| rm_phone | R Documentation |
Remove/replace/extract phone numbers from a string.
rm_phone(
text.var,
trim = !extract,
clean = TRUE,
pattern = "@rm_phone",
replacement = "",
extract = FALSE,
dictionary = getOption("regex.library"),
...
)
ex_phone(
text.var,
trim = !extract,
clean = TRUE,
pattern = "@rm_phone",
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 phone numbers removed.
stackoverflow's Marius and Tyler Rinker <tyler.rinker@gmail.com>.
The phone regular expression was taken from: https://stackoverflow.com/a/21008254/1000343
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_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_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 <- c(" Mr. Bean bought 2 tickets 2-613-213-4567 or 5555555555 call either one",
"43 Butter Rd, Brossard QC K0A 3P0 - 613 213 4567",
"Please contact Mr. Bean (613)2134567",
"1.575.555.5555 is his #1 number",
"7164347566",
"I like 1234567 dogs"
)
rm_phone(x)
ex_phone(x)
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