boxplot_PoFD: Functional Boxplot for Partially Observed Functional Data

In aefdz/depthPoFDA: Partially Observed Integrated Functional Depth

Description

Plots the Functional Boxplot for PoFD and returns the magnitud 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

boxplot_PoFD(data, centralRegion = 0.5, fmag = 1.5, fdom = 1)

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 magnitud outliers.
fdom	factor that provides the minimum proportion of functions in the available central region to consider a magnitude outlier as a domain outlier. A value equals to 0 determine as domain outlier a magnitude outlier if the central region is not available at all. 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

# boxplot_PoFD(data, centralRegion = 0.5, fmag = 1.5, fdom = 1)

aefdz/depthPoFDA documentation built on Jan. 8, 2021, 10:16 p.m.