FaceExp

FaceScale

<p>Dissimilarity matrix of 13 facial expressions (Abelson &amp; Sermat, 1962). The external scales are taken from Engen et al. (1958) reflecting the following three perceptual dimensions: pleasant-unpleasant (PU), attention-rejection (AR), and tension-sleep (TS).</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

FaceExp function

<p>Symmetric dissimilarity matrix and data frame with 3 perceptual dimensions</p>

Format

Facial Expression Data — FaceExp

Facial Expression Data

FaceExp: Facial Expression Data

Description

Usage

Arguments

Format

References

Examples