MAF {tofsims} | R Documentation

## Class MAF

### Description

Class `MAF` contains methods for Maximum Autocorrelation Factors analysis

MAF is a Maximum Autocorrelation Factor Analysis

### Usage

    MAF(dataObject, nComp = 10, usePCA = TRUE)

    MAF(dataObject, nComp = 10, usePCA = TRUE)

### Arguments

`dataObject` | object of type MassImage
`nComp` | integer number of components
`usePCA` | boolean use PCA

### Details

Class `MAF` contains methods for Maximum Autocorrelation Factors analysis

MAF is a Maximum Autocorrelation Factor Analysis. The code is implemented from the publication of

### Value

object of type MAF

### Examples

    library(tofsimsData)
    data(tofsimsData)
    ## Not run: data(tofsimsData)
    MAF(testImage,5,TRUE)
    image(analysis(testImage,1),comp = 1)
    ## End(Not run)

[Package tofsims version 1.16.0 Index]