\name{distance.euclidian}
\alias{distance.euclidian}
\title{Calculate vector similarity (distance) using euclidian distance metrics}
\description{
  \code{distance.euclidian} calculates the euclidian distance between two n--dimensional vectors.
}
\usage{
distance.euclidian(x,y,na.rm=FALSE,...)
}
\arguments{
  \item{x}{The first vector.}
  \item{y}{The second vector.}
  \item{na.rm}{If \code{NA} values should be removed before any calculations take place.}
  \item{...}{Additional parameters. Not yet used.}
}
\details{
This simple function calculates the euclidian distance between two vectors using pythagoras theorem.
}
\author{Johannes Rainer}

\seealso{
	\code{\link{distance.pearson}}
	\code{\link{distance.spearman}}
	\code{\link{dbSearchSimilarPattern}}
}

\keyword{data}