qdapRegex (version 0.7.5)

rm_postal_code: Remove/Replace/Extract Postal Codes

Description

Remove/replace/extract postal codes.

Usage

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"),
  ...
)

Value

Returns a character string with postal codes removed.

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.

See Also

gsub, stri_extract_all_regex

Other rm_ functions: rm_abbreviation(), rm_between(), rm_bracket(), rm_caps_phrase(), rm_caps(), rm_citation_tex(), rm_citation(), rm_city_state_zip(), 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_repeated_characters(), rm_repeated_phrases(), rm_repeated_words(), rm_tag(), rm_time(), rm_title_name(), rm_url(), rm_white(), rm_zip()

Examples

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

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