Conload

From Eigenvector Documentation Wiki

Contents 1 Purpose 2 Synopsis 3 Description 3.1 Inputs 3.2 Outputs 4 Options 5 See Also

Purpose

Congruence loadings for PARAFAC, TUCKER and NPLS.

Synopsis

bcon = conload(x,model,options)

Description

Determines congruence (earlier known as correlation) loadings for a specific mode of a model. Congruence loadings look at "non-average correlations", hence take differences in offset into account.

Note that due to non-orthogonal loadings in PARAFAC, individual correlations can add to more than 1. Therefore, such loadings are not drawn with ellipses but squares added. Use options.force = 'ellipse' or 'square' to force one or the other on the plot.

Inputs

x = modeled data

model = standard model structure

mode = loading mode to investigate (i.e., mode = 1 for samples if they are in the first mode / rows)

Outputs

bcon = congruence loadings

Options

options is an options structure with the following fields:

plots : [ 'none' | {'final'} ] Governs the creation of plot of the results.

force : [ {'off'} | 'ellipse' | 'square' ] Forces a given type of limit on the plots (if plot is given).

See Also

npls, parafac, tucker