Description Usage Arguments Details Value Note Author(s) References See Also Examples
Generates a time series using the logistic map.
1 2 3 |
start |
A numeric value indicating the starting value for the time series. If the starting point is not specified, it is generated randomly. |
r |
The r parameter. Default: 4 |
n.sample |
Length of the generated time series. Default: 5000 samples. |
n.transient |
Number of transient samples that will be discarded. Default: 500 samples. |
do.plot |
Logical value. If TRUE (default value), a plot of the generated logistic system is shown. |
The logistic map is defined as follows:
x[n] = r * x[n-1] * (1 - x[n-1])
The default selection for the r parameter is known to produce a deterministic chaotic time series.
A vector containing the values of the time series that has been generated.
Some initial values may lead to an unstable system that will tend to infinity.
Constantino A. Garcia
Strogatz, S.: Nonlinear dynamics and chaos: with applications to physics, biology, chemistry and engineering (Studies in Nonlinearity)
henon, lorenz, rossler,
ikedaMap, cliffordMap, sinaiMap,
gaussMap
1 2 3 4 | ## Not run:
log.map=logisticMap(n.sample = 1000, n.transient=10,do.plot=TRUE)
## End(Not run)
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