POIFD | R Documentation |

Compute the depth measures of a partially observed functional data set evaluated in a common grid.

POIFD(data, type = c("MBD", "FMD", "MHRD"), phi)

`data` |
matrix p by n, being n the number of functions and p the number of grid points. Rownames are the dense grid x and colnames the identifier of each functional data. |

`type` |
chosen depth measure. Fraiman and Muniz depth ( |

`phi` |
phi function of weights for the POIFD. The default value is as in the paper, i.e. the proportion of observed functions at each time point. |

Ordered vector of depths from the deepest to outward. The names are the functions names (if provided) or the column position.

data(exampleData) data <- exampleData$PoFDintervals poifd <- POIFD(data, type = c("MBD"))

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