breakfast

42 individuals were asked to order 15 breakfast items due to their preference.


datasets

Provides the following approaches for multidimensional scaling (MDS) based on stress minimization by means of majorization (smacof): basic MDS on symmetric dissimilarity matrices,
MDS with external constraints on the configuration, individual difference scaling (idioscal, indscal, and friends), MDS with spherical restrictions, and unfolding. The MDS type can be ratio, interval, ordinal, and monotone splines.
Various tools and extensions like jackknife MDS, permutation tests, gravity models, inverse MDS, unidimensional scaling, classical scaling, and Procrustes.

Patrick Mair

smacof

Multidimensional Scaling

breakfast function

Data frame with students in the rows and breakfast items in the columns. toast: toast pop-up butoast: buttered toast engmuff: English muffin and margarine jdonut: jelly donut cintoast: cinnamon toast bluemuff: blueberry muffin and margarine hrolls: hard rolls and butter toastmarm: toast and marmalade butoastj: buttered toast and jelly toastmarg: toast and margarine cinbun: cinnamon bun danpastry: Danish pastry gdonut: glazed donut cofcake: coffee cake cornmuff: corn muffin and butter 

breakfast: Breakfast preferences

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Examples