# devtools::load_all()
L <- vector(mode = "list", length = 8)
for(i in 1:4){
L[[i]] <- vector(mode = "list", length = 43)
}
for(i in 5:8){
L[[i]] <- vector(mode = "list", length = 7)
}
# WL 1 - Track, detailed
for(i in 1:43){
L[[1]][[i]] <- (168 * (i - 1)) + 1:168
}
tract_nums_pad <- stringr::str_pad(1:43, 2, pad = "0")
# WL 2 - Tract, HH/GQ
for(i in 1:43){
L[[2]][[i]] <-
which(X_info$region_type == "TRACT" &
X_info$query == "hhgq" &
X_info$region_id == tract_nums_pad[i])
}
# WL 3 - Tract, Age x sex
for(i in 1:43){
L[[3]][[i]] <-
which(X_info$region_type == "TRACT" &
X_info$query == "age_sex" &
X_info$region_id == tract_nums_pad[i])
}
# WL 4 - Tract, votingAge_hisp_cenrace
for(i in 1:43){
L[[4]][[i]] <-
which(X_info$region_type == "TRACT" &
X_info$query == "votingAge_hisp_cenrace" &
X_info$region_id == tract_nums_pad[i])
}
# WL 5 - County, HH/GQ
for(i in 1:7){
L[[5]][[i]] <-
which(X_info$region_type == "COUNTY" &
X_info$query == "hhgq" &
X_info$region_id == i)
}
# WL 6 - County, Age x sex
for(i in 1:7){
L[[6]][[i]] <-
which(X_info$region_type == "COUNTY" &
X_info$query == "age_sex" &
X_info$region_id == i)
}
# WL 7 - county, votingAge_hisp_cenrace
for(i in 1:7){
L[[7]][[i]] <-
which(X_info$region_type == "COUNTY" &
X_info$query == "votingAge_hisp_cenrace" &
X_info$region_id == i)
}
# WL 8 - county, detailed_or_total
for(i in 1:7){
L[[8]][[i]] <-
which(X_info$region_type == "COUNTY" &
X_info$query == "detailed_or_total" &
X_info$region_id == i)
}
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