rm_postal_code function

Remove/Replace/Extract Postal Codes

Remove/replace/extract postal codes.

rm_postal_code(
  text.var,
  trim = !extract,
  clean = TRUE,
  pattern = "@rm_postal_code",
  replacement = "",
  extract = FALSE,
  dictionary = getOption("regex.library"),
  ...
)

ex_postal_code(
  text.var,
  trim = !extract,
  clean = TRUE,
  pattern = "@rm_postal_code",
  replacement = "",
  extract = TRUE,
  dictionary = getOption("regex.library"),
  ...
)

Arguments

• text.var: The text variable.
• trim: logical. If TRUE removes leading and trailing white spaces.
• clean: trim logical. If TRUE extra white spaces and escaped character will be removed.
• pattern: A character string containing a regular expression (or character string for fixed = TRUE) to be matched in the given character vector. Default, @rm_postal_code uses the rm_postal_code regex from the regular expression dictionary from the dictionary argument.
• replacement: Replacement for matched pattern.
• extract: logical. If TRUE the city & state are extracted into a list of vectors.
• dictionary: A dictionary of canned regular expressions to search within if pattern begins with "@rm_".
• ...: Other arguments passed to gsub.

Returns

Returns a character string with postal codes removed.

Examples

x <- c("Anchorage, AK", "New York City, NY", "Some Place, Another Place, LA")
rm_postal_code(x)
ex_postal_code(x)

See Also

gsub, stri_extract_all_regex

Other rm_ functions: rm_abbreviation(), rm_between(), rm_bracket(), rm_caps(), rm_caps_phrase(), rm_citation(), rm_citation_tex(), rm_city_state(), rm_city_state_zip(), rm_date(), rm_default(), rm_dollar(), rm_email(), rm_emoticon(), rm_endmark(), rm_hash(), rm_nchar_words(), rm_non_ascii(), rm_non_words(), rm_number(), rm_percent(), rm_phone(), rm_repeated_characters(), rm_repeated_phrases(), rm_repeated_words(), rm_tag(), rm_time(), rm_title_name(), rm_url(), rm_white(), rm_zip()