Find Closest City Match — clean

Instead of hard coding spelling on city names, use string distance to find the closest match and recode. For OC users, a reference list of correctly spelled city names have been included, as well as hard coding of common abbreviations/nicknames. For non-OC users, you will need to provide a vector or data.frame of correctly spelled city names for string distance matching.

Usage

clean_city(x, reference, threshold = 0.15, redcap = FALSE, ooc = TRUE)

Arguments

x: Character, input city data.
reference: Character, provide your own vector of correctly spelled city names for reference. For OC users, leave blank to use internal vector of OC city names.
threshold: Numeric, range 0 to 1. Controls sensitivity/specificity of string distance matching. Default set to 0.15.
redcap: Logical, convert character to numeric mapping for REDCap bulk upload.
ooc: Logical, choice to keep or recode out of county cities to NA.

Value

Character, returned city names with closest match to reference vector.

Examples

clean_city("Anahim")
#> [1] "Anaheim"
clean_city("Anahim", redcap = TRUE)
#> [1] "1"