dotcvm: Calculate 2d or 3D covariance matrix using unscaled...

Description Usage Arguments Details Value Examples

View source: R/cvm.R

Description

Calculate 2D or 3D covariance matrix using unscaled congruence coefficient. Skips any missing values in computation of covariance matrix

Usage

1
dotcvm(A)

Arguments

A

An N x D x M array where N is the number of landmarks, D is the number of dimensions (2 or 3), and M is the number of specimens.

Details

This function does not guarantee that the returned matrix is positive definite. If the covariance matrix is not positive definite a warning is given and the matrix can be bent to create the closest positive definite matrix with as.matrix(Matrix::nearPD(mat)$mat).

Value

N x N covariance matrix

Examples

1
2
A <- array(rnorm(4 * 2 * 3), dim = c(2, 3, 4)) 
A.cvm <- dotcvm(A)

paleomorph documentation built on May 30, 2017, 12:38 a.m.