estimateBaselineNoise: From an EIC estimate the local noise level and baseline of...
In nathaniel-mahieu/centWaveP: CWT Based Chromatographic Peak Detection
Description
Usage
Arguments
Details
Value
See Also
View source: R/estimate_baseline_noise.R
Description
estimateBaselineNoise returns an EIC with additional vectors containing the estimated baseline at each point, the estimated noise level, and a smoothed EIC.
Usage
1
estimateBaselineNoise(eic, peakwidth)
Arguments
eic
data.frame A data frame with columns "i" and "rt"
peakwidth
integer A two number vector containing the min and max expected peakwidth. Used to determine the smoothing window.
minslope.peak
numeric The maximum slope a region may have to be considered a baseline region
Details
Baseline estimation is performed by excluding all smoothed regions with a slope less than minslope.peak and interpolating the remaining "baseline" regions.
Local noise estimation is performed by taking the standard deviation of the difference between the smoothed and the unsmoothed EICs.
Value
The original data.frame with additional columns i.sg - the smoothed EIC, baseline.region - 0 for peak regions, 1 for baseline regions, baseline - the estimated baseline intensity at that point, noise.sd - the estimated noise level at that point.
See Also
nathaniel-mahieu/centWaveP documentation built on May 23, 2019, 12:19 p.m.
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Description Usage Arguments Details Value See Also
View source: R/estimate_baseline_noise.R
Description
estimateBaselineNoise returns an EIC with additional vectors containing the estimated baseline at each point, the estimated noise level, and a smoothed EIC.
Usage
1 | estimateBaselineNoise(eic, peakwidth)
|
Arguments
eic |
data.frame A data frame with columns "i" and "rt" |
peakwidth |
integer A two number vector containing the min and max expected peakwidth. Used to determine the smoothing window. |
minslope.peak |
numeric The maximum slope a region may have to be considered a baseline region |
Details
Baseline estimation is performed by excluding all smoothed regions with a slope less than minslope.peak and interpolating the remaining "baseline" regions.
Local noise estimation is performed by taking the standard deviation of the difference between the smoothed and the unsmoothed EICs.
Value
The original data.frame with additional columns i.sg - the smoothed EIC, baseline.region - 0 for peak regions, 1 for baseline regions, baseline - the estimated baseline intensity at that point, noise.sd - the estimated noise level at that point.
See Also
R Package Documentation
Browse R Packages
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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