S2 <- sc_two_seasons |>
group_split(Season) |>
map(bin_rates, LA_breaks, LS_breaks) |>
set_names(c(2021, 2023)) |>
list_rbind(names_to = "year")
logit <- function(x){
log(x) - log(100 - x)
}
d_BIP <- S2 |>
select(year, LA, LS, BIP_Rate) |>
pivot_wider(
names_from = year, names_prefix = "y",
values_from = BIP_Rate
) |>
mutate(d_BIP_logits = logit(y2023) - logit(y2021))