\name{linearKdot} \alias{linearKdot} \title{ Multitype K Function (Dot-type) for Linear Point Pattern } \description{ For a multitype point pattern on a linear network, estimate the multitype \eqn{K} function which counts the expected number of points (of any type) within a given distance of a point of type \eqn{i}. } \usage{ linearKdot(X, i, r=NULL, \dots, correction="Ang") } \arguments{ \item{X}{The observed point pattern, from which an estimate of the dot type \eqn{K} function \eqn{K_{i\bullet}(r)}{K[i.](r)} will be computed. An object of class \code{"lpp"} which must be a multitype point pattern (a marked point pattern whose marks are a factor). } \item{i}{Number or character string identifying the type (mark value) of the points in \code{X} from which distances are measured. Defaults to the first level of \code{marks(X)}. } \item{r}{numeric vector. The values of the argument \eqn{r} at which the \eqn{K}-function \eqn{K_{i\bullet}(r)}{K[i.](r)} should be evaluated. There is a sensible default. First-time users are strongly advised not to specify this argument. See below for important conditions on \eqn{r}. } \item{correction}{ Geometry correction. Either \code{"none"} or \code{"Ang"}. See Details. } \item{\dots}{Ignored.} } \value{ An object of class \code{"fv"} (see \code{\link{fv.object}}). } \details{ This is a counterpart of the function \code{\link{Kdot}} for a point pattern on a linear network (object of class \code{"lpp"}). The argument \code{i} will be interpreted as levels of the factor \code{marks(X)}. If \code{i} is missing, it defaults to the first level of the marks factor. The argument \code{r} is the vector of values for the distance \eqn{r} at which \eqn{K_{i\bullet}(r)}{Ki.(r)} should be evaluated. The values of \eqn{r} must be increasing nonnegative numbers and the maximum \eqn{r} value must not exceed the radius of the largest disc contained in the window. } \references{ Baddeley, A, Jammalamadaka, A. and Nair, G. (to appear) Multitype point process analysis of spines on the dendrite network of a neuron. \emph{Applied Statistics} (Journal of the Royal Statistical Society, Series C), In press. } \section{Warnings}{ The argument \code{i} is interpreted as a level of the factor \code{marks(X)}. Beware of the usual trap with factors: numerical values are not interpreted in the same way as character values. } \seealso{ \code{\link{Kdot}}, \code{\link{linearKcross}}, \code{\link{linearK}}. } \examples{ data(chicago) K <- linearKdot(chicago, "assault") } \author{\adrian } \keyword{spatial} \keyword{nonparametric}