man/L1.dist.Rd
 6fe809cf  \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}