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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/gowerD.R
\name{gowerD}
\alias{gowerD}
\title{Computes the extended Gower distance of two data sets}
\usage{
gowerD(
data.x,
data.y = data.x,
weights = rep(1, ncol(data.x)),
numerical = colnames(data.x),
factors = vector(),
orders = vector(),
mixed = vector(),
levOrders = vector(),
mixed.constant = rep(0, length(mixed)),
returnIndex = FALSE,
nMin = 1L,
returnMin = FALSE,
methodStand = "range"
)
}
\arguments{
\item{data.x}{data frame}
\item{data.y}{data frame}
\item{weights}{numeric vector providing weights for the observations in x}
\item{numerical}{names of numerical variables}
\item{factors}{names of factor variables}
\item{orders}{names of ordered variables}
\item{mixed}{names of mixed variables}
\item{levOrders}{vector with number of levels for each orders variable}
\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}
\item{returnIndex}{logical if TRUE return the index of the minimum distance}
\item{nMin}{integer number of values with smallest distance to be returned}
\item{returnMin}{logical if the computed distances for the indices should be returned}
\item{methodStand}{character either "range" or "iqr", iqr is more robust for outliers}
}
\description{
The function gowerD is used by kNN to compute the distances for numerical,
factor ordered and semi-continous variables.
}
\details{
returnIndex=FALSE: a numerical matrix n x m with the computed distances
returnIndex=TRUE: a named list with "ind" containing the requested indices and "mins" the computed distances
}
\examples{
data(sleep)
# all variables used as numerical
gowerD(sleep)
# split in numerical an
gowerD(sleep, numerical = c("BodyWgt", "BrainWgt", "NonD", "Dream", "Sleep", "Span", "Gest"),
orders = c("Pred","Exp","Danger"), levOrders = c(5,5,5))
# as before but only returning the index of the closest observation
gowerD(sleep, numerical = c("BodyWgt", "BrainWgt", "NonD", "Dream", "Sleep", "Span", "Gest"),
orders = c("Pred","Exp","Danger"), levOrders = c(5,5,5), returnIndex = TRUE)
}
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