| rm_city_state | 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) from a string.
rm_city_state(
text.var,
trim = !extract,
clean = TRUE,
pattern = "@rm_city_state",
replacement = "",
extract = FALSE,
dictionary = getOption("regex.library"),
...
)
ex_city_state(
text.var,
trim = !extract,
clean = TRUE,
pattern = "@rm_city_state",
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 removed.
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_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_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 for food! ",
"It's in West ven,PA, near Bolly Bolly Bolly, CA!",
"I like Movies, PG13")
rm_city_state(x)
ex_city_state(x)
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