Description Usage Arguments Value Author(s)
Generate artificial data for addm model fits
1 2 3 4 | addm_generate_artificial(set.size = 2, possible.valuations = c(0, 1, 2, 3),
model.parameters = c(0, 0.002, 0.07, 0.5), nr.attributes = 1,
nr.reps = 2000, timestep = 10, rtbinsize = 100, nr.conditions = 30,
model.type = "standard")
|
set.size |
Indicates the number of items that are allowed. |
possible.valuations |
Vector storing valuations that single items can hold in a choice set. |
model.parameters |
vector of parameters that will be used by the model to generate artificial choice/rt data |
nr.attributes |
integer providing the number of attributes that will be assigned to each item in the artificial choice set |
nr.reps |
An integer number that tells the function how many simulation runs to use. |
timestep |
An integer number that provides the timestep-size that is used in the simulations (in ms). |
rtbinsize |
integer providing the binsize that reaction times will be sorted into |
nr.conditions |
integer that provides the number of unique trial conditions to be generated |
model.type |
A string that indicates which version of the model to run. 'standard' or 'memnoise' when memory effects shall be allowed. |
fixation.model |
A string that indicates which fixation model will be utilized for simulations. 'random' for random fixations (implemented) 'fixedpath' for following a predetermined fixation path with fixed durations (implemented). |
core.parameters |
Vector that provide parameters used to generate artificial data from drift diffusion process. (drift,theta,sd,non deicision time) |
returns a list of three components. A 'data.table' that stores all unique choice set conditions. A 'data.table' that stores eyetracking.data adjusted to be usable for by trial fits. A 'data.table' that stores by trial choice data. An id variable links all three data.tables.
addm_generate_artificial
Returns artificial data that can be used for test addm model fits
Alexander Fengler, alexanderfengler@gmx.de
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