signalGrouping: Signal grouping
In WMBEdmands/compMS2Miner: an automatable metabolite identification, visualization and data-sharing R package for high-resolution LC-MS datasets
Description
Usage
Arguments
Value
Description
Euclidean distances between m/z signals are hierarchically clustering using
the average method and the composite spectrum groups determined by a absolute
error cutoff
Usage
1
signalGrouping(spectrum.df = NULL, mzError = 0.001, 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)
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.
WMBEdmands/compMS2Miner documentation built on May 9, 2019, 10:04 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Value
Description
Euclidean distances between m/z signals are hierarchically clustering using the average method and the composite spectrum groups determined by a absolute error cutoff
Usage
1 | signalGrouping(spectrum.df = NULL, mzError = 0.001, 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) |
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.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.