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)
Returns a vector with indices for a given class
Returns a vector containing the computed distances
Returns the flags identifying the outliers
Returns a vector with the indices of the identified outliers
Returns a vector of weights
Valentin Todorov valentin.todorov@chello.at
Todorov V & Filzmoser P (2009). An Object Oriented Framework for Robust Multivariate Analysis. Journal of Statistical Software, 32(3), 1–47. doi: 10.18637/jss.v032.i03.
Filzmoser P & Todorov V (2013). Robust tools for the imperfect world, Information Sciences 245, 4–20. doi: 10.1016/j.ins.2012.10.017.
1 | showClass("Outlier")
|
Loading required package: rrcov
Loading required package: robustbase
Scalable Robust Estimators with High Breakdown Point (version 1.4-7)
Robust Multivariate Methods for High Dimensional Data (version 0.2-5)
Virtual Class "Outlier" [package "rrcovHD"]
Slots:
Name: call counts grp wt flag method
Class: language numeric factor Uvector Uvector character
Name: singularity
Class: Ulist
Known Subclasses: "OutlierMahdist", "OutlierPCOut", "OutlierPCDist", "OutlierSign1",
"OutlierSign2"
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