| rm_title_name | R Documentation |
Remove/replace/extract title (honorific) + person name(s) from a string.
rm_title_name(
text.var,
trim = !extract,
clean = TRUE,
pattern = "@rm_title_name",
replacement = "",
extract = FALSE,
dictionary = getOption("regex.library"),
...
)
ex_title_name(
text.var,
trim = !extract,
clean = TRUE,
pattern = "@rm_title_name",
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 person tags 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(),
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_url(),
rm_white(),
rm_zip()
x <- c("Dr. Brend is mizz hart's in mrs. Holtz's.",
"Where is mr. Bob Jr. and Ms. John Kennedy?")
rm_title_name(x)
ex_title_name(x)
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