Description Objects from the Class Slots Methods Author(s) References Examples

The class `Outlier`

represents the results of outlier identification.

A virtual Class: No objects may be created from it.

`call`

:Object of class

`"language"`

`counts`

:Number of observations in each class

`grp`

:Grouping variable

`wt`

:Vector of weights

`flag`

:0/1 flags identifying the outliers

`method`

:A character string specifying the method used to identify the outliers. In case of

`OutlierMahdist`

class this is the name of the robust estimator of multivariate location and covariance matrix used`singularity`

:a list with singularity information for the covariance matrix (or

`NULL`

if not singular)

- getClassLabels
Returns a vector with indices for a given class

- getDistance
Returns a vector containing the computed distances

- getFlag
Returns the flags identifying the outliers

- getOutliers
Returns a vector with the indices of the identified outliers

- getWeight
Returns a vector of weights

- plot
- show

Valentin Todorov [email protected]

Todorov V & Filzmoser P (2009),
An Object Oriented Framework for Robust Multivariate Analysis.
*Journal of Statistical Software*, **32**(3), 1–47.
URL http://www.jstatsoft.org/v32/i03/.

Filzmoser P & Todorov V (2012), Robust tools for the imperfect world, To appear.

1 | ```
showClass("Outlier")
``` |

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