OutlierSign2-class

getCutoff,OutlierSign2-method

getDistance,OutlierSign2-method

Fast algorithm for identifying multivariate outliers in high-dimensional 
 and/or large datasets, using spatial signs, see Filzmoser, Maronna, and Werner (CSDA, 2007). 
 The computation of the distances is based on principal components.

multivariate

robust

classes

Robust multivariate methods for high dimensional data including
outlier detection (Filzmoser and Todorov (2013) <doi:10.1016/j.ins.2012.10.017>),
robust sparse PCA (Croux et al. (2013) <doi:10.1080/00401706.2012.727746>, Todorov and Filzmoser (2013) <doi:10.1007/978-3-642-33042-1_31>),
robust PLS (Todorov and Filzmoser (2014) <doi:10.17713/ajs.v43i4.44>),
and robust sparse classification (Ortner et al. (2020) <doi:10.1007/s10618-019-00666-8>).

Valentin Todorov

rrcovHD

Robust Multivariate Methods for High Dimensional Data

OutlierSign2-class function

Objects can be created by calls of the form <code>new("OutlierSign2", ...)</code> but the
 usual way of creating <code>OutlierSign2</code> objects is a call to the function
 <code>OutlierSign2()</code> which serves as a constructor.

Objects from the Class

<dl>
 <dt><code>covobj</code>:</dt>
<dd>A list containing intermediate results of the SIGN2 algorithm for each class</dd> <dt><code>call</code>, <code>counts</code>, <code>grp</code>, <code>wt</code>,
 <code>flag</code>, <code>method</code>, <code>singularity</code>:</dt>
<dd>from the <code>"Outlier"</code> class.</dd> 
</dl>

Slots

Class <code>"Outlier"</code>, directly.

Extends

<dl>
 <dt>getCutoff</dt>
<dd>Return the cutoff value used to identify outliers</dd> <dt>getDistance</dt>
<dd>Return a vector containing the computed distances</dd>	 
</dl>

Methods

Valentin Todorov <a href="/link/valentin.todorov%40chello.at?package=rrcovHD&version=0.3-1" data-mini-rdoc="rrcovHD::valentin.todorov@chello.at">valentin.todorov@chello.at</a>

Author

Class "OutlierSign2" - Outlier identification in high dimensions using the SIGN2 algorithm — OutlierSign2-class

<dl>
 <dt><code>covobj</code>:</dt>
<dd>A list containing intermediate results of the SIGN2 algorithm for each class</dd>

 <dt><code>call</code>, <code>counts</code>, <code>grp</code>, <code>wt</code>,
 <code>flag</code>, <code>method</code>, <code>singularity</code>:</dt>
<dd>from the <code>"Outlier"</code> class.</dd>

 
</dl>

<dl>
 <dt>getCutoff</dt>
<dd>Return the cutoff value used to identify outliers</dd>

 <dt>getDistance</dt>
<dd>Return a vector containing the computed distances</dd>

	 
</dl>

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

OutlierSign2-class: Class `"OutlierSign2"` - Outlier identification in high dimensions using the SIGN2 algorithm

Description

Arguments

Objects from the Class

Slots

Extends

Methods

Author

References

See Also

Examples