Simulates outcomes from all distributions in the dataset to make an "expanded" data set that can be intepreted by ggplot2. This can be used to debug ggdibbler plots, or used to make an uncertainty visualisation for a geom that doesn't exist. If (and only if) you are implementing a ggdibbler version of a ggplot stat extension, you should use dibble_to_tibble instead.
Arguments
- data
Distribution dataset to expand into samples
- times
A parameter used to control the number of values sampled from each distribution.
- seed
Set the seed for the layers random draw, allows you to get the same draw from repeated sample_expand calls
- params
the params argument for the stat function sample_expand(uncertain_mpg, times=10)