SimTentFn: Simulate tent function
In nwfscNLTS: Non-linear time series
Description
Usage
Arguments
Value
Author(s)
Examples
Description
This simulates time series data from a tent function, a simple functionm that generates 'nonlinear' dynamics
Usage
1
SimTentFn(Nobs, S)
Arguments
Nobs
Time series length
S
Tent height (producing non-linear dynamics given S>1.75)
Value
Generates a vector of observations
Author(s)
James Thorson
Examples
1
2
3
4
5
# Time series length
Nobs = 100
# Generate tent function timeseries
Y = SimTentFn(Nobs=Nobs, S=1.75)
nwfscNLTS documentation built on May 2, 2019, 4:31 p.m.
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Description Usage Arguments Value Author(s) Examples
Description
This simulates time series data from a tent function, a simple functionm that generates 'nonlinear' dynamics
Usage
1 | SimTentFn(Nobs, S)
|
Arguments
Nobs |
Time series length |
S |
Tent height (producing non-linear dynamics given S>1.75) |
Value
Generates a vector of observations
Author(s)
James Thorson
Examples
1 2 3 4 5 | # Time series length
Nobs = 100
# Generate tent function timeseries
Y = SimTentFn(Nobs=Nobs, S=1.75)
|
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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