Conload: Difference between revisions

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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.
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====
====Inputs====


* '''X''' = modeled data
* '''X''' = modeled data
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* '''mode''' = loading mode to investigate (i.e. mode = 1 for samples if they are in the first mode)
* '''mode''' = loading mode to investigate (i.e. mode = 1 for samples if they are in the first mode)


====OUTPUTS====
====Outputs====


Bcon = Congruence loadings
Bcon = Congruence loadings

Revision as of 16:32, 3 September 2008

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)

Outputs

Bcon = Congruence loadings

Options

  • 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