qdapRegex (version 0.7.10)

rm_title_name: Remove/Replace/Extract Title + Person Name

Description

Remove/replace/extract title (honorific) + person name(s) from a string.

Usage

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"),
  ...
)

Value

Returns a character string with person tags 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_title_name uses the rm_title_name regex from the regular expression dictionary from the dictionary argument.

replacement

Replacement for matched pattern.

extract

logical. If TRUE the person tags 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.

See Also

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()

Examples

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)