R: Run a predictionTest or baselineAlgTest

runTest {baseline}

R Documentation

Run a predictionTest or baselineAlgTest

Description

Runs the test defined in a predictionTest or baselineAlgTest object

Usage

runTest(object, X, y, ...)
## S4 method for signature 'PLSRTest'
runTest(object, X, y)
## S4 method for signature 'ridgeRegressionTest'
runTest(object, X, y)
## S4 method for signature 'baselineAlgTest'
runTest(object, X, y, predictionTest, postproc, verbose = FALSE)

Arguments

`object`	An object of class `baselineAlgTest` or subclass of `predictionTest` (currently `PLSRTest` or `ridgeRegressionTest`). The object specify the test to be run
`X`	A matrix. The spectra to use in the test
`y`	A vector or matrix. The response(s) to use in the test
`predictionTest`	A `predictionTest` object, describing the prediction test to use for this baseline algorithm test
`postproc`	A function, used to postprocess the baseline corrected spectra prior to prediction testing. The function should take a matrix of spectra as its only argument, and return a matrix of postprocessed spectra
`verbose`	Logical, specifying whether the test should print out progress information. Default is `FALSE`
`...`	Other arguments. Currently only used by the `baselineAlgTest` method.

Value

runTest returns an object of class predictionResult or baselineAlgResult.

Methods

signature(object = "baselineAlgTest"): Baseline corrects the spectra, optionally postprocesses them, and runs a prediction test on the corrected spectra.
signature(object = "PLSRTest"): Runs PLSR on the data and calculates the cross-validated RMSEP
signature(object = "ridgeRegressionTest"): Runs ridge regression on the data and calculates the GCV

Author(s)

Bjørn-Helge Mevik and Kristian Hovde Liland