[R] Unbalanced design help

From: Michael Kubovy <kubovy_at_virginia.edu>
Date: Sat 27 Jan 2007 - 15:22:04 GMT


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
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WWW: http://www.people.virginia.edu/~mk9y/

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