PcaProj-class

getQuan,PcaProj-method

Holds the results of an approximation of the PP-estimators for PCA by a fast and simple algorithm: Croux and Ruiz-Gazen (2005) algorithm.

multivariate

robust

Robust Location and Scatter Estimation and Robust
Multivariate Analysis with High Breakdown Point:
principal component analysis (Filzmoser and Todorov (2013), <doi:10.1016/j.ins.2012.10.017>),
linear and quadratic discriminant analysis (Todorov and Pires (2007)),
multivariate tests (Todorov and Filzmoser (2010) <doi:10.1016/j.csda.2009.08.015>),
outlier detection (Todorov et al. (2010) <doi:10.1007/s11634-010-0075-2>).
See also Todorov and Filzmoser (2009) <urn:isbn:978-3838108148>,
Todorov and Filzmoser (2010) <doi:10.18637/jss.v032.i03> and
Boudt et al. (2019) <doi:10.1007/s11222-019-09869-x>.

Valentin Todorov

rrcov

Scalable Robust Estimators with High Breakdown Point

PcaProj-class function

Objects can be created by calls of the form <code>new("PcaProj", ...)</code> but the
 usual way of creating <code>PcaProj</code> objects is a call to the function
 <code>PcaProj()</code> which serves as a constructor.

Objects from the Class

<dl>
 <dt><code>call</code>, <code>center</code>, <code>scale</code>, <code>rank</code>, <code>loadings</code>,
 <code>eigenvalues</code>, <code>scores</code>, <code>k</code>,
 <code>sd</code>, <code>od</code>, <code>cutoff.sd</code>, <code>cutoff.od</code>,
 <code>flag</code>, <code>n.obs</code>:</dt>
<dd>from the <code>"Pca"</code> class.</dd> 
</dl>

Slots

Class <code>"PcaRobust"</code>, directly.
 Class <code>"Pca"</code>, by class <code>"PcaRobust"</code>, distance 2.

Extends

<dl>
 <dt>getQuan</dt>
<dd><code>signature(obj = "PcaProj")</code>: ...</dd> 
</dl>

Methods

Valentin Todorov <a href="/link/valentin.todorov%40chello.at?package=rrcov&version=1.7-6" data-mini-rdoc="rrcov::valentin.todorov@chello.at">valentin.todorov@chello.at</a>

Author

Class "PcaProj" - Robust PCA using PP - Croux and Ruiz-Gazen (2005) algorithm — PcaProj-class

<dl>
 <dt><code>call</code>, <code>center</code>, <code>scale</code>, <code>rank</code>, <code>loadings</code>,
 <code>eigenvalues</code>, <code>scores</code>, <code>k</code>,
 <code>sd</code>, <code>od</code>, <code>cutoff.sd</code>, <code>cutoff.od</code>,
 <code>flag</code>, <code>n.obs</code>:</dt>
<dd>from the <code>"Pca"</code> class.</dd>

 
</dl>

<dl>
 <dt>getQuan</dt>
<dd><code>signature(obj = "PcaProj")</code>: ...</dd>

 
</dl>

Valentin Todorov <a href='mailto:valentin.todorov@chello.at'>valentin.todorov@chello.at</a>

PcaProj-class: Class "PcaProj" - Robust PCA using PP - Croux and Ruiz-Gazen (2005) algorithm

Description

Arguments

Objects from the Class

Slots

Extends

Methods

Author

References

See Also

Examples