prep.msc: Multiplicative Scatter Correction transformation
In mdatools: Multivariate Data Analysis for Chemometrics

prep.msc

R Documentation

Multiplicative Scatter Correction transformation

Description

Applies Multiplicative Scatter Correction (MSC) transformation to data matrix (spectra)

Usage

prep.msc(data, mspectrum = NULL, ...)

Arguments

`data`	a matrix with data values (spectra)
`mspectrum`	mean spectrum (if NULL will be calculated from `spectra`)
`...`	other optional components

Details

MSC is used to remove scatter effects (baseline offset and slope) from spectral data, e.g. NIR spectra.

Value

preprocessed spectra (calculated mean spectrum is assigned as attribute 'mspectrum')

Examples


 ### Apply MSC to spectra from simdata

 library(mdatools)
 data(simdata)

 spectra = simdata$spectra.c
 cspectra = prep.msc(spectra)

 par(mfrow = c(2, 1))
 mdaplot(spectra, type = "l", main = "Before MSC")
 mdaplot(cspectra, type = "l", main = "After MSC")

mdatools documentation built on March 6, 2026, 5:08 p.m.