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updating ia script #51

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Merged
wcurrangroome merged 1 commit into from
Oct 1, 2025
Merged

updating ia script #51

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12 changes: 7 additions & 5 deletions R/get_ihp_registrations.R
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Original file line number Diff line number Diff line change
Expand Up @@ -98,12 +98,15 @@ get_ihp_registrations = function(
## in which case we assume we attribute all of the given record to non-missing county
is.na(allocation_factor_zcta_to_county) & !is.na(geoid_county) ~ 1,
TRUE ~ allocation_factor_zcta_to_county),
state_name, state_abbreviation, state_code,
geoid_county = dplyr::if_else(is.na(geoid_county), county_code, geoid_county),
zcta_code = zip_code, geoid_tract, geoid_block_group,
zcta_code = zip_code, geoid_tract, geoid_block_group, disaster_number,
amount_individual_housing_program, amount_housing_assistance, amount_other_needs_assistance,
amount_rental_assistance, amount_repairs, amount_replacement, amount_personal_property,
amount_flood_insurance_premium_paid_by_fema)
amount_flood_insurance_premium_paid_by_fema) %>%
dplyr::left_join(
tidycensus::fips_codes %>%
dplyr::select(state_name, state_abbreviation = state, state_code, geoid_county = county_code) %>%
dplyr::mutate(geoid_county = stringr::str_c(state_code, geoid_county)))

warning("
County identifiers in the raw data from FEMA have high missingness. For this reason, the data returned by this function reflect a many-to-many
Expand All @@ -117,7 +120,6 @@ What your workflow should look like:

df |>
dplyr::group_by(geoid_county) |>
dplyr::mutate(afact = dplyr::if_else(is.na(afact), 1, afact)) |>
dplyr::summarize(valid_registrations = sum(afact, na.rm = TRUE))")

message("
Expand Down Expand Up @@ -202,6 +204,6 @@ utils::globalVariables(c(
"fip_amount", "food_need", "gross_income", "ha_amount", "ha_max", "household_composition",
"ihp_amount", "ihp_max", "last_refresh", "ona_amount", "ona_max", "own_rent", "personal_property_amount",
"ppfvl", "rpfvl", "repair_amount", "replacement_amount", "rental_assistance_amount", "shelter_need",
"uuid", "zip_name", "zcta", "pop20", "state.abb", "ihp_registrations",
"uuid", "zip_name", "zcta", "pop20", "state.abb", "ihp_registrations", "disaster_number",
"amount_other_needs_assistance", "census_geoid", "geoid_block_group", "geoid_county",
"geoid_tract", "zcta_code"))