nonlinearTseries: logisticMap – R documentation

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logisticMap

Logistic map

Generates a time series using the logistic map.

logisticMap(
  r = 4,
  start = runif(n = 1, min = 0, max = 1),
  n.sample = 5000,
  n.transient = 500,
  do.plot = TRUE
)

`r`	The r parameter. Default: 4
`start`	A numeric value indicating the starting value for the time series. If the starting point is not specified, it is generated randomly.
`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)

## Not run: 
log.map=logisticMap(n.sample = 1000, n.transient=10,do.plot=TRUE)

## End(Not run)

Nonlinear Time Series Analysis

v0.2.10

GPL-3

Authors

Constantino A. Garcia [aut, cre], Gunther Sawitzki [ctb]

Initial release

2020-6-10