I got a dataset with for example wings, consisting of 16 landmarks. Is there a way to get an estimator similar to a Qst, which I then could compare to an Fst?
I can do this for principal components, but then I only have a part of the variation taken to account. I also read about procrustes distance which is with out direction and therefore also not very useful.
One way I could imagine is somehow standardizing Qst values taken from all of the PCs and then average them, but how would I do that correctly (does it even make sense?)
Hi Julian, I hope I get to answer your question.
If you want to get the Qst for shape and size of the wing, then you can use the program CLIC. This might help you
http://mome-clic.com/
Hey Thaddeus,
Thank you for the answer. But I am more looking for a mathematical way to get the Qst, I can do it for each principal component (similar to warp scores) but not over the whole shape. I aquired the landmarks using the TPS programs and did procrustes and PCA in R. I am not sure if there even is a way to do this for global shape variation...
I know the CLIC program has both QsT for each PC and shows the global shape variation of all the PCs.
This article might help you in getting the overall QsT.
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