MAF: Class MAF

Description Usage Arguments Details Value Examples

View source: R/MAF.R

Description

Class MAF contains methods for Maximum Autocorrelation Factors analysis

MAF is a Maximum Autocorrelation Factor Analysis

Usage

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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

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

tofsims documentation built on Nov. 17, 2017, 1:37 p.m.