metafolio (version 0.1.0)

generate_env_ts: Create an environmental time series.

Description

Generate various types of environmental time series.

Usage

generate_env_ts(n_t, type = c("sine", "arma", "regime", "linear",
  "linear_arma", "constant"), sine_params = list(amplitude = 1, ang_frequency
  = 0.2, phase = 0, mean_value = 0, slope = 0, sigma_env = 0.02),
  arma_params = list(mean_value = 0, sigma_env = 0.5, ar = 0.4, ma = 0),
  regime_params = list(break_pts = c(25, 75), break_vals = c(-1, 0, 1)),
  linear_params = list(min_value = -1, max_value = 1, sigma_env = 0.1, start_t
  = 1), linear_arma_params = list(min_value = -1, max_value = 1, sigma_env =
  0.1, start_t = 1, ar = 0.4, ma = 0), constant_params = list(value = 0))

Arguments

n_t

Length of time series.

type

Type of time series to produce.

sine_params

Parameters controlling sine wave time series.

arma_params

Parameters controlling ARMA time series.

regime_params

Parameters controlling regime-shift time series.

linear_params

Parameters controlling warming or cooling time series. Minimum environmental value, maximum environmental value, environmental standard deviation, and the year to start the linear trend (useful if you're going to throw out the early years as burn in).

linear_arma_params

A combination of arma_params and linear_params.

constant_params

Parameter controlling constant time series.

Examples

# NOT RUN {
types <- c("sine", "arma", "regime", "linear", "linear_arma", "constant")
x <- list()
for(i in 1:6) x[[i]] <- generate_env_ts(n_t = 100, type = types[i])
op <- par(mfrow = c(5, 1), mar = c(3,3,1,0), cex = 0.7)
for(i in 1:6) plot(x[[i]], type = "o", main = types[i])
par(op)
# }