compute.rmse: Root Mean Square Error (RMSE)

In FSMUMI: Imputation of Time Series Based on Fuzzy Logic

Description

Calculate the FA2 between two univariate signals Y (imputed values) and X (true values).

Usage

compute.rmse(Y, X)

Arguments

Y	vector of imputed values
X	vector of true values

Details

This function computes the value of RMSE of two univariate signals. A lower RMSE (RMSE \in [0, \inf]) value demonstrates a better performance method for the imputation task. The length of the two vectors Y and X must be equal, on the contrary an error will be displayed. In both 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.rmse(Y,X)

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