WhittakerSmooth: Whittaker Smoother
In zmzhang/airPLS_R: adaptive iteratively reweighted Penalized Least Squares for baseline correction
WhittakerSmooth R Documentation
Whittaker Smoother
Description
penalized least squares algorithm for background fitting
Usage
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
zmzhang/airPLS_R documentation built on Aug. 5, 2023, 8:24 a.m.
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.
| WhittakerSmooth | R Documentation |
Whittaker Smoother
Description
penalized least squares algorithm for background fitting
Usage
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
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.