Dear r-helpers,
I am looking at a designed experiment in which one predictor variable
has 5 levels (0, ..., 4) and the other has 6 levels (1.1, ..., 1.6),
with 33 observations per cell. This design was given to 13 subjects.
0 1 2 3 4
1.1 32 33 0 0 0
1.2 33 33 33 0 0
1.3 33 33 33 33 0
1.4 0 0 33 33 33
1.5 0 0 0 33 33
1.6 0 0 0 0 33
The reason for this design is that low values of one predictor
combined with high values of the other produce floor or ceiling
effects at any reasonable sample size.
Can anyone point me to a theoretical discussion of the analysis of
such data, and tools in R to use?
_____________________________
Professor Michael Kubovy
University of Virginia
Department of Psychology
USPS: P.O.Box 400400 Charlottesville, VA 22904-4400
Parcels: Room 102 Gilmer Hall
McCormick Road Charlottesville, VA 22903
Office: B011 +1-434-982-4729
Lab: B019 +1-434-982-4751
Fax: +1-434-982-4766
WWW: http://www.people.virginia.edu/~mk9y/
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