Ari,

If you are using geomorph, you might want to update it via GitHub.  Just a few 
days ago we updated the software with some bug fixes for surface points (one 
bug fix was for assuring non-arbitrary directions in PC planes for tangents of 
surface points).  If you are unsure how to do that, look at the post by Dean 
Adams on 15 February 2016.

Beyond that, you are asking for assistance without defining (1) how you are 
sliding your landmarks (minimizing Procrustes Distance or Bending Energy) or 
(2) other specifics that might be important (package within R, maybe other 
inputs that might be important, such as the relative numbers of fixed landmarks 
and semilandmarks, etc.).

Contrary to your logic, subsetting your sample could have an effect.  Your mean 
configuration would change in each of the subsamples, from the mean of your 
original sample, thus changing the reference configuration used in the separate 
GPAs performed.  The reference configuration has a prominent role in the 
sliding of landmarks.

With the information you provided, t is not possible to discern among user 
error, program error, or analytical artifact.

Mike

Michael Collyer

Associate Professor
Biostatistics
Department of Biology
Western Kentucky University
1906 College Heights Blvd. #11080
Bowling Green, KY 42101-1080
Phone: 270-745-8765; Fax: 270-745-6856
Email: [email protected]<mailto:[email protected]>

On Feb 18, 2016, at 9:43 AM, Ariadne Schulz 
<[email protected]<mailto:[email protected]>> wrote:

Hello all,

I'm having a bit of a semilandmark problem. I'm working on 3D surfaces with 
semilandmarks. (Profuse thank yous to Emma for writing the scripts for that.) 
The issue I'm having I think is occurring in the sliding. When I do populations 
alone everything seems normal. The semilandmarks do not appear to be going off 
the surface defined for them, but if I try to do more than one population at 
once several of the semilandmarks slide off the surface so my PCs get rather 
distorted. Based on the few individuals from different populations I've looked 
at I think I do have interpopulation variation but I wouldn't expect that to 
influence the sliding of semilandmarks. Has anyone else encountered an issue 
like this with either 2D or 3D semilandmarks? As with all things R I expect the 
answer will be something like me omitting a comma somewhere so any suggestions 
you might have are welcome.

Best,
Ari

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