signalGrouping {adductomicsR} | R Documentation

## Signal grouping

### Description

Euclidean distances between m/z signals are hierarchically clustering using the average method and the composite spectrum groups determined by an absolute error cutoff

### Usage

    signalGrouping(spectrum.df = NULL, mzError = 0.8, minPeaks = 5)

### Arguments

`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)
`minPeaks` | numeric minimum number of peaks to integrate

### Value

dataframe of m/z grouped signals, the m/z values of the input dataframe/ matrix peak groups are averaged and the signal intensities summed.

[Package adductomicsR version 1.2.0 Index]