baseline: baseline.modpolyfit – R documentation

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baseline.modpolyfit

Modified polynomial fitting

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

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

`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

Polynomial fitting with baseline suppression relative to original spectrum

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

Kristian Hovde Liland and Bjørn-Helge Mevik

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

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

## End(Not run)

Baseline Correction of Spectra

v1.3-1

GPL-2

Authors

Kristian Hovde Liland [aut, cre], Bjørn-Helge Mevik [aut], Roberto Canteri [ctb]

Initial release

2020-09-10