Evolvfa

From Eigenvector Documentation Wiki

Contents 1 Purpose 2 Synopsis 3 Description 3.1 Inputs 3.2 Optional Inputs 3.3 Outputs 4 See Also

Purpose

Evolving factor analysis (forward and reverse)..

Synopsis

[egf,egr] = evolvfa(xdat,plot,tdat)

Description

EVOLVFA calculates the singular values (square roots of the eigenvalues of the covariance matrix) of sub-matrices of xdat and returns results of the forward analysis in egf and reverse analysis in egr.

[egf,egr] = evolvfa(xdat) calculates eigenvalues of sub-matrices of xdat and returns results of the forward analysis in egf and reverse analysis in egr.

[egf,egr] = evolvfa(xdat,plot) allows the user to control plotting options. When plot is set to 0 the plot of the results is suppressed. Setting plot equal to 1 {default} plots the results.

[egf,egr] = evolvfa(xdat,plot,tdat) gives the routine an optional vector tdat to plot results against.

Inputs

• xdat = input x-block (2D), either a double array or dataset object

Optional Inputs

• plot = [ 0 | {1} ] - 0 suppresses plotting
• tdat = vector to plot results (egf and egr) against

Outputs

• egf = results of forward analysis
• egr = results of reverse analysis

See Also

ewfa, pca, wtfa, mcr, mpca, pcaengine