dot-globalfeatures: Estimating global features of a univariate signal

In DTWUMI: Imputation of Multivariate Time Series Based on Dynamic Time Warping

Estimating global features of a univariate signal

Description

Computes global features of a univariate signal, used as input for threshold and window definition in DTWBI algorithm.

Usage

.globalfeatures(X)

Arguments

X

signal

Value

A matrix with one row, each column giving the value of corresponding estimated feature.

minx	Minimum value of the input vector.
maxx	Maximum value of the input vector.
avg	Mean of the input vector.
medianx	Median of the input vector.
std	Standard deviation of the input vector.
momx	Skewness of the input vector.
nop	Number of peaks in the input vector.
len	Length of the input vector.
entro	Entropy of the input vector.

Examples

data(dataDTWUMI)
X <- dataDTWUMI$full_signal
gf <- .globalfeatures(X)

DTWUMI documentation built on Sept. 9, 2026, 9:08 a.m.