Outlier-class: Class '"Outlier"' - a base class for outlier identification

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

Description

The class Outlier represents the results of outlier identification.

Objects from the Class

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

Slots

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)

Methods

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

Author(s)

Valentin Todorov [email protected]

References

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.

Examples

1
showClass("Outlier")

rrcovHD documentation built on May 29, 2017, 7:14 p.m.