randomstress

Creates random dissimilarity matrices (n objects), fits an MDS, and returns the stress values 
of each MDS fit.

models

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

randomstress function

<dl> <dt>n</dt>
<dd>Number of objects</dd> <dt>ndim</dt>
<dd>Number of dimensions for MDS</dd> <dt>nrep</dt>
<dd>Number of random samples</dd> <dt>type</dt>
<dd>MDS type</dd></dl>

Arguments

Stress Calculation for Random Dissimilarities — randomstress

<dl>

 <dt>n</dt>
<dd>Number of objects</dd>

 <dt>ndim</dt>
<dd>Number of dimensions for MDS</dd>

 <dt>nrep</dt>
<dd>Number of random samples</dd>

 <dt>type</dt>
<dd>MDS type</dd>

</dl>

randomstress: Stress Calculation for Random Dissimilarities

Description

Usage

Value

Arguments

Details

References

Examples