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Linear Baseline Estimation

Source: R/AllGenerics.R, R/baseline.R
baseline_linear.Rd

Linear Baseline Estimation

Usage

baseline_linear(x, y, ...)

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

# S4 method for 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.

See also

signal_correct()

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

Author

N. Frerebeau

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")