rm_city_state_zip | 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.
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()
,
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)
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