PCoA: Principal Coordinates Analysis

In barebone: Multivariate Methods in Ecology with R: Basic Algorithms

Description

Principal Coordinates Analysis (PCoA) is also known as metric or classic multidimensional scaling.

Usage

PCoA(D)

Arguments

D	Dissimilarity or distance structure. This either should inherit from dist or have a similar as.matrix method producing a symmetric matrix.

Details

Function does not scale the result the vectors by eigenvalues, and returns all non-zero eigenvalues, including negative eigenvalues, and associated axes.

Value

Function returns an object from eigen.

values	Eigenvalues
vectors	Orthonormal row scores.

Author(s)

Jari Oksanen

References

Gower, J. C. (1966) Some distance properties of latent root and vector methods used in multivariate analysis. Biometrika 53, 325–328.

Mardia, K. V., Kent, J. T. and Bibby, J. M. (1979). Chapter 14 of Multivariate Analysis, London: Academic Press.

See Also

cmdscale, PCAeig.

barebone documentation built on May 2, 2019, 5:17 p.m.