Hey DD community,
For one of the designs I was working on with a friend, we were able to create a really nice visual where we compared sample size to power:
change_vote_ate %>% get_diagnosands() %>% mutate(N_per_country = N_per_country * 2) %>% mutate(N = factor(N_per_country)) %>% ggplot(aes(N, power, fill = estimator_label, group = estimator_label)) + geom_bar(position = "dodge", stat = "identity") + geom_hline(yintercept = 0.8)
In your designs, what do you think is useful to visualize? What variables do you end up graphing a lot?