print.ICS_Out

Short statement about how many components are selected for the outlier detection and how many outliers are detected.

Multivariate outlier detection is performed using invariant coordinates where the package offers different methods to choose the appropriate components. ICS is a general multivariate technique with many applications in multivariate analysis. ICSOutlier offers a selection of functions for automated detection of outliers in the data based on a fitted ICS object or by specifying the dataset and the scatters of interest. The current implementation targets data sets with only a small percentage of outliers.

Klaus Nordhausen

ICSOutlier

Outlier Detection Using Invariant Coordinate Selection

Aurore Archimbaud

Anne Ruiz-Gazen

print.ICS_Out function

<dl><dt>x</dt>
<dd>object object of class <code>"ICS_Out"</code>.</dd>
<dt>...</dt>
<dd>additional arguments, not used.</dd></dl>

Arguments

Aurore Archimbaud and Klaus Nordhausen

Author

Vector of Outlier Indicators — print.ICS_Out

<dl>

<dt>x</dt>
<dd>object object of class <code>"ICS_Out"</code>.</dd>


<dt>...</dt>
<dd>additional arguments, not used.</dd>

</dl>

print.ICS_Out: Vector of Outlier Indicators

Description

Usage

Value

Arguments

Author