Description Usage Arguments Value Author(s)
Simulate aDDM process by unique trial (>2 items, allow memory effects)
aevacc_by_trial_memnoise
1 2 | aevacc_by_trial_memnoise(parameters, maxdur, mindur, cur_decision, update,
nr_attributes, fixpos, fixdur, nr_reps, timestep)
|
parameters |
vector that stores the parameters used for the simulations (Order: [non.decision.time, drift, sd, theta, gamma, scalar_items_seen_drift, scala_items_seen_noise]) |
maxdur |
numeric variable that supplies the maximum reaction time considered a success in simulations |
mindur |
numeric variable that supplies the minimum reaction time considered a succes in simulations |
cur_decision |
numeric variable that provides the empirical decision taken in trial |
update |
Vector that stores the item valuations for the trial conditon simulated |
fixpos |
Vector that stores the locations for a supplied fixed fixation pathway |
fixdur |
Vector that stores the fixation durations for a supplied fixed fixation pathway |
nr_reps |
number of repitions (simulation runs) |
timestep |
timestep in ms associated with each step in the drift diffusion process |
items_seen_bias |
Numeric Variable storing the relative amount of drift that unseen items receive |
items_seen_noise_bias |
Numeric Variable storing the relative noise sd that unseen items receive |
numeric variable that provides a success count (runs that predicted a reaction time in the correct rt-bin and simultaneously the correct decision)
Alexander Fengler, alexanderfengler@gmx.de
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