baseline_asls {alkahest} | R Documentation |
Asymmetric Least Squares Smoothing
Description
Baseline estimation with asymmetric least squares smoothing.
Usage
baseline_asls(x, y, ...)
## S4 method for signature 'numeric,numeric'
baseline_asls(x, y, p = 0.01, lambda = 10^4, stop = 100)
## S4 method for signature 'ANY,missing'
baseline_asls(x, p = 0.01, lambda = 10^4, stop = 100)
Arguments
x , y |
A |
... |
Currently not used. |
p |
A length-one |
lambda |
A length-one |
stop |
An |
Value
Returns a list
with two components x
and y
.
Author(s)
P. H. C. Eilers and H. F. M. Boelens (original Matlab code)
References
Eilers, P. H. C. & Boelens, H. F. M. (2005). Baseline Correction with Asymmetric Least Squares Smoothing.
See Also
Other baseline estimation methods:
baseline_linear()
,
baseline_peakfilling()
,
baseline_polynomial()
,
baseline_rollingball()
,
baseline_rubberband()
,
baseline_snip()
Examples
## X-ray diffraction
data("XRD")
## Subset from 20 to 70 degrees
XRD <- signal_select(XRD, from = 20, to = 70)
## Plot spectrum
plot(XRD, type = "l", xlab = expression(2*theta), ylab = "Count")
## Polynomial baseline
baseline <- baseline_asls(XRD, p = 0.005, lambda = 10^7)
lines(baseline, type = "l", col = "red")