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

### See Also

`baselineAlgTest`, `predictionTest`, `PLSRTest`, `ridgeRegressionTest`

[Package baseline version 1.2-1 Index]