simulate_eyetrackingr_data function

Simulate an eyetrackingR dataset

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,
  ...
)

Arguments

• num_participants: Number of participants

• num_items_per_condition: Number of trials per-subject per-condition.

• trial_length: How long is the trial (in ms)?

• pref: 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.

• pref_window: 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

• noisy_window: Vector of length two, specifying start and end of time-window in which there was substantial trackloss during the trial.

• ...: Ignored

Returns

Dataframe with eye-tracking data