boxplotPOFD: Functional Boxplot for Partially Observed Functional Data

In fdaPOIFD: Partially Observed Integrated Functional Depth

Functional Boxplot for Partially Observed Functional Data

Description

Plots the Functional Boxplot for PoFD and returns the magnitude and domain outliers. Magnitude outliers in blue, a dotted red indicates that the outlier situation occurs in a region with less than fdom proportion of the central region.

Usage

boxplotPOFD(data, centralRegion = 0.5, fmag = 1.5, fdom = 0)

Arguments

data	matrix p by n, being n the number of functions and p the number of grid points.
centralRegion	number between 0 and 1 determining the proportion of the deepest functions that builds the central region.
fmag	factor to enhance the functional central region and determine the functional whiskers. Default is equal to 1.5. The whiskers provide the rule to unmask magnitude outliers.
fdom	factor that provides the maximum proportion of observed functions in the central region to consider a magnitude outlier as a domain outlier also. A value equals to 0 means that domain outliers are those functions that are observed on the domain where any of the functions building the central region are observed. A value equals to 1 determine as domain outlier any magnitude outlier out of the region where the central region is completely observed.

Value

a list with the functional boxplot for PoDF the magnitude outliers and the domain outliers.

References

Sun, Y. and Genton, M. G. (2011). Functional boxplots. Journal of Computational & Graphical Statistics, 20(2):316–334.

Examples

data(exampleData)
boxplotPOFD(exampleData$PoFDextremes_outliers, centralRegion = 0.5, fmag = 1.5, fdom = 0)

fdaPOIFD documentation built on May 16, 2022, 5:05 p.m.