library(dplyr)
x <- data.frame(value = NA, weight = NA, seed = NA, type = NA)
for(i in 0:14){
x <- x %>%
dplyr::bind_rows(readRDS(paste0("theta_df_", i, ".RData"))) %>%
dplyr::bind_rows(readRDS(paste0("theta_stan_", i, ".RData")))
}
saveRDS(x, file = "combined_df.rds")
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