Class MAF

Share:

Description

Class MAF contains methods for Maximum Autocorrelation Factors analysis

MAF is a Maximum Autocorrelation Factor Analysis

Usage

1
2
3
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

1
2
3
4
5
6
library(tofsimsData)
data(tofsimsData)
## Not run: data(tofsimsData)
MAF(testImage,5,TRUE)
image(analysis(testImage,1),comp = 1)
## End(Not run)

Want to suggest features or report bugs for rdrr.io? Use the GitHub issue tracker.