baseline.modpolyfit: Modified polynomial fitting

In baseline: Baseline Correction of Spectra

Modified polynomial fitting

Description

An implementation of CHAD A. LIEBER and ANITA MAHADEVAN-JANSENs algorithm for polynomial fiting

Usage

baseline.modpolyfit(spectra, t, degree = 4, tol = 0.001, rep = 100)

Arguments

spectra	Matrix with spectra in rows
t	Optional vector of spectrum abcissa
degree	Degree of polynomial
tol	Tolerance of difference between iterations
rep	Maximum number of iterations

Details

Polynomial fitting with baseline suppression relative to original spectrum

Value

baseline	Matrix of baselines corresponding to spectra spectra
corrected	Matrix of baseline corrected spectra

Author(s)

Kristian Hovde Liland and Bjørn-Helge Mevik

References

CHAD A. LIEBER and ANITA MAHADEVAN-JANSEN: Automated Method for Subtraction of Fluorescence from Biological Raman Spectra

Examples

data(milk)
bc.modpolyfit <- baseline(milk$spectra[1,, drop=FALSE], method='modpolyfit', deg=6)
## Not run: 
	plot(bc.modpolyfit)

## End(Not run)

baseline documentation built on Nov. 18, 2023, 5:14 p.m.