Description Usage Arguments Value Note Author(s)

View source: R/designmatrices.R

Function that generates the design matrices of the clustering algorithm based on the parameters that the user wants to consider, i.e. level, polinomial trend and/or seasonal components. It also returns the number of parameters that are considered and not considered for clustering.

1 | ```
designmatrices(level, trend, seasonality, deg, T, n, fun)
``` |

`level` |
Variable that indicates if the level of the time series will be considered for clustering. If level = 0, then it is omitted. If level = 1, then it is taken into account. |

`trend` |
Variable that indicates if the polinomial trend of the model will be considered for clustering. If trend = 0, then it is omitted. If trend = 1, then it is taken into account. |

`seasonality` |
Variable that indicates if the seasonal components of the model will be considered for clustering. If seasonality = 0, then they are omitted. If seasonality = 1, then they are taken into account. |

`deg` |
Degree of the polinomial trend of the model. |

`T` |
Number of periods of the time series. |

`n` |
Number of time series. |

`fun` |
Clustering function being used. |

`Z` |
Design matrix of the parameters not considered for clustering. |

`X` |
Design matrix of the parameters considered for clustering. |

`p` |
Number of parameters not considered for clustering. |

`d` |
Number of parameters considered for clustering. |

For internal use.

Martell-Juarez, D.A.

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