We inherited a experimental design which we want to evaluate. In reading the materials by Warren Kuhfeld at http://support.sas.com/resources/papers/tnote/tnote_marketresearch.html on the various SAS macros, it does seem that SAS would be appropriate for evaluating designs with something like the %ChoicEff macro. It seems this is used after generating designs to evaluate then, and we just want to enter our own design and get the characteristics of this (such at the efficincy scores). Entering the design and following the examples from his guides, I would hope something like the following would work.: --------------------------------------------------------------------------- data final; input f1 f2 x1 x2 x3 x4 x5; datalines; 2 2 0 0 1 0 1 2 2 0 0 2 2 1 2 2 0 1 3 3 0 2 2 0 2 0 1 0 2 2 1 0 0 3 1 2 2 1 0 3 1 1 2 2 1 1 2 0 0 2 2 1 2 1 2 0 2 2 3 0 0 0 0 2 2 3 0 3 2 0 2 2 3 1 1 1 1 2 2 3 2 2 3 1 2 2 4 0 1 3 0 2 2 4 0 2 1 0 2 2 4 1 0 2 1 2 2 4 2 3 0 1 ; proc print data=final(obs=16); run; %choiceff(data=final, /* candidate set of choice sets */ init=design, /* initial design */ initvars=x1-x5, /* factors in the initial design */ intiter=0, /* evaluate without internal iterations */ model=class(x1-x5 / sta), /* model with stdzd orthogonal coding */ nsets=6, /* 6 choice sets */ nalts=3, /* 3 alternatives per set */ options=relative, /* display relative D-efficiency */ beta=zero) /* assumed beta vector, Ho: b=0 */ --------------------------------------------------------------------------- However, we are getting errors for this and variations on it. Thanks for any help! Tim
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