String x and Tsqqmtx: Difference between pages
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===Purpose=== | ===Purpose=== | ||
Calculates matrix for T^2+Q contributions for PCA and MPCA. | |||
===Synopsis=== | ===Synopsis=== | ||
: | |||
:[tsqqmat,tsqqs] = tsqqmtx(x,model,wt) | |||
===Description=== | ===Description=== | ||
====Inputs==== | |||
* '''x''' = data matrix [class double or dataset] | |||
* '''model''' = PCA or MPCA model standard model struture (see PCA). | |||
====Optional Inputs==== | |||
* '''wt''' = {sqrt((M-K-1)/(M-1))}, 0<=wt<=1 scalar weighting for contributions 0<wt<1 gives combined T^2 and Q statistics where M is the number of calibration samples and K is the number of PCs. | |||
::wt = 1 gives T^2 and T^2 contributions | |||
::wt = 0 gives standarized Q residuals | |||
====Outputs==== | ====Outputs==== | ||
* ''' | * '''tsqqs''' = combined Hotelling's T^2 + Q residual | ||
* '''tsqqmat''' = matrix of individual variable contributions such that | |||
::<tt>tsqqs(i) = tsqqmat(i,:)*tsqqmat(i,:)';</tt> | |||
===See Also=== | |||
[[datahat]], [[pca]], [[pcr]], [[pls]], [[tsqmtx]] |
Revision as of 14:15, 10 October 2008
Purpose
Calculates matrix for T^2+Q contributions for PCA and MPCA.
Synopsis
- [tsqqmat,tsqqs] = tsqqmtx(x,model,wt)
Description
Inputs
- x = data matrix [class double or dataset]
- model = PCA or MPCA model standard model struture (see PCA).
Optional Inputs
- wt = {sqrt((M-K-1)/(M-1))}, 0<=wt<=1 scalar weighting for contributions 0<wt<1 gives combined T^2 and Q statistics where M is the number of calibration samples and K is the number of PCs.
- wt = 1 gives T^2 and T^2 contributions
- wt = 0 gives standarized Q residuals
Outputs
- tsqqs = combined Hotelling's T^2 + Q residual
- tsqqmat = matrix of individual variable contributions such that
- tsqqs(i) = tsqqmat(i,:)*tsqqmat(i,:)';