Simulate simple Gazepoint cluster time-course data

Generate synthetic two-condition within-subject time-course data for examples and tests. The simulation is intentionally simple and should not be treated as a realistic model of gaze, pupil, or biometric time-series data.

Usage

simulate_gazepoint_cluster_timecourse_data(
  n_subjects = 20,
  n_time_bins = 60,
  conditions = c("control", "treatment"),
  effect_start = 25,
  effect_end = 40,
  effect_size = 0.5,
  subject_sd = 0.3,
  noise_sd = 0.4,
  seed = NULL
)

Arguments

n_subjects

Number of subjects.

n_time_bins

Number of time bins.

conditions

Two condition labels.

effect_start

First time bin with an injected treatment effect.

effect_end

Last time bin with an injected treatment effect.

effect_size

Added treatment effect inside the effect window.

subject_sd

Standard deviation of subject random shifts.

noise_sd

Standard deviation of observation noise.

seed

Optional random seed.

Value

A long-format data frame.