I have been reading up on MANOVA and come across the common complication
requiring a large number of degrees of freedom. After performing Procrustes
superimpositions on my landmark configurations, along with my small sample
sizes, is not allowing me to perform MANOVA tests.
I have read that
Note: to give statistically reliable results it needs to do more than just
“culls the dimensions of x to match the number of positive non-zero
eigenvalues”. You need to have the number of degrees of freedom much larger
than the number of dimensions of the space or else you are likely to find
Apology for the confusion. I had intended that one could use randomization
tests for Procrustes residuals rather than obtaining PC scores, and various
functions in R will allow this, even if the number of shape variables exceeds
the number of subjects.
I just checked, and prcomp will
Brenna,
The PCA you performed produces a list of objects, one of which is a matrix of
PC scores.
Change AIS.PC to AISPC$x, and it should work. In this case, $x is the matrix
of scores.
The help files for the functions you use tell you the objects that are
returned. You can also use
Hey guys,
I have performed a Procrustes ANOVA to look at the error values for my
landmarks in MorphoJ but I don't really understand the values the results
are giving me, the readout it:
Procrustes ANOVA: Procrustes ANOVA ...
Dataset: Porose errors 2
Classifiers used for the Procrustes ANOVA:
