dataFSMUMI

<p>An example of a multivariate times series having three signals</p>

datasets

Filling large gaps in low or uncorrelated multivariate time series uses a new fuzzy weighted similarity measure. It contains all required functions to create large missing consecutive values within time series and then fill these gaps, according to the paper Phan et al. (2018), <DOI:10.1155/2018/9095683>. Performance indicators are also provided to compare similarity between two univariate signals (incomplete signal and imputed signal).

Thi Hong Phan

FSMUMI

Imputation of Time Series Based on Fuzzy Logic

dataFSMUMI function

<p>An object of class <code>matrix</code> with 32000 rows and 3 columns.</p>

dataFSMUMI: An example of a multivariate times series having three signals

Description

Usage

Arguments

Format