This function creates an eyetrackingR dataset (i.e., already run through make_eyetrackingr_data). This can be helpful for examining the false-alarm and sensitivity of analysis-techniques via simulations.
simulate_eyetrackingr_data( num_participants = 16, num_items_per_condition = 6, trial_length = 5000, pref = 0.5, pref_window = c(1, trial_length), noisy_window = NULL, ... )
Number of participants
Number of trials per-subject per-condition.
How long is the trial (in ms)?
Their preference between the two AOIs in the "high" condition, where 1 is 100 preference). In the "low" condition, their preference between the two AOIs is equal, so default is no effect of condition.
Vector of length two, specifying start and end of time-window in
which participants expressed the preference specified in
pref. Default is the entire trial
Vector of length two, specifying start and end of time-window in which there was substantial trackloss during the trial.
Dataframe with eye-tracking data