logistic map

Usage

logistic_map(
  x,
  y = NULL,
  z = NULL,
  step = 15,
  alpha_x = 3.6,
  alpha_y = 3.72,
  alpha_z = 3.68,
  beta_xy = 0.05,
  beta_xz = 0.05,
  beta_yx = 0.2,
  beta_yz = 0.2,
  beta_zx = 0.35,
  beta_zy = 0.35,
  threshold = Inf,
  transient = 1
)

Arguments

x: value x.
y: (optional) value y.
z: (optional) value z.
step: (optional) number of simulation time steps.
alpha_x: (optional) growth parameter for x.
alpha_y: (optional) growth parameter for y.
alpha_z: (optional) growth parameter for y.
beta_xy: (optional) cross-inhibition from x to y.
beta_xz: (optional) cross-inhibition from x to z.
beta_yx: (optional) cross-inhibition from y to x.
beta_yz: (optional) cross-inhibition from y to z.
beta_zx: (optional) cross-inhibition from z to x.
beta_zy: (optional) cross-inhibition from z to y.
threshold: (optional) set to NaN if the absolute value exceeds this threshold.
transient: (optional) transients to be excluded from the results.

Value

A data.frame

Examples

logistic_map(x = 0.2)
#>            x
#> 1  0.5760000
#> 2  0.8792064
#> 3  0.3823290
#> 4  0.8501527
#> 5  0.4586150
#> 6  0.8938342
#> 7  0.3416206
#> 8  0.8096975
#> 9  0.5547149
#> 10 0.8892226
#> 11 0.3546207
#> 12 0.8239135
#> 13 0.5222881
#> 14 0.8982117
#> 15 0.3291389