Another approach, not mentioned yet, is to use ace, in the acepack package. I have used this in an article (with Andy Gurmankin) coming out soon in Memory and Cognition, which I could send by email. It isn't obvious to me that this will (or that it won't) work with a fractional factorial design; my hunch is that it will work.
Jon On 06/07/05 06:18, Cela, Jimmy (IHG) wrote: I am trying to apply a conjoint analysis in order to determine the best profile that captures the most preferred combination of levels of given categorical factors. For this a set of factors is given and initially a fractional factorial design has to be produced as a subset of all possible factor levels combinations, sufficient to estimate the main effects utilities. Then the preference for each chosen combination is assessed via surveys on subjects (clients). Preferences are given by ranking profiles ordinally. Conjoint analysis then is applied on the preference data to estimate the utility values - or the "part worth" for each factor level. -- Jonathan Baron, Professor of Psychology, University of Pennsylvania Home page: http://www.sas.upenn.edu/~baron ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
