cliffordMap: Clifford map

In nonlinearTseries: Nonlinear Time Series Analysis

Clifford map

Description

Generates a 2-dimensional time series using the Clifford map.

Usage

cliffordMap(
  a = -1.4,
  b = 1.6,
  cc = 1,
  d = 0.7,
  start = runif(2),
  n.sample = 5000,
  n.transient = 500,
  do.plot = deprecated()
)

Arguments

a	The a parameter. Default: -1.4
b	The b parameter. Default: 1.6
cc	The c parameter. Default: 1.0
d	The d parameter. Default: 0.7
start	a 2-dimensional vector indicating the starting values for the x and y Clifford coordinates. 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, a plot of the generated Clifford system is shown. Before version 0.2.11, default value was TRUE; versions 0.2.11 and later use FALSE as default.

Details

The Clifford map is defined as follows:

x[n+1] = sin(a*y[n]) + c*cos(a*x[n])

y[n+1] = sin(b*x[n] + d*cos(b*y[n])

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

Value

A list with two vectors named x and y containing the x-components and the y-components of the Clifford map, respectively.

Note

Some initial values may lead to an unstable system that will tend to infinity.

Author(s)

Constantino A. Garcia

See Also

henon, logisticMap, lorenz, rossler, ikedaMap, sinaiMap, gaussMap

Examples

## Not run: 
clifford.map=cliffordMap(n.sample = 1000, n.transient=10,do.plot=TRUE)
# accessing the x coordinate and plotting it
plot(ts(clifford.map$x))
## End(Not run)

nonlinearTseries documentation built on March 31, 2022, 1:07 a.m.