# 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

 1 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

 1 2 3 data(dataFSMUMI) X <- dataFSMUMI[, 1] ; Y <- dataFSMUMI[, 2] compute.rmse(Y,X) 

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