growth_ac_cond: Examples of conditional dynamical growth models (maps)

In FredHasselman/casnet: A Toolbox for Studying Complex Adaptive Systems and Networks

Examples of conditional dynamical growth models (maps)

Description

Conditional Autocatlytic Growth: Iterating differential equations (maps)

Usage

growth_ac_cond(
  Y0 = 0.01,
  r = 0.1,
  k = 2,
  cond = cbind.data.frame(Y = 0.2, par = "r", val = 2),
  N = 100
)

Arguments

Y0	Initial value
r	Growth rate parameter
k	Carrying capacity
cond	Conditional rules passed as a data.frame of the form: cbind.data.frame(Y = ..., par = ..., val = ...)
N	Length of the time series

Author(s)

Fred Hasselman

See Also

Other autocatalytic growth functions: growth_ac()

Examples

# Plot with the default settings
library(lattice)
xyplot(growth_ac_cond())

# The function can take a set of conditional rules
# and apply them sequentially during the iterations.
# The conditional rules are passed as a `data.frame`

(cond <- cbind.data.frame(Y = c(0.2, 0.6), par = c("r", "r"), val = c(0.5, 0.1)))
xyplot(growth_ac_cond(cond=cond))

# Combine a change of `r` and a change of `k`

(cond <- cbind.data.frame(Y = c(0.2, 1.99), par = c("r", "k"), val = c(0.5, 3)))
xyplot(growth_ac_cond(cond=cond))

# A fantasy growth process

cond <- cbind.data.frame(Y = c(0.1, 1.99, 1.999, 2.5, 2.9),
par = c("r", "k", "r", "r","k"),
val = c(0.3, 3, 0.9, 0.1, 1.3))

xyplot(growth_ac_cond(cond=cond))

FredHasselman/casnet documentation built on April 20, 2024, 3:05 p.m.