gen_smooth: Generate simulated data for smoothing models
In iprior: Regression Modelling using I-Priors
Description
Usage
Arguments
Value
Examples
Description
Generate simulated data for smoothing models
Usage
1
2
gen_smooth(n = 150, xlim = c(0.2, 4.6), x.jitter = 0.65,
seed = NULL)
Arguments
n
Sample size.
xlim
Limits of the X variables to generate from.
x.jitter
A small amount of jitter is added to the X variables
generated from a normal distribution with mean zero and standard deviation
equal to x.jitter.
seed
(Optional) Random seed.
Value
A dataframe containing the response variable y and
unidimensional explanatory variable X.
Examples
1
gen_smooth(10)
iprior documentation built on May 2, 2019, 3:21 a.m.
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Description Usage Arguments Value Examples
Description
Generate simulated data for smoothing models
Usage
1 2 | gen_smooth(n = 150, xlim = c(0.2, 4.6), x.jitter = 0.65,
seed = NULL)
|
Arguments
n |
Sample size. |
xlim |
Limits of the |
x.jitter |
A small amount of jitter is added to the |
seed |
(Optional) Random seed. |
Value
A dataframe containing the response variable y and
unidimensional explanatory variable X.
Examples
1 | gen_smooth(10)
|
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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