SPcaGrid-class

getQuan,SPcaGrid-method


    Holds the results of an approximation of the PP-estimators for sparse and robust PCA using the grid search algorithm in the plane.


multivariate

robust

classes

Robust multivariate methods for high dimensional data including
outlier detection, PCA, PLS and classification.

Valentin Todorov

rrcovHD

Robust Multivariate Methods for High Dimensional Data

SPcaGrid-class function

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

Objects from the Class

<dl> <dt><code>call</code>, <code>center</code>, <code>scale</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>"<a rd-options="rrcov" href="/link/Pca-class?package=rrcovHD&version=0.2-4&to=rrcov" data-mini-rdoc="rrcov::Pca-class">Pca-class</a>"</code> class.</dd> </dl> 

Slots

Class <code>"PcaGrid"</code>, directly.
Class <code>"PcaRobust"</code>, by class "PcaGrid", distance 2.
Class <code>"Pca"</code>, by class "PcaGrid", distance 3.

Extends

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

SPcaGrid-class: Class `SPcaGrid` - Sparse Robust PCA using PP - GRID search Algorithm

Description

Arguments

Objects from the Class

Slots

Extends

Methods

References

See Also

Examples