shapes.cva: Canonical variate analysis for shapes

In shapes: Statistical Shape Analysis

Canonical variate analysis for shapes

Description

Carry out canonical variate analysis for shapes (in two or more groups)

Usage

shapes.cva(X,groups,scale=TRUE,tangentcoords = "residual",ncv=2)

Arguments

X	Input k x m x n real array of the configurations, where k is the number of points, m is the number of dimensions, and n is the sample size.
groups	The group labels
scale	Logical, indicating if Procrustes scaling should be carried out
tangentcoords	The type of Procrustes tangent coordinates to use (as for procGPA)
ncv	Number of canonical variates to display

Value

A plot if ncv=2 or 3 and the Canonical Variate Scores

Author(s)

Ian Dryden

References

Dryden, I.L. and Mardia, K.V. (2016). Statistical Shape Analysis, with Applications in R (Second Edition). Wiley, Chichester.

See Also

procGPA

Examples

#2D example : female and male apes   (cf. Dryden and Mardia, 2016)

data(pongof.dat)
data(pongom.dat) 
data(panm.dat)
data(panf.dat)

apes   <- groupstack( pongof.dat , pongom.dat , panm.dat, panf.dat )

shapes.cva( apes$x, apes$groups) 

shapes documentation built on Feb. 16, 2023, 8:16 p.m.