stream analyses that you have planned.

Dean

Dr. Dean C. Adams
Professor
Department of Ecology, Evolution, and Organismal Biology
       Department of Statistics
Iowa State University
www.public.iastate.edu/~dcadams/<http://www.public.iastate.edu/~dcadams/>
phone: 515-294-3834

From: Christy Hipsley [mailto:chips...@museum.vic.gov.au]
Sent: Tuesday, September 6, 2016 2:00 AM
To: MORPHMET <morphmet@morphometrics.org>
Cc: damien.esque...@anu.edu.au
Subject: [MORPHMET] Re: allometry and phylogeny

To follow up on Damien's question and Dean's response, which values from the 
advanced.procD.lm results would one use for reconstructing species ontogenetic 
slopes? There are several outputs relating to slope from that test, like 
"slopes",  "slope.lengths", "slopes.dist", "slopes.angles".

I understand these each describe different parameters of the slope vector like 
length and orientation - basically magnitude and direction of shape change per 
unit size. So should one reconstruct ancestral states of each of these each 
separately to compare with tip taxa?

Thanks for any advice,
Christy

On Friday, July 1, 2016 at 12:31:37 AM UTC+10, dcadams wrote:
Damien,

Yes, one can take the regression parameters for each species and use these as 
‘tips’ data to obtain ancestral estimates of the regression slope. In this 
case, the species’ data is the multivariate set of slope coefficients for each 
multivariate regression. Thus, the ancestral state of the allometry is also a 
multivariate set of parameters.

Since you are using geomorph the slopes for each species’ allometry trajectory 
may be found in the output list from advanced.procD.lm.

Best,

Dean


Dr. Dean C. Adams
Professor
Department of Ecology, Evolution, and Organismal Biology
       Department of Statistics
Iowa State University
www.public.iastate.edu/~dcadams/<http://www.public.iastate.edu/~dcadams/>
phone: 515-294-3834

From: Damien Esquerre Gheur [mailto:damien....@anu.edu.au<javascript:>]
Sent: Thursday, June 30, 2016 6:50 AM
To: morp...@morphometrics.org<javascript:>
Subject: [MORPHMET] allometry and phylogeny


Dear morphometricians,



I have a pretty big dataset of specimens for most species of pythons 
encompassing most of the size range for every species. I have been projecting 
the allometric trajectories and doing pairwise slope comparisons and things 
like that in Geomorph. However, it seems very obvious that the is a very strong 
phylogenetic signal in the data, as species within the same clade tend to have 
parallel trajectories.

I have been trying to find a way to analyse this data in a phylogenetic 
framework, and so far I know there is no straightforward solution. I know in 
Adams and Nistri 2010 the trajectories where coded ad isometric and allometric 
and then reconstructed the ancestral states but the case it not so binary with 
my data.

Would there be a way, for example, to extract a value for the slope and do an 
ancestral state reconstruction on that? Also, is there a way to incorporate 
phylogeny in slope comparison models?

Any help would be greatly appreciated


Damien Esquerré
PhD Student, Keogh Lab
Division of Evolution, Ecology and Genetics, Research School of Biology
The Australian National University
44 Daley Road, ACTON ACT 2601, Australia

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