\name{distances}
 
 \alias{L1.dist}
 \alias{euclidian.dist}
 \alias{cosin.dist}
 \alias{rank.cor.dist}
 
 \title{Different distances between two given vectors}
 \description{
  These functions are used for calculating different distances between
  two given vectors. Thus, \code{L1.dist} calculates the L1 distance,
  \code{cosin.dist} calculates the cosine distance, \code{euclidian.dist}
  computes the Euclidian distance, and \code{rank.cor.dist} computes
  the rank correlation distance. The vectors have to have same length.
  When using \code{rank.cor.dist} the vectors have to have length larger
  than 4.
 }
 \usage{
 L1.dist(p, q)
 cosin.dist(p, q)
 euclidian.dist(x, y)
 rank.cor.dist(x, y)
 }
 
 \arguments{
   \item{p}{ A \code{numeric} vector specifying the first component for
     the distance calculation. It has to have the same length as \code{q}.}
   \item{q}{ A \code{numeric} vector specifying the second component for
     the distance calculation. }
   \item{x}{ Same as \code{p}. }
   \item{y}{ Same as \code{q}.}
 
 }
 
 \value{
   The functions return the distance between the two given vectors. 
 }
 
 \author{Jasmina Bogojeska}
 
 \seealso{\code{\link{kullback.leibler}}, \code{\link{L2.norm}}, \code{\link{stability.sim}}}
 \examples{
 ## Define two numeric vectors with equal lengths (> 4).
 x <- c(1, 2, 3, 4, 5)
 y <- c(5, 6, 7, 8, 9)
 
 ## Calculate the L1 distance between the vectors x and y
 L1.dist(x, y)
 
 ## Calculate the Euclidian distance between the vectors x and y
 euclidian.dist(x, y)
 
 ## Calculate the cosine distance between the vectors x and y
 cosin.dist(x, y)
 
 ## Calculate the rank-correlation distance between the vectors x and y
 rank.cor.dist(x, y)
 
 }
 
 \keyword{misc}