Dear Morphmet community,

I'm working with a big GM data set of 92 species and would like to 
statistically compare levels of static, evolutionary, and ontogenetic allometry 
to assess levels of constraint in phenotypic development. 

For static and evolutionary allometry, I have regressions (shape on size for 
species) and size-corrected PCAs. I am wondering what is the best way to 
directly compare those in a statistical framework. I originally compared PC 
axes between the two data sets using the "Compare Vector Directions" option in 
MorphoJ, but this seems a bit complicated. Is a simple ANCOVA between the 2 
regressions appropriate? They are at least by eye nearly identical.

I also have regressions for growth series of 21 of those species, but I'm not 
sure how those could be directly compared to static or evolutionary allometry. 
If I do a regression of shape on size for that data set, pooled by species, the 
R2 is slightly higher, which I expect since it is sampling over the entire 
postnatal development (from hatchling to adult). However there is a strong 
trend for some of the species to be significantly down-shifted along the 
y-axis, although the slopes remain statistically the same (tested using MANCOVA 
in GeoMorph).

Thanks for any advice on how to compare these levels or if it even makes sense 
to compare ontogenetic allometry to either of the others.

Christy 
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Christy Anna Hipsley
University of Melbourne/Melbourne Museum 

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