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noise

Noise Estimation

Description

This functions estimate the noise in the data.

Usage

noise(x, y, method = c("MAD", "SuperSmoother"), ...)

Arguments

x

numeric, x values for noise estimation (e.g. mz)
y

numeric, y values for noise estimation (e.g. intensity)
method

character(1) used method. Currently MAD (median absolute deviation) and Friedman's SuperSmoother are supported.
...

further arguments passed to method.

Value

A numeric of the same length as x with the estimated noise.

Author(s)

Sebastian Gibb

See Also

Other noise estimation and smoothing functions: smooth()

Examples

x <- 1:20
y <- c(1:10, 10:1)
noise(x, y)
noise(x, y, method = "SuperSmoother", span = 1 / 3)
MsCoreUtils

Core Utils for Mass Spectrometry Data

v1.2.0
Artistic-2.0
Authors
RforMassSpectrometry Package Maintainer [cre], Laurent Gatto [aut] (<https://orcid.org/0000-0002-1520-2268>), Johannes Rainer [aut] (<https://orcid.org/0000-0002-6977-7147>), Sebastian Gibb [aut] (<https://orcid.org/0000-0001-7406-4443>), Adriaan Sticker [ctb], Sigurdur Smarason [ctb], Thomas Naake [ctb]
Initial release

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