Remaps the race column to a standardized code across data years

The race coding in MCOD data changed repeatedly. Through 2020 the bridged-race detailed `race` column is standardized to a common set (white, black, American Indian, and the Asian/Pacific Islander subgroups, with the remainder collapsed to 99). From 2022 the bridged race column is gone; this reads the single-race Race Recode 6 (`racer5`) instead and maps it to a non-colliding code space (101-106) so bridged and single-race values can share one column without being confused. Data year 2021 is a transition gap – the bridged race fields are dropped and the single-race recodes are not yet populated – so `race` is set to NA.

Usage

remap_race(icd_df, year = NULL)

Arguments

icd_df: an MCOD dataframe (a single data year)
year: year of file; if NULL will try to extract year automatically

Value

dataframe with a standardized `race` column

Details

Bridged (2020 and earlier) and single-race (2022+) codes are NOT comparable and must not be chained into a single trend. Use with categorize_race().

Examples

df <- data.frame(year = 2019, race = c(1, 2, 3, 18))
remap_race(df, year = 2019)
#>   year race
#> 1 2019    1
#> 2 2019    2
#> 3 2019    3
#> 4 2019   99