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.
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
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
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