This data set serves to teach the concept of modelling species that gather in groups and where the grouping behaviour depends on space.

## Usage

`data(toygroups)`

## Format

The data are a list that contains these elements:

`groups`

:A

`data.frame`

of group locations`x`

and size`size`

`df.size`

:IGNORE THIS

`df.intensity`

:A

`data.frame`

with Poisson process intensity`d.lambda`

at locations`x`

`df.rate`

:A

`data.frame`

the locations`x`

and associated`rate`

which parameterized the exponential distribution from which the group sizes were drawn.

## Examples

```
# \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))
}
# }
```