noiseEstimation-class: An S4 class to represent heteroscedasctic noise of MS.

In adelabriere/proFIA: Preprocessing of FIA-HRMS data

Description

An S4 class to represent heteroscedasctic noise of MS.

Slots

bins

The limit of the bins on which the noise have been estimated.

varmean

The estimate of the mean of the variance in each bin.

size

The size of each bins in number of elements.

estimation

The estimation function, if a model have been fitted.

filelist

The list of the fitted file.

estimated

A boolean indicating if a model have been fitted.

frac

A numeric giving the fraction of the point ot be conserved when estimating the noise model.

intlim

The maximum and minmum intensity on which the estimationis done.

reglim

The limits of the regression of the model on these data. detected for each experiment.

adelabriere/proFIA documentation built on July 12, 2019, 5:46 a.m.