getNormalizationMethod {geneClassifiers} | R Documentation

## Obtain normalization method

### Description

The function `getNormalizationMethod` returns the normalization method associated with the object

`getNormalizationMethods` returns a character vector of currenlty available normalization methods.

### Usage

    getNormalizationMethod(object)

    getNormalizationMethods()

    ## S4 method for signature 'FixedExpressionData'
    getNormalizationMethod(object)

    ## S4 method for signature 'ClassifierParameters'
    getNormalizationMethod(object)

### Arguments

`object` | An object of class `FixedExpressionData` or `ClassifierParameters`

### Details

The given normlization methods can be used in the

### Value

A character string indicating the normalization method.

### See Also

`getNormalizationMethods`

Other classifier information functions: `getCitations`, `getClassifier`, `getDecisionBoundaries`, `getDescription`, `getEventChain`, `getIntercept`, `getMeans`, `getProbeNames`, `getSds`, `getTrainingData`, `getWeights`

Other fixed data information extraction functions: `[,FixedExpressionData,ANY,ANY-method`, `dim,FixedExpressionData-method`, `getTargetValue`

Other workflow functions: `runClassifier`, `setNormalizationMethod`, `showClassifierList`

### Examples

    data(exampleMAS5)
    myData <- setNormalizationMethod(exampleMAS5, "MAS5.0", targetValue=500)
    aClassifier <- getClassifier("EMC92")
    getNormalizationMethod( myData )
    getNormalizationMethod( aClassifier )
    data(exampleMAS5)

    showClassifierList()
    getNormalizationMethods()

    myData <- setNormalizationMethod(exampleMAS5, "MAS5.0",targetValue=500)
    results <- runClassifier('UAMS70', myData)

    getScores( results )
    getClassifications( results )

[Package geneClassifiers version 1.16.0 Index]