Learn R Programming

vcvComp (version 1.0.2)

Comparison of Variance - Covariance Patterns

Description

Comparison of variance - covariance patterns using relative principal component analysis (relative eigenanalysis), as described in Le Maitre and Mitteroecker (2019) . Also provides functions to compute group covariance matrices, distance matrices, and perform proportionality tests. A worked sample on the body shape of cichlid fishes is included, based on the dataset from Kerschbaumer et al. (2013) .

Copy Link

Version

Install

install.packages('vcvComp')

Monthly Downloads

132

Version

1.0.2

License

GPL-3

Maintainer

Anne Le Maitre

Last Published

December 17th, 2020

Functions in vcvComp (1.0.2)

cov.W

Within-group covariance matrix
Tropheus

Tropheus dataset
cov.group

Group covariance matrices
euclidean.dist

Euclidean distance between two covariance matrices
pr.coord

Principal coordinates ordination
Tropheus.IK.coord

Tropheus IK coord dataset
mat.sq.dist

Squared distance matrix
minv

Matrix pseudoinverse
cov.B

Between-group covariance matrix
eigen.test

Difference test for successive relative eigenvalues
relative.eigen

Relative eigenanalysis
prop.vcv.test

Proportionality test of two variance-covariance matrices
relGV.multi

Ratio of generalized variances
scaling.BW

Scaling factor between two matrices