repr_windowing: Windowing of time series
In PetoLau/TSrepr: Time Series Representations

Description Usage Arguments Details Value Author(s) References See Also Examples

The repr_windowing computes representations from windows of a vector.

1	repr_windowing(x, win_size, func = NULL, args = NULL)

`x`	the numeric vector (time series)
`win_size`	the length of the window
`func`	the function for representation computation. For example `repr_feaclip` or `repr_trend`.
`args`	the list of additional arguments to the func (representation computation function). The args list must be named.

This function applies specified representation method (function) to every non-overlapping window (subsequence, piece) of a time series.

the numeric vector

Peter Laurinec, <tsreprpackage@gmail.com>

Laurinec P, and Lucka M (2018) Interpretable multiple data streams clustering with clipped streams representation for the improvement of electricity consumption forecasting. Data Mining and Knowledge Discovery. Springer. DOI: 10.1007/s10618-018-0598-2

repr_paa, repr_matrix

# func without arguments
repr_windowing(rnorm(48), win_size = 24, func = repr_feaclip)

# func with arguments
repr_windowing(rnorm(48), win_size = 24, func = repr_featrend,
 args = list(func = maxC, order = 2, pieces = 2))