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A single addr in y is chosen for each addr in x. Matching is staged to reduce the search space: ZIP codes are matched first, street names are then matched within each matched ZIP code, and street numbers are finally matched within each matched street and ZIP code combination. If more than one candidate addr remains in y after these stages, the first candidate in y is returned.

Missing or empty address components that cannot be matched at any stage are left missing in the returned addr() values. Rows with a matched ZIP code but no street match return an addr with only @place@zipcode filled; rows with matched ZIP code and street but no number match also return the matched @street.

addr_match() accepts raw reference data and prepares it internally, which is the right default for one-off matching jobs. addr_match_prepare() becomes useful when the same reference y will be reused across multiple calls to addr_match(), because it caches the deduplicated reference addresses and ZIP/street/number candidate lookups once instead of rebuilding them on every call.

Preparing y once avoids recomputing unique(y), ZIP-code groups, and exact street/number candidate lookups each time you call addr_match() with the same reference addresses. For a single end-to-end match, preparing y explicitly does not remove that work; it only moves it outside addr_match().

Usage

addr_match(
  x,
  y,
  zip_variants = TRUE,
  name_phonetic_dist = 2L,
  name_fuzzy_dist = 1L,
  number_fuzzy_dist = 1L,
  match_street_predirectional = TRUE,
  match_street_posttype = TRUE,
  match_street_pretype = TRUE,
  match_street_postdirectional = FALSE,
  progress = interactive()
)

addr_match_prepare(y, progress = interactive())

Arguments

x

addr vector to match

y

addr vector to match against, or a prepared addr_match_index created by addr_match_prepare()

zip_variants

logical; fuzzy match to common variants of x in y? (e.g., changing 4th or 5th digit)

name_phonetic_dist

integer; maximum optimized string alignment distance between phonetic_street_key() of x and y to consider a possible match

name_fuzzy_dist

integer; maximum optimized string alignment distance between @name of x and y to consider a possible match

number_fuzzy_dist

integer; maximum optimized string alignment distance between @number of x and y to consider a possible match

match_street_predirectional

logical; require street predirectional to match when selecting street candidates?

match_street_posttype

logical; require street posttype to match when selecting street candidates?

match_street_pretype

logical; require street pretype to match when selecting street candidates?

match_street_postdirectional

logical; require street postdirectional to match when selecting street candidates?

progress

logical; show reference-preparation timing and a progress bar while preparing raw y or processing matched ZIP groups?

Value

an addr vector, the same length as x, that is the best match in y for each addr in x. Partial matches are returned with matched ZIP code and/or street fields filled when later stages do not match.

Examples

the_addr <- nad_example_data(match_prepared = TRUE)
my_addr <- as_addr(
  c(
    "2700 Alice St 45222",
    "10623 Srpingfield Pike 45215",
    "173 Wuhlper Ave 45220",
    "12176 8th Ave 45249",
    "12176 7ht Ave 45249",
    "10 W 14th St 45202",
    "10 Oak Rd 45241"
  )
)

addr_match(my_addr, the_addr)
#> <addr>
#>  @ number: <addr_number> function ()  
#>  .. @ prefix: chr [1:7] "" "" "" "" "" "" NA
#>  .. @ digits: chr [1:7] "2700" "10623" "173" "12176" "12176" "10" NA
#>  .. @ suffix: chr [1:7] "" "" "" "" "" "" NA
#>  @ street: <addr_street> function ()  
#>  .. @ predirectional : chr [1:7] "" "" "" "" "" "W" ""
#>  .. @ premodifier    : chr [1:7] "" "" "" "" "" "" ""
#>  .. @ pretype        : chr [1:7] "" "" "" "" "" "" ""
#>  .. @ name           : chr [1:7] "ALICE" "SPRINGFIELD" "WOOLPER" "7TH" "7TH" "14TH" ...
#>  .. @ posttype       : chr [1:7] "St" "Pike" "Ave" "Ave" "Ave" "St" "Rd"
#>  .. @ postdirectional: chr [1:7] "" "" "" "" "" "" ""
#>  @ place : <addr_place> function ()  
#>  .. @ name   : chr [1:7] "CINCINNATI" "CINCINNATI" "CINCINNATI" "CINCINNATI" ...
#>  .. @ state  : chr [1:7] "OH" "OH" "OH" "OH" "OH" "OH" NA
#>  .. @ zipcode: chr [1:7] "45221" "45215" "45220" "45249" "45249" "45202" ...

addr_match(
  my_addr,
  the_addr,
  zip_variants = FALSE,
  name_phonetic_dist = 0L,
  name_fuzzy_dist = 0L,
  number_fuzzy_dist = 0L,
  match_street_predirectional = FALSE,
  match_street_posttype = FALSE,
  match_street_pretype = FALSE,
  match_street_postdirectional = FALSE
)
#> <addr>
#>  @ number: <addr_number> function ()  
#>  .. @ prefix: chr [1:7] NA NA NA NA NA "" NA
#>  .. @ digits: chr [1:7] NA NA NA NA NA "10" NA
#>  .. @ suffix: chr [1:7] NA NA NA NA NA "" NA
#>  @ street: <addr_street> function ()  
#>  .. @ predirectional : chr [1:7] NA NA NA NA NA "W" ""
#>  .. @ premodifier    : chr [1:7] NA NA NA NA NA "" ""
#>  .. @ pretype        : chr [1:7] NA NA NA NA NA "" ""
#>  .. @ name           : chr [1:7] NA NA NA NA NA "14TH" "OAK"
#>  .. @ posttype       : chr [1:7] NA NA NA NA NA "St" "St"
#>  .. @ postdirectional: chr [1:7] NA NA NA NA NA "" ""
#>  @ place : <addr_place> function ()  
#>  .. @ name   : chr [1:7] NA NA NA NA NA "CINCINNATI" NA
#>  .. @ state  : chr [1:7] NA NA NA NA NA "OH" NA
#>  .. @ zipcode: chr [1:7] NA "45215" "45220" "45249" "45249" "45202" "45241"

my_addr <- as_addr(voter_addresses()[1:100])

d <- addr_match(my_addr, the_addr)
d
#> <addr>
#>  @ number: <addr_number> function ()  
#>  .. @ prefix: chr [1:100] "" "" "" "" "" "" "" "" "" "" "" "" "" "" "" "" "" ...
#>  .. @ digits: chr [1:100] "3359" "1040" "9960" "413" "8519" "6361" "10466" ...
#>  .. @ suffix: chr [1:100] "" "" "" "" "" "" "" "" "" "" "" "" "" "" "" "" "" ...
#>  @ street: <addr_street> function ()  
#>  .. @ predirectional : chr [1:100] "" "" "" "" "" "" "" "" "" "" "" "" "" "" "" "" "" ...
#>  .. @ premodifier    : chr [1:100] "" "" "" "" "" "" "" "" "" "" "" "" "" "" "" "" "" ...
#>  .. @ pretype        : chr [1:100] "" "" "" "" "" "" "" "" "" "" "" "" "" "" "" "" "" ...
#>  .. @ name           : chr [1:100] "QUEEN CITY" "KREIS" "DALY" "VOLKERT" "LINDERWOOD" ...
#>  .. @ posttype       : chr [1:100] "Ave" "Ln" "Rd" "Pl" "Ln" "Ave" "Ln" "Cir" "Ave" ...
#>  .. @ postdirectional: chr [1:100] "" "" "" "" "" "" "" "" "" "" "" "" "" "" "" "" "" ...
#>  @ place : <addr_place> function ()  
#>  .. @ name   : chr [1:100] "CINCINNATI" "CINCINNATI" "CINCINNATI" "CINCINNATI" ...
#>  .. @ state  : chr [1:100] "OH" "OH" "OH" "OH" "OH" "OH" "OH" "OH" "OH" "OH" ...
#>  .. @ zipcode: chr [1:100] "45238" "45205" "45231" "45219" "45255" "45230" ...

addr_match_stage(d)
#>   [1] number number number number number number number number number number
#>  [11] number number number number number number number number number number
#>  [21] number number number number number number number number number number
#>  [31] number number number number number number number zip    number number
#>  [41] number number number number number number number number number number
#>  [51] number number number number number number number number number number
#>  [61] number street number number number zip    street number number number
#>  [71] number number number number zip    street zip    number number number
#>  [81] street number number number number number zip    number zip    number
#>  [91] street number number number number number number number number number
#> Levels: none < zip < street < number