Description Usage Arguments Value Author(s) Examples

The function `fds`

is used to create general independent and identically distributed (i.i.d.) functional objects that are not ordered by time.
The function `fts`

is used to create functional time series objects.
The function `sfts`

is used to create sliced functional time series objects, where the `x`

variable is
also a time variable.

1 2 3 4 |

`x` |
Numeric vector of length |

`y` |
Matrix of size |

`data` |
An object of class |

`period` |
Time period of sliced functional data. For instance, |

`start` |
The time of the first observation. Either a single number or a vector
of two integers, which specify a natural time unit and a (1-based) number of
samples into the time unit. See |

`frequency` |
The number of observations per unit of time. |

`xname` |
Character string giving name of |

`yname` |
Character string giving name of |

An object of class `fds`

or `fts`

or `sfts`

.

Rob J Hyndman and Han Lin Shang

1 2 3 4 5 | ```
fds(x = 1:20, y = Simulationdata$y, xname = "x", yname = "Simulated value")
fts(x = 15:49, y = Australiasmoothfertility$y, xname = "Age",
yname = "Fertility rate")
sfts(ts(as.numeric(ElNino_OISST_region_1and2$y), frequency = 12), xname = "Month",
yname = "Sea surface temperature")
``` |

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