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.