Simulate a visual-inference lineup under independence — simulate_independence_lineup • ggcircular

Simulate a visual-inference lineup under independence

Usage

simulate_independence_lineup(
  data,
  plot_fun = NULL,
  m = 20,
  seed = NULL,
  space = c("cylindrical", "toroidal"),
  ...
)

Arguments

data: Data frame containing theta and either x or phi.
plot_fun: Optional function taking one data frame and returning a ggplot object.
m: Number of lineup panels.
seed: Optional random seed.
space: Either "cylindrical" or "toroidal".
...: Passed to the default plot function when plot_fun is NULL.

Value

A list with plots, true position and metadata. The returned object has class directional_lineup.

See also

Other directional uncertainty helpers: autoplot.bootstrap_stat_orbit(), autoplot.bootstrap_toroidal_ridge(), bootstrap_stat_orbit(), bootstrap_toroidal_ridge(), marginal_support_data(), plot_marginal_support(), sensitivity_bandwidth_grid()

Examples

dat <- simulate_cyl_diagnostic(n = 40, scenario = "smooth", seed = 1)
lineup <- simulate_independence_lineup(
  dat,
  plot_fun = function(d) ggplot2::ggplot(d, ggplot2::aes(theta, x)) + ggplot2::geom_point(),
  m = 4,
  seed = 1,
  space = "cylindrical"
)
length(lineup$plots)
#> [1] 4