\name{pairdist.ppp} \alias{pairdist.ppp} \title{Pairwise distances} \description{ Computes the matrix of distances between all pairs of points in a point pattern. } \usage{ \method{pairdist}{ppp}(X, \dots, periodic=FALSE, method="C", squared=FALSE) } \arguments{ \item{X}{ A point pattern (object of class \code{"ppp"}). } \item{\dots}{ Ignored. } \item{periodic}{ Logical. Specifies whether to apply a periodic edge correction. } \item{method}{ String specifying which method of calculation to use. Values are \code{"C"} and \code{"interpreted"}. Usually not specified. } \item{squared}{ Logical. If \code{squared=TRUE}, the squared distances are returned instead (this computation is faster). } } \value{ A square matrix whose \code{[i,j]} entry is the distance between the points numbered \code{i} and \code{j}. } \details{ This is a method for the generic function \code{pairdist}. Given a point pattern \code{X} (an object of class \code{"ppp"}), this function computes the Euclidean distances between all pairs of points in \code{X}, and returns the matrix of distances. Alternatively if \code{periodic=TRUE} and the window containing \code{X} is a rectangle, then the distances will be computed in the `periodic' sense (also known as `torus' distance): opposite edges of the rectangle are regarded as equivalent. This is meaningless if the window is not a rectangle. If \code{squared=TRUE} then the \emph{squared} Euclidean distances \eqn{d^2} are returned, instead of the Euclidean distances \eqn{d}. The squared distances are faster to calculate, and are sufficient for many purposes (such as finding the nearest neighbour of a point). The argument \code{method} is not normally used. It is retained only for checking the validity of the software. If \code{method = "interpreted"} then the distances are computed using interpreted R code only. If \code{method="C"} (the default) then C code is used. The C code is somewhat faster. } \seealso{ \code{\link{pairdist}}, \code{\link{pairdist.default}}, \code{\link{pairdist.psp}}, \code{\link{crossdist}}, \code{\link{nndist}}, \code{\link{Kest}} } \examples{ data(cells) d <- pairdist(cells) d <- pairdist(cells, periodic=TRUE) d <- pairdist(cells, squared=TRUE) } \author{Pavel Grabarnik \email{pavel.grabar@issp.serpukhov.su} and \adrian } \keyword{spatial} \keyword{math}