rrcovHD (version 0.2-6)

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

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

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

# NOT RUN {
showClass("Outlier")
# }