repr_pip {TSrepr} | R Documentation |
The repr_pip
computes PIP (Perceptually Important Points) representation from a time series.
repr_pip(x, times = 10, return = "points")
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, <tsreprpackage@gmail.com>
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
repr_pip(rnorm(100), times = 12, return = "both")