FSMUMI (version 1.0)

compute.fsd: Fraction of Standard Deviation (FSD)

Description

Compute 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 FSD value between two univariate signals. FSD value approaches zero means that a better performance method for the imputation task. Y and X must have the same length, conversely an error will be appeared. In both input vectors, NA will be exluded with a warning diplayed.

Examples

# NOT RUN {
data(dataFSMUMI)
X <- dataFSMUMI[, 1] ; Y <- dataFSMUMI[, 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)
# }