| pwrLaw {astrochron} | R Documentation |
Generate power law (1/f) noise surrogates
Description
Generate power law (1/f) noise surrogates, following the algorithm of Timmer and Konig (1995).
Usage
pwrLaw(npts=1024,dt=1,mean=0,sdev=1,beta=2,fcut=0,nsim=1,genplot=T,verbose=T)
Arguments
npts |
number of data points for 1/f surrogate time series |
dt |
sampling interval |
mean |
mean value for 1/f surrogate series |
sdev |
standard deviation for 1/f surrogate series |
beta |
power law coefficient. Positive number will yield a negative slope. |
fcut |
frequency cutoff: below this frequency a plateau will be modeled. Set to zero (default) for no plateau. |
nsim |
Number of surrogate series to generate |
genplot |
generate summary plots (T or F) |
verbose |
verbose output (T or F) |
Details
These simulations use the random number generator of Matsumoto and Nishimura (1998). Power law noise series are generated following the algorithm of Timmer and Konig (1995).
References
M. Matsumoto, and T. Nishimura, (1998), Mersenne Twister: A 623-dimensionally equidistributed uniform pseudo-random number generator, ACM Transactions on Modeling and Computer Simulation, 8, 3-30.
J. Timmer and K. Konig (1995), On Generating Power Law Noise, Astronomy and Astrophysics: v. 300, p. 707-710.