rm_city_state_zip function

Remove/Replace/Extract City, State, & Zip

Remove/replace/extract city (single lower case word or multiple consecutive capitalized words before a comma and state) + state (2 consecutive capital letters) + zip code (5 digits or 5 + 4 digits) from a string.

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

ex_city_state_zip(
  text.var,
  trim = !extract,
  clean = TRUE,
  pattern = "@rm_city_state_zip",
  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_city_state_zip uses the rm_city_state_zip regex from the regular expression dictionary from the dictionary argument.
• replacement: Replacement for matched pattern.
• extract: logical. If TRUE the city, state, & zip 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 city, state, & zip removed.

Examples

x <- paste0("I went to Washington Heights, NY 54321 for food! ", 
   "It's in West ven,PA 12345, near Bolly Bolly Bolly, CA12345-1234!", 
   "hello world")
rm_city_state_zip(x)
ex_city_state_zip(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_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_postal_code(), rm_repeated_characters(), rm_repeated_phrases(), rm_repeated_words(), rm_tag(), rm_time(), rm_title_name(), rm_url(), rm_white(), rm_zip()