Morphomet mailing list, I am doing a longitudinal analysis of shape change (how shape of changes over time) and I have some questions.
Is a PCA a good option for analyzing shape change over time? All the "shapes" in my sample have 30 landmarks a piece and are aligned via GPA. Would I still be able to adequately analyze the how shape is changing over time with reduced dimensionality? Can PCs be directly comparable between time points? As I understand it, PCA performed within each time point can reduce the dimensionality of the data for each time point independently, but does not guarantee that the underlying data would be captured in each PC. Thank your for your time and consideration, Seth Boren -- You received this message because you are subscribed to the Google Groups "Morphmet" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/morphmet2/2c624bf9-772a-4346-b541-a08c99fcc901n%40googlegroups.com.
