#' nwos_estimates_combine
#'
#' Combine rep output by rep_geo and geo
#'
#' @export
#'
nwos_estimates_combine <- function(stratum = "FFO", domain = "ONEPLUS", wd = "DATA", n.cores = 1) {
require(tidyverse)
require(parallel)
# n.cores <- detectCores() - 1
dir.create(paste0(wd, "/REP_GEO"), showWarnings = FALSE)
dir.create(paste0(wd, "/GEO"), showWarnings = FALSE)
files <- list.files(paste0(wd, "/REP"), pattern = ".RDS")
files <- files[!files %in% c("QUEST_20200212.RDS", "REP_WEIGHTS_20200212.RDS")]
data <- readRDS(paste0(wd, "/REP/",files[1]))
geo.list <- data %>% distinct(GEO) %>% pull()
write_geo_rep <- function(geo = "US") {
data.geo <- data %>% filter(GEO %in% geo)
rep <- data.geo %>% distinct(REP) %>% pull()
saveRDS(data.geo, paste0(wd, "/REP_GEO/" , stratum, "_", domain, "_", rep, "_", geo, ".RDS"))
}
for(i in files) {
print(i)
# data <- readRDS(i)
data <- readRDS(paste0(wd, "/REP/", i))
invisible(mclapply(geo.list, write_geo_rep, mc.cores = n.cores))
# invisible(lapply(geo.list, write_geo_rep))
}
files.geo.list <- list.files(paste0(wd, "/REP_GEO"), pattern = ".RDS", full.names = T)
for(i in geo.list) { # 1:64 [55]
print(i)
files.geo <- files.geo.list[grep(paste0("_", i, ".RDS"), files.geo.list)]
data <- bind_rows(mclapply(files.geo,
function(x) {readRDS(x) %>% mutate(REP = as.numeric(REP))},
mc.cores = n.cores))
# data <- bind_rows(lapply(files.geo,
# function(x) {readRDS(x) %>% mutate(REP = as.numeric(REP))}))
saveRDS(data, paste0(wd, "/GEO/" , stratum, "_", domain, "_", i, ".RDS"))
}
}
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