Plsdaroc

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Revision as of 19:57, 2 September 2008 by imported>Jeremy (Importing text file)
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Purpose

Calculate and display ROC curves for PLSDA model.

Synopsis

roc = plsdaroc(model,ycol,options)

Description

ROC curves can be used to assess the specificity and sensitivity possible with different predicted y-value thresholds for a PLSDA model. Inputs are a PLSDA model model, an optional index into the y-columns used in the model ycol [default = all columns], and an options structure. Output is a dataset with the sensitivity/specificity data roc.

Options

  • plots : [ 'none' | {'final'}] governs plotting on/off

See Also

discrimprob, plsda, plsdthres, simca