Simulate a Partner Time Series

This function simulates a partner's time series based on an input signal and regulation parameters.

Usage

simulatePartner(
  x.signal,
  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

x.signal

Numeric vector representing the input signal.

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 (default: 1).

sd

Standard deviation (default: 2).

trend

Linear trend to add (default: 0).

sr.ratio

Ratio of signal to noise (default: 0.95).

Value

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