Rename depending on if they summarise observations of simulated dynamics (time series) or outcomes (success rate). Or, do something that looks like type-based metaprogramming to change how a single function, i.e., summarise, works depending on the input. Or maybe, even better:
# Run a trial and summarise observations and outcomes...
summaries <- run_trial(abm, stop = socmod::fixated)$summarise()
# ...returned as list; extract each from list output...
observations <- summaries$observations
outcomes <- summaries$outcomes
# ...or use default summary plotters; note get ggplot object returned;
# could have optional `save_name` named param, null by default, saves there
# if provided
p_obs <- trial$plot_series(summary = "observations", summary_f = socmod::summary_default_prevalence, ) + ggtitle("Prevalence plot")
p_obs <- trial$plot_series(summary = "observations", summary_f = socmod::summary_default_success) + ggtitle
First step should be to figure out the defaults. Not so relevant for immediate goals at the moment: problem set 2 that has the minority-majority work based on smexamples, and group-structure doesn't yet seem like it should be part of a set of simple, intuition-building defaults.
Rename depending on if they summarise observations of simulated dynamics (time series) or outcomes (success rate). Or, do something that looks like type-based metaprogramming to change how a single function, i.e.,
summarise, works depending on the input. Or maybe, even better:First step should be to figure out the defaults. Not so relevant for immediate goals at the moment: problem set 2 that has the minority-majority work based on smexamples, and group-structure doesn't yet seem like it should be part of a set of simple, intuition-building defaults.