Simulate a Dyadic Time Series — simulateDyad • tvdsm

This function simulates a dyadic time series for two interacting persons using self- and co-regulation parameters.

Usage

simulateDyad(
  duration = 600,
  fs = 32,
  selfReg.coef = 0.5,
  coReg.coef = 1,
  interaction.coef = 0,
  lag = 0,
  mu = 1,
  sd = 2,
  trend = 0,
  sr.ratio = 0.95
)

Arguments

duration: Duration of simulation in seconds (default: 600).
fs: Sampling frequency (default: 32).
selfReg.coef: Self-regulation coefficient (default: 0.5).
coReg.coef: Co-regulation coefficient (default: 1.0).
interaction.coef: Interaction coefficient (default: 0).
lag: Lag to apply (default: 0).
mu: Mean value for baseline signal (default: 1).
sd: Standard deviation for noise (default: 2).
trend: Linear trend added to the signal (default: 0).
sr.ratio: Ratio of signal to noise (default: 0.95).

Value

A list with elements: plt (ggplot object), data (simulated data frame), and eq (model equation).