R: Peak Detection for Mass Spectrometry data using wavelet-based algorithms

# Peak Detection for Mass Spectrometry data using wavelet-based algorithms

## Documentation for package ‘MassSpecWavelet’ version 1.70.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

MassSpecWavelet-package | Peak detection of mass spectrum by Wavelet transform based methods
cwt | Continuous Wavelet Transform (CWT)
exampleMS | An example mass spectrum
findLocalMaxWinSize | Find local maxima and return the size of the window where they are maximum.
getLocalMaximumCWT | Identify the local maximum of each column in 2-D CWT coefficients matrix
getRidge | Identify ridges based on the local maximum matrix
getRidgeLength | Estimate the length of the ridge
getRidgeValue | Get the CWT coefficient values corresponding to the peak ridge
identifyMajorPeaks | Identify peaks based on the ridges in 2-D CWT coefficient matrix
localMaximum | Identify local maximum within a slide window.
MassSpecWavelet | Peak detection of mass spectrum by Wavelet transform based methods
mexh | The mexican hat function
mzInd2vRange | Match m/z index to m/z value with a certain error range
mzV2indRange | Match m/z value to m/z index with a certain error range
peakDetectionCWT | The main function of peak detection by CWT based pattern matching
plotLocalMax | Plot the local maximum matrix
plotPeak | Plot the identified peaks over the spectrum
plotRidgeList | Plot the ridge list
prepareWavelets | Prepare daughter wavelets for faster CWT
smoothDWT | smooth (denoise) the spectrum by DWT (Discrete Wavelet Transform)
tuneInPeakInfo | Tune in the peak information: peak position and peak scale