Cocktail


    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 function

A <code>DataPairComp</code> class object with the following elements: <code>Cons</code> : corresponding to the label of consummers (default : Number of consummers) <code>Crit</code> : name of the different criteria contained <code>Prod</code> : names of the different products (default : number of the product) <code>Paircomp</code> : <code>list</code> of number of criteria elements each corresponding to the results of paired comparisons performed by the consummers.

Cocktail: Beverages paired comparison

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