plotValidationGraph {funtooNorm} | R Documentation

## plot of Validation Graph for determing number of components

### Description

Plots a series of graphs for each signal type, to determine the number of components to include in the normalization procedure.

### Usage

    plotValidationGraph(object, type.fits = "PCR", pdf.file = NULL)

    ## S4 method for signature 'SampleSet'
    plotValidationGraph(object, type.fits = "PCR",
      pdf.file = NULL)

### Arguments

`object` | of class SampleSet
`type.fits` | can be "PCR" or "PLS" (default "PCR")
`pdf.file` | if no file name is provided print pdf file plotValidationGraph.pdf in working directory.

### Value

No value is returned. The function prints the plots to a pdf file.

### Methods (by class)

- `SampleSet`: Plots a series of graphs for each signal type, to determine the number of components to include in the normalization procedure.

### Examples

    require(minfiData)
    pData(RGsetEx)$cell_type <- rep(c("type1","type2"),3)
    mySampleSet=fromRGChannelSet(RGsetEx)
    plotValidationGraph(mySampleSet)

[Package funtooNorm version 1.6.0 Index]