compute.ed: Euclidean distance (ED)

In FSMUMI: Imputation of Time Series Based on Fuzzy Logic

Description

Compute the Euclidean distance between two vectors having the same length Y and X.

Usage

compute.ed(Y, X)

Arguments

Y	vector of imputed values
X	vector of true values

Details

This function returns the Euclidean distance of two vectors corresponding to univariate signals. A lower ED (ED \in [0, \inf]) value indicates that the two vectors are more similar. The both vectors Y and X must be of equal length, on the contrary an error will be displayed. In two input vectors, eventual NA will be exluded with a warning diplayed.

Author(s)

Thi-Thu-Hong Phan, Andre Bigand, Emilie Poisson-Caillault

Examples

data(dataFSMUMI)
X <- dataFSMUMI[, 1] ; Y <- dataFSMUMI[, 2]
compute.ed(Y,X)

FSMUMI documentation built on May 2, 2019, 12:40 p.m.