OutlierPCOut-class: Class '"OutlierPCOut"' - Outlier identification in high...

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

Description

Holds the results of outlier identification using the PCOUT algorithm.

Objects from the Class

Objects can be created by calls of the form new("OutlierPCOut", ...) but the usual way of creating OutlierPCOut objects is a call to the function OutlierPCOut() which serves as a constructor.

Slots

covobj:

A list containing intermediate results of the PCOUT algorithm for each class

call, counts, grp, wt, flag, method, singularity:

from the "Outlier" class.

Extends

Class "Outlier", directly.

Methods

getCutoff

Return the cutoff value used to identify outliers

getDistance

Return a vector containing the computed distances

plot

Plot the results of the outlier detection process

Author(s)

Valentin Todorov [email protected]

References

P. Filzmoser, R. Maronna and M. Werner (2008), Outlier identification in high dimensions, Computational Statistics & Data Analysis, Vol. 52 1694–1711.

P. Filzmoser & V. Todorov (2012), Robust tools for the imperfect world, To appear.

See Also

OutlierPCOut, "Outlier"

Examples

1
showClass("OutlierMahdist")

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