norm.SNV: Z-score normalisation
In RamanMP: Analysis and Identification of Raman Spectra of Microplastics
Description
Usage
Arguments
Value
Author(s)
Examples
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
1
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
1
2
3
data("MPdatabase")
norm.database<-norm.SNV(MPdatabase)
norm.spectra<-norm.SNV(MPdatabase[,c(1,2)])
RamanMP documentation built on July 9, 2021, 9:07 a.m.
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Description Usage Arguments Value Author(s) Examples
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
1 | 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
1 2 3 | data("MPdatabase")
norm.database<-norm.SNV(MPdatabase)
norm.spectra<-norm.SNV(MPdatabase[,c(1,2)])
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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