Dispmat: Difference between revisions
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Calculates a dispersion matrix, as defined by the options, of datasets x and y. | Calculates a dispersion matrix, as defined by the options, of datasets x and y. | ||
==== | ====Inputs==== | ||
* '''x''' : (2-way array class "double" or "dataset") x-matrix for dispersion matrix. | * '''x''' : (2-way array class "double" or "dataset") x-matrix for dispersion matrix. | ||
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* '''y''' : (2-way array class "double" or "dataset") y-matrix for dispersion matrix. | * '''y''' : (2-way array class "double" or "dataset") y-matrix for dispersion matrix. | ||
==== | ====Outputs==== | ||
* '''c''' : dispersion matrix, as defined by options. | * '''c''' : dispersion matrix, as defined by options. | ||
Latest revision as of 17:33, 3 September 2008
Purpose
Calculates the dispersion matrix of two spectral data sets.
Synopsis
- [c,meansx,meansy,stdsx,stdsy] = dispmat(x,y,options);
Description
Calculates a dispersion matrix, as defined by the options, of datasets x and y.
Inputs
- x : (2-way array class "double" or "dataset") x-matrix for dispersion matrix.
- y : (2-way array class "double" or "dataset") y-matrix for dispersion matrix.
Outputs
- c : dispersion matrix, as defined by options.
- meansx : mean of x.
- meansy : mean of y.
- stdsx : standard deviation of x.
- stdsy : standard deviation of y.
Options
- offsetx : [0] offset for x.
- offsety : [0] offset for y.
- dispersion : [1] dispersion matrix calculated:
- 1: standardized, offset corrected
- 2: length sqrt(nrows), offset corrected
- 3: purity about mean, offset corrected
- 4: purity about origin, offset corrected
- 5: asynchronous, offset corrected