Cocktail_Cum


    Paired comparison of 7 beverages by 112 subjects according their preferences


Different tools for describing and analysing paired comparison data are presented. Main methods are estimation of products scores according Bradley Terry Luce model. A segmentation of the individual could be conducted on the basis of a mixture distribution approach. The number of classes can be tested by the use of Monte Carlo simulations. This package deals also with multi-criteria paired comparison data.

Michel Semenou

CompR

Paired Comparison Data Analysis

Cocktail_Cum function

A matrix resulting of the cumulative paired comparison results of 7 products by 112 consumers. The (i,j) element correponds to the number of time product i was prefered to product j among all comparisons between these two products.

Cocktail_Cum: Beverages paired comparison

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