balanced.pcdesign {eba}R Documentation

Balanced Paired-Comparison Design

Description

Creates a (completely) balanced paired-comparison design.

Usage

balanced.pcdesign(nstimuli)

Arguments

nstimuli number of stimuli in the paired-comparison design

Details

When nstimuli is odd, the presentation order is completely balanced, that is any given stimulus appears an equal number of times as the first and second member of a pair. When nstimuli is even, the presentation order is balanced as much as possible.

In order to balance the within-pair presentation order over a sample of subjects, subjects should be equally assigned to listA and listB.

Pairs should be re-randomized for each subject.

Value

pairs a character array holding the balanced pairs; see David (1988) for details how it is constructed
listA the vector pairs in the original within-pair order
listB the vector of pairs in the inverted within-pair order

References

David, H. (1988). The method of paired comparisons. London: Griffin.

See Also

pcX, eba.

Examples

## Create balanced design for 6 stimuli
bp <- balanced.pcdesign(6)

## Replicate each with-pair order 10 times and re-randomize
cbind(replicate(10, sample(bp$listA)), replicate(10, sample(bp$listB)))

[Package eba version 1.5-2 Index]