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
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         McCormick Road    Charlottesville, VA 22903
Office:    B011    +1-434-982-4729
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WWW:    http://www.people.virginia.edu/~mk9y/



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