Optional
fromOptional
maxPeaks are local maxima (true) or minima (false)
true
Optional
minMinimal height of small peaks based on the ratio between min and max
0.00025
Optional
minMinimal peak width
Optional
noisePeak under the noiseLevel (or over in case of maxCriteria=false) are ignored.
Optional
normalizationNormalization can be applied before peak picking. This is useful for example to correct baseline while still have a minMaxRatio filter
Optional
realUse a quadratic optimizations with the peak and its 3 closest neighbors
false
Optional
sgOptions for the Savitzky-Golay generalised algorithm. This algorithm is used to calculate the first ans second derivative. It is also used when smoothY:true to smooth the spectrum for peak picking. The Y values in case of smoothY is true will therefore be lower.
{windowSize:9,polynomial:3}
Optional
shapeOptional
smoothYSelect the peak intensities from a smoothed version of the independent variables
false
Optional
toLast X value for the peak picking (default: last X value
Optional
xx variable label, by default 'x'
Optional
yy variable label, by default 'y'
First X value for the peak picking (default: first X value