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MacBehaviour (version 1.2.8)

experimentDesign: Step3: Generate the experimental design matrix.

Description

Defines the experiment setup based on the stimuli loaded.

Usage

experimentDesign(data, session = 1, randomItem = FALSE, randomEvent = FALSE)

Value

A data.frame with the designed structure for the experiment, including any repetitions and randomizations as specified. Each row corresponds to a single trial or instance in the experiment.And it will display the type of experiment with the materials you provide.

Arguments

data

A data frame that has been processed through the 'loadData' function, containing the experimental items and their attributes.

session

An integer indicating how many sessions (the whole set of trials) should be run. Default is 1, meaning no repetition.

randomItem

A logical indicating whether the Item should be randomized. Default is FALSE, meaning trials will occur in the order provided.

randomEvent

A logical indicating whether the Event should be randomized. Default is FALSE, meaning trials will occur in the order provided.

Examples

Run this code

df <- data.frame(
Run = c(1,2),
Item = c(1,2),
Event= c(1,1),
Condition = c(1,2),
TargetPrompt = c("1","2")
)

ExperimentItem=loadData(df$Run,df$Item,df$Event,df$Condition,promptList = df$TargetPrompt)

Design=experimentDesign(ExperimentItem,session=1,randomItem=TRUE)

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