noiseEstimation-class: An S4 class to represent heteroscedasctic noise of MS.
In proFIA: Preprocessing of FIA-HRMS data
Description
An S4 class to represent heteroscedasctic noise of MS.
Slots
binsThe limit of the bins on which the noise have been estimated.
varmeanThe estimate of the mean of the variance in each bin.
sizeThe size of each bins in number of elements.
estimationThe estimation function, if a model have been fitted.
filelistThe list of the fitted file.
estimatedA boolean indicating if a model have been fitted.
fracA numeric giving the fraction of the point ot be conserved when estimating the noise model.
intlimThe maximum and minmum intensity on which the estimationis done.
reglimThe limits of the regression of the model on these data.
detected for each experiment.
proFIA documentation built on March 20, 2021, 6 p.m.
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Description
An S4 class to represent heteroscedasctic noise of MS.
Slots
binsThe limit of the bins on which the noise have been estimated.
varmeanThe estimate of the mean of the variance in each bin.
sizeThe size of each bins in number of elements.
estimationThe estimation function, if a model have been fitted.
filelistThe list of the fitted file.
estimatedA boolean indicating if a model have been fitted.
fracA numeric giving the fraction of the point ot be conserved when estimating the noise model.
intlimThe maximum and minmum intensity on which the estimationis done.
reglimThe limits of the regression of the model on these data. detected for each experiment.
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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