outlierLocalizationDistance: Outlier localization distances

In localFDA: Localization Processes for Functional Data Analysis

Description

Compute the localization distances of order k of the curve y0.

Usage

outlierLocalizationDistance(X, localrule = 0.9, whiskerrule = 3)

Arguments

X	matrix p by n, being n the number of functions and p the number of grid points.
localrule	Local distance rule: the method marks a curve as outlier if its k order localization distances are outliers in more than local_rulex100 percent of the k-order univariate boxplots. Default is 0.90 so a function must be at least an outlier in 90 percent of the k-order localization distances.
whiskerrule	Parameter for the whiskers of the univariate boxplot of the localization distances of order kth. Default value is 3.

Value

A list

References

Elías, Antonio, Jiménez, Raúl and Yukich, Joe (2020). Localization processes for functional data analysis (submitted).

Examples

outliers <- outlierLocalizationDistance(outlierData, localrule = 0.9, whiskerrule = 3)
outliers$outliers_ld_rule

localFDA documentation built on Oct. 23, 2020, 6:17 p.m.