CAwa1: Correspondence Analysis.

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

Description

First axis of Correspondence Analysis using weighted averaging, also known as Reciprocal Averaging (Hill 1973).

Usage

CAwa1(Y)

Arguments

Y	Data matrix.

Details

This is a poor algorithm to perform CA, and is included only to show how simple it is. Correspondence Analysis was originally introduced in ecology as a result of this algorithm, and called Reciprocal Averaging (Hill 1973). The function only finds one axis. It would be possible to find later axes by orthogonalizing against previous axes, but if several axes are needed, it is better to use other algorithms from the beginning.

Value

eig	Eigenvalue of the first axis.
u	Row scores of the first axis.
v	Column scores of the first axis.

Author(s)

Jari Oksanen.

References

Hill, M.O. (1973) Reciprocal averaging: an eigenvector method of ordination. J. Ecol. 61, 237–249.

See Also

CA and CAeig are better algorihtms for CA. PCApot1 is a similar poor algorithm for PCA.

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