Nothing
#' @name Poisson1_1D
#' @title 1-Dimensional Homogeneous Poisson example.
#' @docType data
#' @description Point data and count data, together with intensity function and expected counts for
#' a homogeneous 1-dimensional Poisson process example.
#'
#' @aliases lambda1_1D E_nc1 pts1 countdata1
#'
#' @usage data(Poisson1_1D)
#'
#' @format The data contain the following `R` objects:
#' \describe{
#' \item{`lambda1_1D`:}{ A function defining the intensity function of a
#' nonhomogeneous Poisson process. Note that this function is only defined on
#' the interval (0,55).}
#' \item{`E_nc1`}{ The expected counts of the gridded data.}
#' \item{`pts1`}{ The locations of the observed points (a data frame with one column, named `x`).}
#' \item{`countdata1`}{ A data frame with three columns, containing the count data:}
#' \describe{
#' \item{`x`}{ The grid cell midpoint.}
#' \item{`count`}{ The number of detections in the cell.}
#' \item{`exposure`}{ The width of the cell.}
#' }
#' }
#'
#' @examples
#' \donttest{
#' if (require("ggplot2", quietly = TRUE)) {
#' data(Poisson1_1D)
#' ggplot(countdata1) +
#' geom_point(data = countdata1, aes(x = x, y = count), col = "blue") +
#' ylim(0, max(countdata1$count)) +
#' geom_point(data = pts1, aes(x = x), y = 0.2, shape = "|", cex = 4) +
#' geom_point(
#' data = countdata1, aes(x = x), y = 0, shape = "+",
#' col = "blue", cex = 4
#' ) +
#' xlab(expression(bold(s))) +
#' ylab("count")
#' }
#' }
NULL
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.