FSMUMI (version 1.0)

compute.sim: Similarity

Description

Compute the percentage of similarity of two univariate signals Y (imputed values) and X (true values).

Usage

compute.sim(Y, X)

Arguments

Y

vector of imputed values

X

vector of true values

Details

This function returns the value of similarity of two v univariate signals. A higher similarity (\(Similarity \in [0, 1]\)) highlights a more accurate method for completing missing values. Y and X must have the same length, otherwise an error will be displayed. Input vectors do not contains NA, if not it a warning will be diplayed.

Examples

# NOT RUN {
data(dataFSMUMI)
X <- dataFSMUMI[, 1] ; Y <- dataFSMUMI[, 2]
compute.sim(Y,X)

# By definition, if true values is a constant vector
# and one or more imputed values are equal to the true values,
# similarity = 1.
X <- rep(5, 100)
Y <- X
compute.sim(Y,X)
# }