baseline_linear: Linear Baseline Estimation

In alkahest: Pre-Processing XY Data from Experimental Methods

Linear Baseline Estimation

Description

Linear Baseline Estimation

Usage

baseline_linear(x, y, ...)

## S4 method for signature 'numeric,numeric'
baseline_linear(x, y, points = range(x))

## S4 method for signature 'ANY,missing'
baseline_linear(x, points = range(x))

Arguments

x, y	A numeric vector. If y is missing, an attempt is made to interpret x in a suitable way (see grDevices::xy.coords()).
...	Currently not used.
points	A numeric vector specifying the data points to be used in the fitting process (in x unit).

Value

Returns a list with two components x and y.

Author(s)

N. Frerebeau

See Also

signal_correct()

Other baseline estimation methods: baseline_asls(), baseline_peakfilling(), baseline_polynomial(), baseline_rollingball(), baseline_rubberband(), baseline_snip()

Examples

## X-ray diffraction
data("XRD")

## Plot spectrum
plot(XRD, type = "l", xlab = expression(2*theta), ylab = "Count")

## Linear baseline
baseline <- baseline_linear(XRD, points = c(25, 34))

plot(XRD, type = "l", xlab = expression(2*theta), ylab = "Count")
lines(baseline, type = "l", col = "red")

## Correct baseline
XRD$count <- XRD$count - baseline$y

plot(XRD, type = "l", xlab = expression(2*theta), ylab = "Count")

alkahest documentation built on April 3, 2025, 8:52 p.m.