All features from the data will be normalized based on the distribution of the reference data-frame
FRESAScale(data,refFrame=NULL,method=c("Norm","Order","OrderLogit","RankInv"),
refMean=NULL,refDisp=NULL,strata=NA)The dataframe to be normalized
The reference frame that will be used to extract the feature distribution
The normalization method. Norm: Mean and Std, Order: Median and IQR,OrderLogit order plus logit, RankInv: rankInverseNormalDataFrame
The mean vector of the reference frame
the data dispersion method of the reference frame
the data stratification variable for the RankInv method
The scaled data set
The mean or median vector of the reference frame
The data dispersion (standard deviation or IQR)
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).