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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/irmi.R
\name{initialise}
\alias{initialise}
\title{Initialization of missing values}
\usage{
initialise(x, mixed, method = "kNN", mixed.constant = NULL)
}
\arguments{
\item{x}{a vector.}
\item{mixed}{a character vector containing the names of variables of type
mixed (semi-continous).}
\item{method}{Method used for Initialization (median or kNN)}
\item{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.
}
\description{
Rough estimation of missing values in a vector according to its type.
}
\details{
Missing values are imputed with the mean for vectors of class
\code{"numeric"}, with the median for vectors of class \code{"integer"}, and
with the mode for vectors of class \code{"factor"}. Hence, \code{x} should
be prepared in the following way: assign class \code{"numeric"} to numeric
vectors, assign class \code{"integer"} to ordinal vectors, and assign class
\code{"factor"} to nominal or binary vectors.
}
\note{
The function is used internally by some imputation algorithms.
}
\author{
Matthias Templ, modifications by Andreas Alfons
}
\keyword{manip}
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