compute.fsd {DTWBI}

Fraction of Standard Deviation (FSD)

Description

Estimates the Fraction of Standard Deviation (FSD) of two univariate signals Y (imputed values) and X (true values).

Usage

compute.fsd(Y, X, verbose = F)

Arguments

Y

vector of imputed values

X

vector of true values

verbose

if TRUE, print advice about the quality of the model

Details

This function returns the value of FSD of two vectors corresponding to univariate signals. Values of FSD closer to zero indicate 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.fsd(Y,X)
compute.fsd(Y,X, verbose = TRUE)

# By definition, if true and imputed values are equal and constant,
# FSD = 0.
X <- rep(runif(1), 10)
Y <- X
compute.fsd(Y,X)

# However, if true and imputed values are constant but different,
# FSD is not calculable. An error is displayed.
## Not run: 
X <- rep(runif(1), 10);Y <- rep(runif(1), 10)
compute.fsd(Y,X)
## End(Not run)