dot-features_matrix: Feature matrix

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

Feature matrix

Description

Store global features of a multivariate signal within a feature matrix. Values for each signal (column of the dataset storing the multivariate signal) are concatenated.

Usage

.features_matrix(data)

Arguments

data	multivariate signal

Value

A matrix with one row, where each column contains the value of corresponding estimated feature:

minx	Minimum value of the input vector.
maxx	Maximum value of the input vector.
avg	Mean value of the input vector.
medianx	Median value 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)
gf <- .features_matrix(dataDTWUMI$full_signal)

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