adamethods: do_outl_degree – R documentation

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do_outl_degree

Degree of outlierness

Description

Classification of outliers according to their degree of outlierness. They are classified using the tolerance proportion. For instance, outliers from a 95

Usage

do_outl_degree(vect_tol = c(0.95, 0.9, 0.85), resid_vect, alpha = 0.05, 
               outl_degree = c("outl_strong", "outl_semi_strong", "outl_moderate"))

Arguments

`vect_tol`	Vector the tolerance values. Default c(0.95, 0.9, 0.85).
`resid_vect`	Vector of n residuals, where n was the number of rows of the data matrix.
`alpha`	Significance level. Default 0.05.
`outl_degree`	Type of outlier to identify the degree of outlierness. Default c("outl_strong", "outl_semi_strong", "outl_moderate").

Value

List with the type outliers.

Author(s)

Guillermo Vinue

Examples

do_outl_degree(0.95, 1:100, 0.05, "outl_strong")

adamethods

Archetypoid Algorithms and Anomaly Detection

v1.2.1

GPL (>= 2)

Authors

Guillermo Vinue, Irene Epifanio

Initial release

2020-08-04