Noise Estimation

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.

See also

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

Other noise estimation and smoothing functions: smooth()

Author

Sebastian Gibb

Examples

x <- 1:20
y <- c(1:10, 10:1)
noise(x, y)
#>  [1] 3.7065 3.7065 3.7065 3.7065 3.7065 3.7065 3.7065 3.7065 3.7065 3.7065
#> [11] 3.7065 3.7065 3.7065 3.7065 3.7065 3.7065 3.7065 3.7065 3.7065 3.7065
noise(x, y, method = "SuperSmoother", span = 1 / 3)
#>  [1] 1.000000 2.000000 3.000000 4.000000 5.000000 6.000000 7.000000 7.857143
#>  [9] 8.428571 8.714286 8.714286 8.428571 7.857143 7.000000 6.000000 5.000000
#> [17] 4.000000 3.000000 2.000000 1.000000