balanced.pcdesign: Balanced Paired-Comparison Design
In eba: Elimination-by-Aspects Models

Description Usage Arguments Details Value References See Also Examples

Creates a (completely) balanced paired-comparison design.

1	balanced.pcdesign(nstimuli)

nstimuli

number of stimuli in the paired-comparison design

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. Subjects should be equally assigned to listA and listB for the purpose of balancing the within-pair presentation order across a sample of subjects. Pairs should be re-randomized for each subject. See David (1988) for details.

`pairs`	a character array holding the balanced pairs
`listA`	the vector pairs in the original within-pair order
`listB`	the vector of pairs in the inverted within-pair order

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

pcX, eba.

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

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