FRESAScale: Data frame normalization

In FRESA.CAD: Feature Selection Algorithms for Computer Aided Diagnosis

Data frame normalization

Description

All features from the data will be normalized based on the distribution of the reference data-frame

Usage

	FRESAScale(data,refFrame=NULL,method=c("Norm","Order","OrderLogit","RankInv"),
    refMean=NULL,refDisp=NULL,strata=NA)

Arguments

data	The dataframe to be normalized
refFrame	The reference frame that will be used to extract the feature distribution
method	The normalization method. Norm: Mean and Std, Order: Median and IQR,OrderLogit order plus logit, RankInv: rankInverseNormalDataFrame
refMean	The mean vector of the reference frame
refDisp	the data dispersion method of the reference frame
strata	the data stratification variable for the RankInv method

Details

The data-frame will be normalized according to the distribution of the reference frame or the mean vector(refMean) scaled by the reference dispersion vector(refDisp).

Value

scaledData	The scaled data set
refMean	The mean or median vector of the reference frame
refDisp	The data dispersion (standard deviation or IQR)

Author(s)

Jose G. Tamez-Pena

See Also

rankInverseNormalDataFrame

FRESA.CAD documentation built on Nov. 25, 2023, 1:07 a.m.