max_level_shift {tsfeatures} | R Documentation |
Time series features based on sliding windows
Description
Computes feature of a time series based on sliding (overlapping) windows.
max_level_shift
finds the largest mean shift between two consecutive windows.
max_var_shift
finds the largest var shift between two consecutive windows.
max_kl_shift
finds the largest shift in Kulback-Leibler divergence between
two consecutive windows.
Usage
max_level_shift(x, width = ifelse(frequency(x) > 1, frequency(x), 10))
max_var_shift(x, width = ifelse(frequency(x) > 1, frequency(x), 10))
max_kl_shift(x, width = ifelse(frequency(x) > 1, frequency(x), 10))
Arguments
x |
a univariate time series |
width |
size of sliding window |
Details
Computes the largest level shift and largest variance shift in sliding mean calculations
Value
A vector of 2 values: the size of the shift, and the time index of the shift.
Author(s)
Earo Wang and Rob J Hyndman
[Package tsfeatures version 1.1.1 Index]