compute.rmse {DTWBI}

Root Mean Square Error (RMSE)

Description

Estimates the Root Mean Square Error of 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 returns the value of RMSE of two vectors corresponding to univariate signals. A lower RMSE (RMSE \in [0, \inf]) value indicates a better performance method for the imputation task. Both vectors Y and X must be of equal length, on the contrary an error will be displayed. In both input vectors, eventual NA will be exluded with a warning diplayed.

Author(s)

Camille Dezecache, Hong T. T. Phan, Emilie Poisson-Caillault

Examples

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