rm_email: Remove/Replace/Extract Email Addresses

Description

Remove/replace/extract email addresses from a string.

Usage

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"),
  ...
)

Value

Returns a character string with email addresses removed.

Arguments

text.var: The text variable.
trim: logical. If TRUE removes leading and trailing white spaces.
clean: trim logical. If TRUE extra white spaces and escaped character will be removed.
pattern: A character string containing a regular expression (or character string for fixed = TRUE) to be matched in the given character vector. Default, @rm_email uses the rm_email regex from the regular expression dictionary from the dictionary argument.
replacement: Replacement for matched pattern.
extract: logical. If TRUE the emails are extracted into a list of vectors.
dictionary: A dictionary of canned regular expressions to search within if pattern begins with "@rm_".
...: Other arguments passed to gsub.

Author

Barry Rowlingson and Tyler Rinker <tyler.rinker@gmail.com>.

References

The email regular expression was taken from: https://stackoverflow.com/a/25077704/1000343

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()

Examples

Run this code

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 = '\\1')
ex_email(x)
ex_email(x2)

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