----- Forwarded message from Dean Adams <[email protected]> -----

     Date: Wed, 17 Apr 2013 10:05:56 -0400
      From: Dean Adams <[email protected]>
      Reply-To: Dean Adams <[email protected]>
      Subject: Re: calculating phylogenetic signal in EFA data
      To: [email protected]

Ryan,

Conceptually, the K&G method should be applicable to EFA coefficients, 
or any multi-dimensional dataset for that matter. The procedure can be 
slow because to implement it one must first estimate the ancestral 
states, which can take some time in R.  This must be done for the 
observed data, and for each iteration of the permutation test, where 
species data are shuffled on the tips of the phylogeny, and the process 
is repeated. 

Dean

-- 
Dr. Dean C. Adams
Professor
Department of Ecology, Evolution, and Organismal Biology
Department of Statistics
Iowa State University
Ames, Iowa
50011
www.public.iastate.edu/~dcadams/
phone: 515-294-3834

On 4/16/2013 9:11 PM, [email protected] wrote:
> ----- Forwarded message from Ryan Felice <[email protected]> -----
>
>       Date: Mon, 15 Apr 2013 10:04:53 -0400
>        From: Ryan Felice <[email protected]>
>        Reply-To: Ryan Felice <[email protected]>
>        Subject: calculating phylogenetic signal in EFA data
>        To: [email protected]
>
> Hello-
>
> I am using EFA to quantify shape, and I want to measure phylogenetic
> signal in this data. I think the best way to do this is using the
> permutation test described by Klingenberg, and Gidaszewski (2010) and
> implemented as the "physignal" function in the {geomorph} package in
> R. By tweaking the code for "physignal" a little bit, I have managed
> to get the function to run with my EFA data and return a result,
> although it goes quite slowly. Is there any reason that this method,
> which was developed for landmark data, should not be used with other
> types of multidimensional data?
>
> Cheers,
>
> Ryan Felice
> PhD Candidate
> Ohio University Department of Biological Sciences
> 107 Irvine Hall
> Athens, OH 45701
> www.rnfelice.com
> [email protected]
> (201)981-8642
>
> ----- End forwarded message -----
>

----- End forwarded message -----

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