| rm_email | R Documentation |
Remove/replace/extract email addresses from a string.
rm_email(
text.var,
trim = !extract,
clean = TRUE,
pattern = "@rm_email",
replacement = "",
extract = FALSE,
dictionary = getOption("regex.library"),
...
)
ex_email(
text.var,
trim = !extract,
clean = TRUE,
pattern = "@rm_email",
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 email addresses removed.
Barry Rowlingson and Tyler Rinker <tyler.rinker@gmail.com>.
The email regular expression was taken from: https://stackoverflow.com/a/25077704/1000343
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_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 <- paste("fred is fred@foo.com and joe is joe@example.com - but @this is a
twitter handle for twit@here.com or foo+bar@google.com/fred@foo.fnord")
x2 <- c("fred is fred@foo.com and joe is joe@example.com - but @this is a",
"twitter handle for twit@here.com or foo+bar@google.com/fred@foo.fnord",
"hello world")
rm_email(x)
rm_email(x, replacement = '<a href="mailto:\\1" target="_blank">\\1</a>')
ex_email(x)
ex_email(x2)
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