bread

<p>The data set is described in Bro (1998). The raw data consist of ratings of 10 
breads on 11 different attributes carried out by 8 raters. 
Note that the bread samples are pairwise replications: Each of the 5 different breads, 
which have a different salt content, was presented twice for rating.</p>

datasets

Implements the following approaches for multidimensional scaling (MDS) based on stress minimization using majorization (smacof): ratio/interval/ordinal/spline MDS on symmetric dissimilarity matrices, MDS with external constraints on the configuration, individual differences scaling (idioscal, indscal), MDS with spherical restrictions, and ratio/interval/ordinal/spline unfolding (circular restrictions, row-conditional). Various tools and extensions like jackknife MDS, bootstrap MDS, permutation tests, MDS biplots, gravity models, unidimensional scaling, drift vectors (asymmetric MDS), classical scaling, and Procrustes are implemented as well.

Patrick Mair

smacof

Multidimensional Scaling

Jan De Leeuw

Patrick J. F. Groenen

Ingwer Borg

bread function

<p>A list of length 8 with elements of class <code>"dist"</code>. The attributes are 
bread odor, yeast odor, off-flavor, color, moisture, dough, salt taste, sweet taste, yeast taste, 
other taste, and total taste.</p>

Format

Breakfast preferences — bread

Breakfast preferences

bread: Breakfast preferences

Description

Usage

Arguments

Format

References

Examples