predict: Predict 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 a new dataset

Usage

## S4 method for signature 'opls'
predict(object, newdata, ...)

Arguments

object	An S4 object of class opls, created by opls function.
newdata	Either a data frame or a matrix, containing numeric columns only, with the same number of columns (variables) as the 'x' used for model training with 'opls'.
...	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)

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

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

trainVi <- getSubsetVi(sacurine.plsda)

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

table(responseFc[-trainVi],
      predict(sacurine.plsda, predictorMN[-trainVi, ]))

detach(sacurine)

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