Baseline correction
Common framework for baseline correction
baseline(spectra, method = "irls", ...)
spectra |
Matrix with spectra in rows |
method |
Baseline correction method |
... |
Additional parameters, sent to the method |
Estimates baselines for the spectra, using the algorithm named
in method.
An object of class baseline.
Kristian Hovde Liland and Bjørn-Helge Mevik
Kristian Hovde Liland, Trygve Almøy, Bjørn-Helge Mevik (2010), Optimal Choice of Baseline Correction for Multivariate Calibration of Spectra, Applied Spectroscopy 64, pp. 1007-1016.
The functions implementing the baseline algorithms:
baseline.als, baseline.fillPeaks,
baseline.irls, baseline.lowpass,
baseline.medianWindow,
baseline.modpolyfit,
baseline.peakDetection,
baseline.rfbaseline, baseline.rollingBall,
baseline.shirley, baseline.TAP
# Load data data(milk) # The baseline() function is an S4 wrapper for all the different # baseline correction methods. The default correction method # is IRLS. Data must be organized as row vectors in a matrix # or data.frame. bc.irls <- baseline(milk$spectra[1,, drop=FALSE]) ## Not run: # Computationally heavy plot(bc.irls) ## End(Not run) # Available extractors are: # getBaseline(bc.irls) # getSpectra(bc.irls) # getCorrected(bc.irls) # getCall(bc.irls) # Correction methods and parameters can be specified through the wrapper. bc.fillPeaks <- baseline(milk$spectra[1,, drop=FALSE], lambda=6, hwi=50, it=10, int=2000, method='fillPeaks') ## Not run: # Computationally heavy plot(bc.fillPeaks) ## End(Not run) # If a suitable gWidgets2 implementation is installed, a # graphical user interface is available for interactive # parameter adaption. ## Not run: # Dependent on external software baselineGUI(milk$spectra) ## End(Not run)
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