Rough estimation of missing values in a vector according to its type.

initialise(x, mixed, method = "kNN", mixed.constant = NULL)

Arguments

x

a vector.

mixed

a character vector containing the names of variables of type mixed (semi-continous).

method

Method used for Initialization (median or kNN)

mixed.constant

vector with length equal to the number of semi-continuous variables specifying the point of the semi-continuous distribution with non-zero probability

Value

the initialized vector.

Details

Missing values are imputed with the mean for vectors of class "numeric", with the median for vectors of class "integer", and with the mode for vectors of class "factor". Hence, x should be prepared in the following way: assign class "numeric" to numeric vectors, assign class "integer" to ordinal vectors, and assign class "factor" to nominal or binary vectors.

Note

The function is used internally by some imputation algorithms.

Author

Matthias Templ, modifications by Andreas Alfons