norm.SNV {RamanMP} | R Documentation |
Z-score normalisation
Description
The function performs a Standard normal variate (SNV) transformation of a spectra. Normalisation is performed subtracting at each peak intensity the mean intensity value of the spectra and then dividing for the standard deviation of the spectra intensities.
Usage
norm.SNV(spectra)
Arguments
spectra |
A dataframe/matrix with frequency values as first column and at least one column with intensity values. |
Value
Return the normalised spectra: the first column represent the frequency data, the second the intensity values normalised by Z-score
Author(s)
Veronica Nava
Examples
data("MPdatabase")
norm.database<-norm.SNV(MPdatabase)
norm.spectra<-norm.SNV(MPdatabase[,c(1,2)])
[Package RamanMP version 1.0 Index]