| rm_city_state_zip {qdapRegex} | R Documentation |
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"), ...)
text.var |
The text variable. |
trim |
logical. If |
clean |
trim logical. If |
pattern |
A character string containing a regular expression (or
character string for |
replacement |
Replacement for matched |
extract |
logical. If |
dictionary |
A dictionary of canned regular expressions to search within
if |
... |
Other arguments passed to |
Returns a character string with city, state, & zip removed.
Other rm_ functions: rm_abbreviation,
rm_between, rm_bracket,
rm_caps_phrase, rm_caps,
rm_citation_tex, rm_citation,
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
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)