boxplotPOFD | R Documentation |

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.

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

`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. |

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

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

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

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