affine.trans

Function for transformations of the form \(Ax + b\) or \(A^{1/2}x + b\)

 multivariate

Multivariate tests, estimates and methods based on the identity score, spatial sign score and spatial rank score are provided. The methods include one and c-sample problems, shape estimation and testing, linear regression and principal components. The methodology is described in Oja (2010) <doi:10.1007/978-1-4419-0468-3> and Nordhausen and Oja (2011) <doi:10.18637/jss.v043.i05>.

Klaus Nordhausen

Multivariate Nonparametric Methods. An Approach Based on Spatial
Signs and Ranks

Jyrki Mottonen

Hannu Oja

affine.trans function

<dl> <dt>X</dt>
<dd>a numeric data frame or matrix with p columns.</dd> <dt>A</dt>
<dd>full rank p times p matrix.</dd> <dt>b</dt>
<dd>numeric vector of length p.</dd> <dt>A.sqrt</dt>
<dd>logical. If <code>TRUE</code> the symmetric square root of A will be used.</dd> <dt>na.action</dt>
<dd>a function which indicates what should happen when the data
 contain 'NA's. Default is to fail.</dd></dl>

Arguments

Author

Function For Affine Data Transformation — affine.trans

<dl>

 <dt>X</dt>
<dd>a numeric data frame or matrix with p columns.</dd>

 <dt>A</dt>
<dd>full rank p times p matrix.</dd>

 <dt>b</dt>
<dd>numeric vector of length p.</dd>

 <dt>A.sqrt</dt>
<dd>logical. If <code>TRUE</code> the symmetric square root of A will be used.</dd>

 <dt>na.action</dt>
<dd>a function which indicates what should happen when the data
 contain 'NA's. Default is to fail.</dd>

</dl>

affine.trans: Function For Affine Data Transformation

Description

Usage

Value

Arguments

Author

Examples