Hi Miguel,
thanks for sending me the example files. You can use the existing functions
embedded in Arothron:
library(Arothron)
land.set<-"landmarksfromAvizo"
set<-read.amira.set(land.set,"auto") #this is an array
bspline<-"bsplinefromAvizo"
set_2<-read.amira.set(bspline,"auto") #this is an array
I want to compare skull morphology using geometric morphometrics from several
species with different diets in a same genus. But I don't know much about how
to analyze these shape data. What statistical analysis can I do? I know that
principal component analysis can be done to visualize shape var
With reference to the Yang Chang skull group query:
I am a devotee of Analysis of Dispersion combined with Factorial Design of CR
Rao (1965).
The model is Y = XB
Y is a n by 3k+c matrix of n rows of k xyz coordinates plus c covariates such
as size and weight covariates.
X is a n by p design
Dear Antonio,
Thank you very much for your functions. All of them work very well. I
realized that a simple modification of the function read.landmarks from the
nat package allows load into the R console Avizo Landmarks in ascii format
but not semilandmark curves. Again thanks for your kind help.