fdaPOIFD (version 2.0.1)

boxplotPOFD: 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,
  depth,
  centralRegion = 0.5,
  fmag = 1.5,
  fdom = 0,
  plot = TRUE
)

Value

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

Arguments

data

matrix p by n, being n the number of functions and p the number of grid points.

depth

depth used to build the functional boxplot. Default is MBD, see POIFD function for other definitions.

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.

plot

if the plot is shown or not.

References

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

Examples

boxplotPOFD(exampleData$PoFDextremes_outliers,
depth = "MBD",
centralRegion = 0.5,
fmag = 1.5, fdom = 0)