nlsGaussianSum: Fit a nls model using multiple Gaussian functions.
In hafenr/MACode: Functions and code snippets for my master thesis
Description
Usage
Arguments
Value
View source: R/nlsGaussianSum.R
Description
Fit a nls model using multiple Gaussian functions.
Usage
1
2
nlsGaussianSum(y, x = seq_along(y), n = 1, spar = 0.5,
with.plot = FALSE, quiet = TRUE)
Arguments
y
A numeric vector of intensity/signal values.
x
An optional vector of x values.
n
The number of components to fit.
spar
A smoothness parameter that is passed to smooth.spline. Used to
presmooth the data.
with.plot
If diagnostic plots should be made.
Value
The fitted nls model.
hafenr/MACode documentation built on May 17, 2019, 2:24 p.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.
Description Usage Arguments Value
View source: R/nlsGaussianSum.R
Description
Fit a nls model using multiple Gaussian functions.
Usage
1 2 | nlsGaussianSum(y, x = seq_along(y), n = 1, spar = 0.5,
with.plot = FALSE, quiet = TRUE)
|
Arguments
y |
A numeric vector of intensity/signal values. |
x |
An optional vector of x values. |
n |
The number of components to fit. |
spar |
A smoothness parameter that is passed to smooth.spline. Used to presmooth the data. |
with.plot |
If diagnostic plots should be made. |
Value
The fitted nls model.
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.