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

## Value

Dataframe with eye-tracking data