adamethods (version 1.2.1)

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.

See Also

outl_toler

Examples

# NOT RUN {
do_outl_degree(0.95, 1:100, 0.05, "outl_strong")
                                                     
# }