WhittakerSmooth: Whittaker Smoother
In zmzhang/baselineWavelet: baseline correction by wavelet and Whittaker Smooth algorithms
Description
Usage
Arguments
Value
Author(s)
See Also
Description
penalized least squares algorithm for background fitting
Usage
1
WhittakerSmooth(x,w,lambda)
Arguments
x
raman spectrum
w
binary masks (value of the mask is zero if a point belongs to peaks and one otherwise)
lambda
lambda is an adjustable parameter, it can be adjusted by user. The larger lambda is, the smoother z will be
differences
an integer indicating the order of the difference of penalties
Value
the fitted vector
Author(s)
Yizeng Liang ,Zhang Zhimin
See Also
zmzhang/baselineWavelet documentation built on Dec. 26, 2019, 8:49 a.m.
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Description Usage Arguments Value Author(s) See Also
Description
penalized least squares algorithm for background fitting
Usage
1 | WhittakerSmooth(x,w,lambda)
|
Arguments
x |
raman spectrum |
w |
binary masks (value of the mask is zero if a point belongs to peaks and one otherwise) |
lambda |
lambda is an adjustable parameter, it can be adjusted by user. The larger lambda is, the smoother z will be |
differences |
an integer indicating the order of the difference of penalties |
Value
the fitted vector
Author(s)
Yizeng Liang ,Zhang Zhimin
See Also
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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