Update a simulation

This function updates a previously run simulation. After a simulation has been run, you can alter the levels of the resulting object of class sim_obj using set_levels, or change the configuration (including the number of simulation replicates) using set_config. Executing update_sim on this simulation object will only run the added levels/replicates, without repeating anything that has already been run.

Usage

update_sim(sim, keep_errors = T)

Arguments

sim

A simulation object of class sim_obj, usually created by new_sim, that has already been run by the run function

keep_errors

logical (TRUE by default); if TRUE, do not try to re-run simulation reps that results in errors previously; if FALSE, attempt to run those reps again

Value

The original simulation object with additional simulation replicates in results or errors

Details

• It is not possible to add new level variables, only new levels of the existing variables. Because of this, it is best practice to include all potential level variables before initially running a simulation, even if some of them only contain a single level. This way, additional levels can be added later.

Examples

sim <- new_sim()
create_data <- function(n) { rpois(n, lambda=5) }
est_mean <- function(dat, type) {
  if (type=="M") { return(mean(dat)) }
  if (type=="V") { return(var(dat)) }
}
sim %<>% set_levels(n=c(10,100), est="M")
sim %<>% set_config(num_sim=10)
sim %<>% set_script(function() {
  dat <- create_data(L$n)
  lambda_hat <- est_mean(dat=dat, type=L$est)
  return (list("lambda_hat"=lambda_hat))
})
sim %<>% run()
sim %>% summarize(list(stat="mean", x="lambda_hat"))
sim %<>% set_levels(n=c(10,100,1000), est=c("M","V"))
sim %<>% set_config(num_sim=5)
sim %<>% update_sim()
sim %>% summarize(list(stat="mean", x="lambda_hat"))