logistic_map_twospecies_unidir: Time series for a two-species (logistic) model system....
In kahaaga/chaoticmaps:

Description Usage Arguments Value

Source: Sugihara, G., May, R., Ye, H., Hsieh, C. H., Deyle, E., Fogarty, M., & Munch, S. (2012). Detecting causality in complex ecosystems. Science, 338(6106), 496-500.

1 2	logistic_map_twospecies_unidir(n = 1000, xi = 0.2, yi = 0.4, Rx = 3.7, Ry = 3.7, Bxy = 0, Byx = 0.32, add.timestep = FALSE, plot = FALSE)

`n`	The number of time steps that will be generated.
`xi`	The initial value for x
`yi`	The initival value for y
`Rx`	The value of the parameter Rx
`Ry`	The value of the parameter Ry
`Bxy`	Parameter controlling the sensitivity of x to changes in y.
`Byx`	Parameter controlling the sensitivity of y to changes in x.
`n`	Number of points in the time series.

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

Defaults values are as in the original paper for figure 2A. Figure 2B in the original paper uses 1000 different parameterizations with R and B chosen on the intervals [3.6, 4.0] and [0, 0.4], respectively.

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