get_perc_dat <- function(mod)
{
summaries <- mod$res %>%
group_by(period) %>%
summarise(mean = mean(climate_variable_recon),
sd = sd(climate_variable_recon),
min = min(climate_variable_recon),
max = max(climate_variable_recon))
percentile_min <- percentile_max <- percentile_mean <- rep(NA, ncol(mod$recon_samps))
for(i in 1:ncol(mod$recon_samps))
{
perc=ecdf(mod$recon_samps[,i])
percentile_min[i] <- round(perc(summaries$min[1])*100)
percentile_max[i] <- 100-round(perc(summaries$max[1])*100)
percentile_mean[i] <- round(perc(summaries$mean[1])*100)
}
recon_years <- mod$res %>% filter(period == "recon") %>% pull(year)
perc_dat <- tibble(recon_years, percentile_min, percentile_max,percentile_mean)
return(perc_dat)
}
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