Description Usage Arguments Value
Euclidean distances between m/z signals are hierarchically clustering using the average method and the composite spectrum groups determined by a absolute error cutoff
1 | signalGrouping(spectrum.df = NULL, mzError = 0.001, minPeaks = 5)
|
spectrum.df |
a dataframe or matrix with two or more columns: 1. Mass/ Mass-to-charge ratio 2. Intensity |
mzError |
interpeak absolute m/z error for signal grouping (Default = 0.001) |
dataframe of m/z grouped signals, the m/z values of the input dataframe/ matrix peak groups are averaged and the signal intensities summed.
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