compare_emp | R Documentation |

Compare minimum expected populations from two or more 'simulation_results' objects.

compare_emp( x, ..., show_interval = TRUE, interval = 95, all_points = FALSE, simulation_names = NULL )

`x` |
a simulation_results object |

`...` |
additional simulation results objects |

`show_interval` |
should the interval bars be shown on the plot? Default is TRUE. |

`interval` |
the desired confidence interval representing the uncertainty around the expected minimum population estimates from simulation comparisons; expressed as a whole integer between 0 and 100 (default value is 95). |

`all_points` |
should the expected minimum populations from all simulation replicates be shown on the plot? Default is FALSE. |

`simulation_names` |
an optional character vector of simulation names to override the defaults |

## Not run: ls <- landscape(population = egk_pop, suitability = egk_hab, carrying_capacity = egk_k) # Create populations dynamics with and without ceiling density dependence pd1 <- population_dynamics(change = growth(egk_mat), dispersal = kernel_dispersal(max_distance = 1000, dispersal_kernel = exponential_dispersal_kernel(distance_decay = 500)), density_dependence = ceiling_density()) pd2 <- population_dynamics(change = growth(egk_mat), dispersal = kernel_dispersal(max_distance = 3000, dispersal_kernel = exponential_dispersal_kernel(distance_decay = 1500))) # Run first simulation with ceiling density dependence and three replicates sim1 <- simulation(landscape = ls, population_dynamics = pd1, habitat_dynamics = NULL, timesteps = 20, replicates = 3) # Run second simulation without ceiling density dependence and three replicates sim2 <- simulation(landscape = ls, population_dynamics = pd2, habitat_dynamics = NULL, timesteps = 20, replicates = 3) compare_emp(sim1, sim2) ## End(Not run)

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