noise: Noise Estimation

In MsCoreUtils: Core Utils for Mass Spectrometry Data

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

stats::mad(), stats::supsmu()

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 documentation built on Nov. 8, 2020, 10:59 p.m.