icsOut-class: Class icsOut

In ICSOutlier: Outlier Detection Using Invariant Coordinate Selection

Class icsOut

Description

A S4 class to store results from performing outlier detection in an ICS context.

Objects from the Class

Objects can be created by calls of the form new("icsOut", ...). But usually objects are created by the function ics.outlier.

Slots

outliers:

Object of class "integer". A vector containing ones for outliers and zeros for non outliers.

ics.distances:

Object of class "numeric". Vector giving the squared ICS distances of the observations from the invariant coordinates centered with the location estimate specified in S1.

ics.dist.cutoff:

Object of class "numeric". The cut-off for the distances to decide if an observation is outlying or not.

level.dist:

Object of class "numeric". The level for deciding upon the cut-off value for the ICS distances.

level.test:

Object of class "numeric". The inital level for selecting the invariant coordinates.

method:

Object of class "character". Name of the method used to decide upon the number of ICS components.

index:

Object of class "numeric". Vector giving the indices of the ICS components selected.

test:

Object of class "character". The name of the normality test as specified in the function call.

criterion:

Object of class "numeric". Vector giving the marginal levels for the components selection.

adjust:

Object of class "logical". Wether the initial level used to decide upon the number of components has been adjusted for multiple testing or not.

type:

Object of class "character". Currently always the string "smallprop".

mDist:

Object of class "integer". Number of simulations performed to decide upon the cut-off for the ICS distances.

mEig:

Object of class "integer". Number of simulations performed for selecting the ICS components based on simulations.

S1name:

Object of class "character". Name of S1 in the original ics2 object.

S2name:

Object of class "character". Name of S2 in the original ics2 object.

Methods

For this class the following generic functions are available: print.icsOut, summary.icsOut and plot.ics

Note

In case no extractor function for the slots exists, the component can be extracted the usual way using '@'.

Author(s)

Aurore Archimbaud and Klaus Nordhausen

See Also

ics.outlier

ICSOutlier documentation built on Sept. 18, 2023, 5:07 p.m.