measures: Calculate statistical characteristics of an event

In TED: Turbulence Time Series Event Detection and Classification

Description

This function calculates statistical characteristics for detected events.

Usage

measures(x)

Arguments

x	a time series

Details

Measures used here are standard deviation, kurtosis, skewness, HD (the absolute Difference between averages of the first and second Half ), nonsmoothness, test statistic of PP test and ZA test, and maximum, minimum, and kurtosis of the first-order difference of the events. Please see the reference for details (Kang et al. 2014).

Value

a vector consisting of statistical characteristics of event x

References

Yanfei Kang, Danijel Belusic, Kate Smith-Miles (2014). Classes of structures in the stable at- mospheric boundary layer. Submitted to Quarterly Journal of the Royal Meteorological Society.

See Also

eventCluster

Examples

set.seed(123)
n=128
measures(cbfs('box'))
measures(cbfs('sine'))

TED documentation built on May 2, 2019, 4:26 a.m.