| smooth-methods {MSnbase} | R Documentation |
This method smooths individual spectra (Spectrum instances)
or whole experiments (MSnExp instances).
Currently, the Savitzky-Golay-Smoothing (method = "SavitzkyGolay")
and the Moving-Average-Smoothing (method = "MovingAverage") are
available, as implemented in the MALDIquant::smoothIntensity function.
Additional methods might be added at a later stage.
signature(x = "MSnExp", method = "character",
halfWindowSize = "integer", verbose = "logical", ...)Smooths all spectra in MSnExp. method could be
"SavitzkyGolay" or
"MovingAverage". "halfWindowSize" controls the
window size of the filter. The resulting window size is 2 *
halfWindowSize + 1. The best size differs depending on the
selected method. For method = "SavitzkyGolay" it
should be lower than FWHM of the peaks (full width at half
maximum; please find details in Bromba and Ziegler 1981). The
arguments ... are passed to the internal functions.
Currently the only supported argument is polynomialOrder
(default: 3) for method="SavitzkyGolay" to control the
polynomial order of the Savitzky-Golay Filter. This method
displays a progress bar if verbose = TRUE. Returns an
MSnExp instance with smoothed spectra.
signature(x = "Spectrum", method = "character",
halfWindowSize = "integer", ...)Smooths the spectrum (Spectrum instance). This method is
the same as above but returns a smoothed Spectrum instead
of an MSnExp object. It has no verbose
argument. Please read the details for the above MSnExp
method.
Sebastian Gibb <mail@sebastiangibb.de>
A. Savitzky and M. J. Golay. 1964. Smoothing and differentiation of data by simplified least squares procedures. Analytical chemistry, 36(8), 1627-1639.
M. U. Bromba and H. Ziegler. 1981. Application hints for Savitzky-Golay digital smoothing filters. Analytical Chemistry, 53(11), 1583-1586.
S. Gibb and K. Strimmer. 2012. MALDIquant: a versatile R package for the analysis of mass spectrometry data. Bioinformatics 28: 2270-2271. http://strimmerlab.org/software/maldiquant/
clean, pickPeaks, removePeaks and
trimMz for other spectra processing methods.
sp1 <- new("Spectrum1",
intensity = c(1:6, 5:1),
mz = 1:11)
sp2 <- smooth(sp1, method = "MovingAverage", halfWindowSize = 2)
intensity(sp2)
data(itraqdata)
itraqdata2 <- smooth(itraqdata,
method = "MovingAverage",
halfWindowSize = 2)
processingData(itraqdata2)