Conload: Difference between revisions
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===Purpose=== | ===Purpose=== | ||
Congruence loadings for PARAFAC, TUCKER and NPLS. | Congruence loadings for PARAFAC, TUCKER and NPLS. | ||
===Synopsis=== | ===Synopsis=== | ||
: | |||
:bcon = conload(x,model,mode,''options'') | |||
===Description=== | ===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. | 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. | 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=== | ||
* plots : [ 'none' | {'final'} ] Governs the creation of plot of the results. | ''options'' is an options structure with the following fields: | ||
* force : [ {'off'} | 'ellipse' | 'square' ] Forces a given type of limit on the plots (if plot is given). | |||
* '''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=== | ===See Also=== | ||
[[npls]], [[parafac]], [[tucker]] | [[npls]], [[parafac]], [[tucker]] | ||
Latest revision as of 14:54, 9 June 2014
Purpose
Congruence loadings for PARAFAC, TUCKER and NPLS.
Synopsis
- bcon = conload(x,model,mode,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).