Generates a time series using the Ikeda map

1 2 3 |

`start` |
a 2-dimensional numeric vector indicating the starting value for the time series. If the starting point is not specified, it is generated randomly. |

`a` |
The |

`b` |
The |

`c` |
The |

`k` |
The |

`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 ikeda system is shown. |

The Ikeda map is defined as follows:

*z[n+1] = a + b*z[n]*exp(ik-ic/( 1+ |z_[n-1]|^2 ) )*

The default selection for the *a*, *b*,
*c* and *k* parameters is known to produce a
deterministic chaotic time series.

a list with 2 vectors named *x* and *y* the
x-components and the y-components of the Ikeda map,
respectively.

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, logisticMap, lorenz,
rossler, cliffordMap, sinaiMap,
gaussMap
```

1 2 3 4 |

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.