sim.powerlaw: Simulate a power law time series
In krehfeld/nest: Non-equally spaced time series analysis
Description
Usage
Arguments
Note
Description
Simulate a power-law time series
Usage
1
sim.powerlaw(beta, N)
Arguments
beta
power-law exponent
N
length of the time series
Note
The Filter used in the power law generation is currently unscaled. To force Variance(X)=1, a scaling is performed on the final timeseries. This is problematic for short time series and if the distribution of variances is of interest. A workaround is to generate a very long powerlaw series (with overall variance=1) and cut it into many shorter ones. x<-matrix(sim.powerlaw(betas[b],Nsur*Nlength),ncol=Nsur,nrow=Nlength)
krehfeld/nest documentation built on May 28, 2019, 12:33 a.m.
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Description Usage Arguments Note
Description
Simulate a power-law time series
Usage
1 | sim.powerlaw(beta, N)
|
Arguments
beta |
power-law exponent |
N |
length of the time series |
Note
The Filter used in the power law generation is currently unscaled. To force Variance(X)=1, a scaling is performed on the final timeseries. This is problematic for short time series and if the distribution of variances is of interest. A workaround is to generate a very long powerlaw series (with overall variance=1) and cut it into many shorter ones. x<-matrix(sim.powerlaw(betas[b],Nsur*Nlength),ncol=Nsur,nrow=Nlength)
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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