Number of Zero Crossings

Counts sign changes in a time series – a simple time-domain proxy for dominant frequency / signal roughness, commonly reported alongside Hjorth parameters and fractal dimension in EEG complexity work. Ported from Lucas Franca's own mrpheus package (AASM staging feature pipeline), itself validated for exact parity against the antropy Python library; re-validated here directly against antropy 0.2.2 on synthetic test data (exact match). See inst/COPYRIGHTS.

Usage

num_zerocross(x)

Arguments

x

Numeric vector. The time series to analyse.

Value

A length-1 integer: the number of zero crossings.

Examples

set.seed(1)
num_zerocross(rnorm(1000))
#> [1] 516