baseline.irls {baseline} | R Documentation |
Iterative Restricted Least Squares
Description
An algorithm with primary smoothing and repeated baseline suppressions and regressions with 2nd derivative constraint
Usage
baseline.irls(spectra, lambda1 = 5, lambda2 = 9, maxit = 200, wi = 0.05)
Arguments
spectra |
Matrix with spectra in rows |
lambda1 |
2nd derivative constraint for primary smoothing |
lambda2 |
2nd derivative constraint for secondary smoothing |
maxit |
Maximum number of iterations |
wi |
Weighting of positive residuals |
Value
baseline |
Matrix of baselines corresponding to spectra |
corrected |
Matrix of baseline corrected spectra |
smoothed |
Matrix of primary smoothed spectra |
Author(s)
Kristian Hovde Liland and Bjørn-Helge Mevik
Examples
data(milk)
bc.irls <- baseline(milk$spectra[1,, drop=FALSE], method='irls')
## Not run:
plot(bc.irls)
## End(Not run)
[Package baseline version 1.3-5 Index]