Description Usage Arguments Value
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.
1 2 3 4 5 | 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)
|
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 |
A dataframe containing columns time series for x and y (and optionally "t", a timestep column).
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