prep_ReAL: Preparing Data for ReAL Model estimation

In AdrianJusepeitis/prepMPT: Prepare IAT data to estimate MPT models

Description

This function allows you to prepare IAT data for the application of functions estimating ReAL model parameters.

Usage

prep_ReAL(data, Subject, TaskSwitch = NULL, Switch = 1,
  Repetition = 0, Trial = NULL, Compatibility, Compatible = 1,
  Incompatible = 2, StimulusCat, Correct, TargetCat1, TargetCat2,
  AttributeCat1, AttributeCat2)

Arguments

data	Dataframe containing all relevant columns (Subject, TaskSwitch, Trial, Compatibility, StimulusCat and Correct).
Subject	Name of the column containing the subject id.
TaskSwitch	Name of the column containing infomation about task switching.
Switch	Level of TaskSwitch coding task switchung.
Repetition	Level of TaskSwitch coding task repetition.
Trial	Name of the column containing the trial number.
Compatibility	Name of the column containing the compatibility of current key mapping.
Compatible	Level of Compatibility coding a compatible mapping.
Incompatible	Level of Compatibility coding an incompatible mapping.
StimulusCat	Name of the column containing the category of the current stimulus.
Correct	Name of the column containing accuracy of responses (0 = error, 1 = correct).
TargetCat1	Level of StimulusCat coding the first target category (i.e, flower)
TargetCat2	Level of StimulusCat coding the second target category (i.e, insect)
AttributeCat1	Level of StimulusCat coding the first attribute category (i.e, pleasant)
AttributeCat2	Level of StimulusCat coding the second attribute category (i.e, unpleasant)

Examples

prep_ReAL()

AdrianJusepeitis/prepMPT documentation built on Aug. 21, 2021, 9:45 a.m.