Sarah,

As far as I am aware, MorphoJ estimates a set of PICs one dimension at a time. 
Thus, for a multivariate dataset of N species and p-trait dimensions, this will 
return a matrix of N-1 by p.  Here, each of the N-1 rows (nodes of the 
bifurcating tree) contains a vector of PICs, one per trait dimension.  This 
approach is simple to replicate in R: just use the pic function and loop across 
trait dimensions. 

Note that this differs from McPeek's formulation of multivariate independent 
contrasts (see e.g., McPeek et al. 2008: Am. Nat.). For this approach, 
differences in each of the p-dimensions of data are combined in the numerator 
of his equation, resulting in a a single PIC for each of the N-1 nodes. As you 
mentioned, these are equivalent to the Euclidean distance between taxa 
standardized by branch lengths. 

While the math of McPeek's procedure is simple enough, I am unaware of a 
function in R that estimates these directly. I also do not believe these are 
found in MorphoJ, but someone who uses that program could better respond to 
that query.

Hope this helps.

Dean

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


-----Original Message-----
From: Sarah Friedman <sarahtfr...@gmail.com> 
Sent: Monday, March 19, 2018 2:24 PM
To: MORPHMET <morphmet@morphometrics.org>
Subject: [MORPHMET] Multivariate PICs?

Hi all,

Primarily, I'm wondering if there is a way to calculate phylogenetic 
independent contrasts on multivariate shape data in R. However if no R method 
exists, I know a method to do this is implemented in MorphoJ, and I could 
possibly code an analogous method in R but I'm unsure how the contrasts are 
calculated. Does anybody know if the independent contrasts are calculated using 
the method described in McPeek (1994), the Euclidean distances between 
contrasts on each branch, or another method? 

Thanks,
Sarah

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