Description Usage Arguments Details Author(s) Examples

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

1 | ```
compute.sim(Y, X)
``` |

`Y` |
vector of imputed values |

`X` |
vector of true values |

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.

Thi-Thu-Hong Phan, Andre Bigand, Emilie Poisson-Caillault

1 2 3 4 5 6 7 8 9 10 | ```
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)
``` |

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