transform

transPrep

Utility functions for optimal scaling calls (used internally)

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

transform function

<dl> <dt>Target</dt>
<dd>unconstrained vector of target values</dd> <dt>x</dt>
<dd>object of type optScal</dd> <dt>w</dt>
<dd>vector non-negative weights</dd> <dt>normq</dt>
<dd>sum of squares normalization</dd> <dt>trans</dt>
<dd>type of transformation</dd> <dt>spline.intKnots</dt>
<dd>interior spline knots</dd> <dt>spline.degree</dt>
<dd>spline degree</dd> <dt>missing</dt>
<dd>missing treatment</dd></dl>

Arguments

Internal Dissimilarity Transformation — transform

<dl>

 <dt>Target</dt>
<dd>unconstrained vector of target values</dd>

 <dt>x</dt>
<dd>object of type optScal</dd>

 <dt>w</dt>
<dd>vector non-negative weights</dd>

 <dt>normq</dt>
<dd>sum of squares normalization</dd>

 <dt>trans</dt>
<dd>type of transformation</dd>

 <dt>spline.intKnots</dt>
<dd>interior spline knots</dd>

 <dt>spline.degree</dt>
<dd>spline degree</dd>

 <dt>missing</dt>
<dd>missing treatment</dd>

</dl>

transform: Internal Dissimilarity Transformation

Description

Usage

Arguments