OutlierPCOut-class function

Class "OutlierPCOut" - Outlier identification in high dimensions using using the PCOUT algorithm

Holds the results of outlier identification using the PCOUT algorithm. 1.1

class

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

References

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

Filzmoser P & Todorov V (2013). Robust tools for the imperfect world, Information Sciences 245 , 4--20. tools:::Rd_expr_doi("10.1016/j.ins.2012.10.017") .

Author(s)

Valentin Todorov valentin.todorov@chello.at

See Also

OutlierPCOut, "Outlier"

Examples

showClass("OutlierMahdist")