localizationStatistics: Localization Distances Statistics

In localFDA: Localization Processes for Functional Data Analysis

Description

Estimate the mean and standard deviation of the localization distances mean.

Usage

localizationStatistics(y, robustify = TRUE, whiskerrule)

Arguments

y	matrix p by n, being n the number of functions and p the number of grid points.
robustify	if TRUE the mean and standard deviation are estimated with a the trimmed sample. Default is TRUE.
whiskerrule	Range parameter for the univariate boxplot detection rule. Default = 3.

Value

a list with the localization distances of each function (localizationDistances), the estimated mean (mean) and standard deviation (sd).

References

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

Examples

localizationStatistics_full <- localizationStatistics(exampleData[,1:101], robustify = TRUE)
localizationStatistics_full$trim_mean[c(1, 25, 50 ,75, 100)]
localizationStatistics_full$trim_sd[c(1, 25, 50 ,75, 100)]

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