logistic_map_twospecies_unidir_lagged: Time series for a two-species model system. Unidirectional...

In kahaaga/chaoticmaps:

Description

Source: Ye, H. et al. (2015). Distinguishing time-delayed causal interactions using convergent cross mapping. Sci. Rep. 5, 14750; doi: 10.1038/srep14750 (2015). Default values are as in the original paper.

Usage

logistic_map_twospecies_unidir_lagged(n = 3000, xi = sample(seq(0.01, 0.99,
  0.001), 1), yi = sample(seq(0.01, 0.99, 0.001), 1), Rx = sample(seq(3.57,
  3.82, 0.001), size = 1), Rxy = sample(seq(0.7, 0.9, 0.001), size = 1),
  Ry = sample(seq(3.57, 3.82, 0.001), size = 1), time.delay = 0,
  add.timestep = FALSE, plot = FALSE)

Arguments

n	The number of time steps that will be generated.
xi	Initial value of time series x.
yi	Initial value of time series y.
Rx	Parameter controlling the influence of x at timestep i on itself at timestep i+1
Rxy	Parameter controlling the influence of x at timestep i on y at timestep i+delay
Ry	Parameter controlling the influence of y at timestep i on itself at timestep i+1
add.timestep	Whether or not to add a timestep column to the returned data frame. Defaults to FALSE.
plot	Whether to plot the dataset as a scatterplot matrix. Defaults to FALSE
delay	The delay of the effect of x on y

Value

A dataframe containing columns time series for x and y (and optionally "t", a timestep column).

kahaaga/chaoticmaps documentation built on May 31, 2019, 1:16 p.m.