stratifiedItersplits {rapidsplithalf}

stratifiedItersplits

Description

Generate stratified splits for a single participant

Usage

stratifiedItersplits(splits, groupsizes)

Arguments

splits

Number of iterations.

groupsizes

An integer vector of how many RTs per group need to be stratified.

Details

This equally splits what can be equally split within groups. Then it randomly splits all the leftovers to ensure near-equal split sizes. This function is moreso used internally, but you can use it if you know what you are doing.

Value

A matrix with zeroes and ones. Each column is a random split.

Examples

# We will create splits stratified by stimulus for a single participant
data(foodAAT)
currdata<-foodAAT[foodAAT$subjectid==3,]
currdata$stratfactor<-interaction(currdata$is_pull,currdata$is_target,currdata$stimid)
currdata<-currdata[order(currdata$stratfactor),]
groupsizes<-rle(as.character(currdata$stratfactor))$lengths

mysplits<-stratifiedItersplits(splits=1000,groupsizes=groupsizes)

# Now the data can be split with the values from any column.
half1<-currdata[mysplits[,1]==1,]
half2<-currdata[mysplits[,1]==0,]

# Or the split objects can be used as masks for the aggregation functions in this package
meansByMask(x=currdata$RT,mask=mysplits==1)