specNoise: Calculate noise for a sparse continuum mass spectrum
In anupbharade09/xcms_test: LC/MS and GC/MS Data Analysis
Description
Usage
Arguments
Details
Value
Author(s)
See Also
Description
Given a sparse continuum mass spectrum, determine regions where
no signal is present, substituting half of the minimum intensity
for those regions. Calculate the noise level as the weighted mean
of the regions with signal and the regions without signal.
If there is only one raw peak, return zero.
Usage
1
Arguments
spec
matrix with named columns mz and intensity
gap
threshold above which to data points are considerd to be separated
by a blank region and not bridged by an interpolating line
Details
The default gap value is determined from the 90th percentile of
the pair-wise differences between adjacent mass values.
Value
A numeric noise level
Author(s)
Colin A. Smith, csmith@scripps.edu
See Also
anupbharade09/xcms_test documentation built on May 14, 2019, 4:07 a.m.
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Description Usage Arguments Details Value Author(s) See Also
Description
Given a sparse continuum mass spectrum, determine regions where no signal is present, substituting half of the minimum intensity for those regions. Calculate the noise level as the weighted mean of the regions with signal and the regions without signal. If there is only one raw peak, return zero.
Usage
1 |
Arguments
spec |
matrix with named columns |
gap |
threshold above which to data points are considerd to be separated by a blank region and not bridged by an interpolating line |
Details
The default gap value is determined from the 90th percentile of the pair-wise differences between adjacent mass values.
Value
A numeric noise level
Author(s)
Colin A. Smith, csmith@scripps.edu
See Also
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.
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