Coreanal: Difference between revisions
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===Purpose=== | ===Purpose=== | ||
Evaluate, display, and rotate core from a Tucker model. | Evaluate, display, and rotate core from a Tucker model. | ||
===Synopsis=== | ===Synopsis=== | ||
:result = coreanal(core,''action,param'') | :result = coreanal(core,''action,param'') | ||
===Description=== | ===Description=== | ||
Performs an analysis of the input core array of a Tucker model core. Results are returned in the output result. | Performs an analysis of the input core array of a Tucker model core. Results are returned in the output result. | ||
Optional input ''action'' is a text string used to customize the analysis. | Optional input ''action'' is a text string used to customize the analysis. | ||
action = 'list', the output result contains text describing the main properties of the core. If coreanal is called without outputs, the text is printed to the command window. If optional input ''param'' is included, the number of core entries shown can be controlled. | action = 'list', the output result contains text describing the main properties of the core. If coreanal is called without outputs, the text is printed to the command window. If optional input ''param'' is included, the number of core entries shown can be controlled. | ||
action = 'plot', the core array is plotted and output result is not assigned. | action = 'plot', the core array is plotted and output result is not assigned. | ||
action = 'maxvar', Rotates the core to maximum variance. This is the same as maximum simplicity as defined by Andersson & Henrion, Chemometrics & Intelligent Laboratory Systems, 1999,47,189-204.The output result is a structure array containing the rotated core in the field core and the rotation matrices to achieve this rotation in the field transformation. | action = 'maxvar', Rotates the core to maximum variance. This is the same as maximum simplicity as defined by Andersson & Henrion, Chemometrics & Intelligent Laboratory Systems, 1999,47,189-204.The output result is a structure array containing the rotated core in the field core and the rotation matrices to achieve this rotation in the field transformation. | ||
The loadings of the Tucker model should also be rotated correspondingly which can also be done using coreanal. | The loadings of the Tucker model should also be rotated correspondingly which can also be done using coreanal. | ||
===Examples=== | ===Examples=== | ||
:result = coreanal(model,'list'); | :result = coreanal(model,'list'); | ||
:result = coreanal(model.core,'list'); | :result = coreanal(model.core,'list'); | ||
will list information on the core-entries (explained variance etc). | will list information on the core-entries (explained variance etc). | ||
:result = coreanal(model.core,'list',10); | :result = coreanal(model.core,'list',10); | ||
:coreanal(model.core,'list',10); | :coreanal(model.core,'list',10); | ||
will do the same but only for the ten most significant core-entries with the second version (with no output) printing the information to the command window. | will do the same but only for the ten most significant core-entries with the second version (with no output) printing the information to the command window. | ||
:result = coreanal(model,'plot'); | :result = coreanal(model,'plot'); | ||
will make a plot of the core where the size of each core-entry shows the variance explained. If the core is of higher order than three, it is first rearranged to a three-way array. | will make a plot of the core where the size of each core-entry shows the variance explained. If the core is of higher order than three, it is first rearranged to a three-way array. | ||
:rotatedcore = coreanal(model,'maxvar'); | :rotatedcore = coreanal(model,'maxvar'); | ||
will rotate the core to maximal variance. | will rotate the core to maximal variance. | ||
:rotatedmodel = coreanal(oldmodel,rotatedcore); | :rotatedmodel = coreanal(oldmodel,rotatedcore); | ||
where the input oldmodel is the original Tucker model structure and rotatedcore is the output from above. The rotation can be achieved in one step using: | where the input oldmodel is the original Tucker model structure and rotatedcore is the output from above. The rotation can be achieved in one step using: | ||
: rotatedmodel = coreanal(oldmodel,coreanal(oldmodel,'maxvar')); | : rotatedmodel = coreanal(oldmodel,coreanal(oldmodel,'maxvar')); | ||
===See Also=== | ===See Also=== | ||
[[corecalc]], [[tucker]] | [[corecalc]], [[tucker]] |
Revision as of 14:24, 3 September 2008
Purpose
Evaluate, display, and rotate core from a Tucker model.
Synopsis
- result = coreanal(core,action,param)
Description
Performs an analysis of the input core array of a Tucker model core. Results are returned in the output result.
Optional input action is a text string used to customize the analysis.
action = 'list', the output result contains text describing the main properties of the core. If coreanal is called without outputs, the text is printed to the command window. If optional input param is included, the number of core entries shown can be controlled.
action = 'plot', the core array is plotted and output result is not assigned.
action = 'maxvar', Rotates the core to maximum variance. This is the same as maximum simplicity as defined by Andersson & Henrion, Chemometrics & Intelligent Laboratory Systems, 1999,47,189-204.The output result is a structure array containing the rotated core in the field core and the rotation matrices to achieve this rotation in the field transformation.
The loadings of the Tucker model should also be rotated correspondingly which can also be done using coreanal.
Examples
- result = coreanal(model,'list');
- result = coreanal(model.core,'list');
will list information on the core-entries (explained variance etc).
- result = coreanal(model.core,'list',10);
- coreanal(model.core,'list',10);
will do the same but only for the ten most significant core-entries with the second version (with no output) printing the information to the command window.
- result = coreanal(model,'plot');
will make a plot of the core where the size of each core-entry shows the variance explained. If the core is of higher order than three, it is first rearranged to a three-way array.
- rotatedcore = coreanal(model,'maxvar');
will rotate the core to maximal variance.
- rotatedmodel = coreanal(oldmodel,rotatedcore);
where the input oldmodel is the original Tucker model structure and rotatedcore is the output from above. The rotation can be achieved in one step using:
- rotatedmodel = coreanal(oldmodel,coreanal(oldmodel,'maxvar'));