crossing_points

Computes the number of times a time series crosses the median.

Methods for extracting various features from time series data. The features provided are those from Hyndman, Wang and Laptev (2013) <doi:10.1109/ICDMW.2015.104>, Kang, Hyndman and Smith-Miles (2017) <doi:10.1016/j.ijforecast.2016.09.004> and from Fulcher, Little and Jones (2013) <doi:10.1098/rsif.2013.0048>. Features include spectral entropy, autocorrelations, measures of the strength of seasonality and trend, and so on. Users can also define their own feature functions.

Rob Hyndman

tsfeatures

Time Series Feature Extraction

Yanfei Kang

Pablo Montero-Manso

Mitchell O'Hara-Wild

Thiyanga Talagala

Earo Wang

Yangzhuoran Yang

Souhaib Ben Taieb

Cao Hanqing

D K Lake

Nikolay Laptev

J R Moorman

Bohan Zhang

crossing_points function

<dl><dt>x</dt>
<dd>a univariate time series</dd></dl>

Last chance! 50% off unlimited learning

crossing_points: Number of crossing points

Description

Usage

Value

Arguments

Author