View source: R/commondomainPOFD.R

commondomainPOFD | R Documentation |

Generates samples of functions observed in a common domain in the center part of the domain. See Elías et al (2020).

commondomainPOFD(data, observability = NULL, pIncomplete = NULL)

`data` |
functional data completely observed. pxn matrix being n the number of curves and p the number og evaluation points. |

`observability` |
mean observed proportion of the domain where each function is observed. |

`pIncomplete` |
number between 0 and 1 related to the proportion of curves that suffers partially observability. The default is 1 meaning that all the sample curves are partially observed. |

a list containing two elements 1) a functional sample and 2) the same sample of functions but partially observed following one of the schemes described in the argument type.

Elías, Antonio, Jiménez, Raúl, Paganoni, Anna M. and Sangalli, Laura M. (2020). Integrated Depths for Partially Observed Functional Data.

data <- sapply(1:100, function(x) runif(1)*sin(seq(0, 2*pi, length.out = 200)) + runif(1)*cos(seq(0, 2*pi, length.out = 200))) data_pofd <- commondomainPOFD(data, observability = 0.5, pIncomplete = 1)

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