Description Usage Arguments Value Author(s) References Examples

The `repr_pip`

computes PIP (Perceptually Important Points) representation from a time series.

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`x` |
the numeric vector (time series) |

`times` |
the number of important points to extract (default 10) |

`return` |
what to return? Can be important points ("points"), places of important points in a vector ("places") or "both" (data.frame). |

the values based on the argument return (see above)

Peter Laurinec, <[email protected]>

Fu TC, Chung FL, Luk R, and Ng CM (2008) Representing financial time series based on data point importance. Engineering Applications of Artificial Intelligence, 21(2):277-300

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