smoothing_interpolation: Smoothing interpolation

In specmine: Metabolomics and Spectral Data Analysis and Mining

Description

Performs smoothing interpolation according to a specific method.

Usage

smoothing_interpolation(dataset, method = "bin", 
reducing.factor = 2, x.axis = NULL, p.order = 3, 
window = 11, deriv = 0, na.rm = TRUE)

Arguments

dataset	list representing the dataset from a metabolomics experiment.
method	string specifying the smoothing method. The three possible methods are: "bin", "loess" and "savitzky.golay".
reducing.factor	numeric value indicating the reducing factor for bin method.
x.axis	numeric vector representing the new x-axis for loess method.
p.order	numeric value representing the polynomial order for savitzky-golay method.
window	numeric value indicating the size of the window for savitzky-golay method. (must be an odd number)
deriv	numeric value indicating the differentiation order for savitzky-golay method.
na.rm	boolean value indicating if NAs should be removed. Defaults to TRUE.

Value

Returns the dataset with the spectra smoothed.

specmine documentation built on Sept. 21, 2021, 5:06 p.m.