inst/examples/data.toygroups.R

In inlabru-org/inlabru: Bayesian Latent Gaussian Modelling using INLA and Extensions

\donttest{
if (require(ggplot2, quietly = TRUE)) {
  # Load the data

  data("toygroups", package = "inlabru")

  # The data set is a simulation of animal groups residing in a 1D space. Their
  # locations in x-space are sampled from a Cox process with intensity

  ggplot(toygroups$df.intensity) +
    geom_line(aes(x = x, y = g.lambda))

  # Adding the simulated group locations to this plot we obtain

  ggplot(toygroups$df.intensity) +
    geom_line(aes(x = x, y = g.lambda)) +
    geom_point(data = toygroups$groups, aes(x, y = 0), pch = "|")

  # Each group has a size mark attached to it.
  # These group sizes are sampled from an exponential distribution
  # for which the rate parameter depends on the x-coordinate

  ggplot(toygroups$groups) +
    geom_point(aes(x = x, y = size))

  ggplot(toygroups$df.rate) +
    geom_line(aes(x, rate))
}
}