initialise: Initialization of missing values

In statistikat/VIM: Visualization and Imputation of Missing Values

Initialization of missing values

Description

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

Usage

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

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.

Value

the initialized vector.

Note

The function is used internally by some imputation algorithms.

Author(s)

Matthias Templ, modifications by Andreas Alfons

statistikat/VIM documentation built on April 5, 2024, 3:33 a.m.