tested: Tested method for (O)PLS models

In SamGG/ropls: PCA, PLS(-DA) and OPLS(-DA) for multivariate analysis and feature selection of omics data

Description

Returns predictions of the (O)PLS(-DA) model on the out of the box samples (when a 'subset' of samples has been selected when training the model)

Usage

tested(object, ...)

## S4 method for signature 'opls'
tested(object)

Arguments

object	An S4 object of class opls, created by opls function.
...	Currently not used.

Value

Predictions (either a vector, factor, or matrix depending on the y response used for training the model)

Author(s)

Etienne Thevenot, [e-mail]

Examples

data(sacurine)
attach(sacurine)

testedorMN <- dataMatrix
responseFc <- sampleMetadata[, "gender"]

sacurine.plsda <- opls(testedorMN,
                       responseFc,
                       subset = "odd")

trainVi <- getSubsetVi(sacurine.plsda)

table(responseFc[trainVi], fitted(sacurine.plsda))

detach(sacurine)

SamGG/ropls documentation built on May 29, 2019, 1:51 a.m.