regdist: correlation between shape space and tangent space
Description
performs a partial Procrustes superimposition of landmark data and
calculates the correlation between tangent and shape space.
Usage
regdist(dataarray, plot = TRUE, main = "", rho = "angle",
dist.mat.out = FALSE)
Arguments
dataarray
Input k x m x n real array, where k is the number of
points, m is the number of dimensions, and n is the sample size.
plot
Logical: whether to plot the distances between observations.
main
character string: Title of the plot.
rho
chose how to calculate distances in shape space. Options:
"riemdist"=Riemannian distance (function from the shapes package-takes along
time to calculate), "angle"=calculates the angle between shape vectors,
"sindist"=sinus of length of residual vector between shape vectors.
dist.mat.out
Logical: If TRUE, output will contain distance matrices.
Value
cor correlation coefficient between distances in shape space and
tangent space
procSS Procrustes Sums of Squares (of full procrustes distance)
tanSS Tangent Sums of Squares
rhoSS Procrustes Sums of Squares (of angle)
euc.dist distance matrix of euclidean distance in Tangent space
proc.dist distance matrix of Procrustes distance in Shape space
Examples
Run this code# NOT RUN {
if (require(shapes)) {
regdist(gorf.dat)
}
# }
Run the code above in your browser using DataLab