qdapRegex (version 0.7.8)

rm_repeated_words: Remove/Replace/Extract Repeating Words

Description

Remove/replace/extract repeating words from a string.

Usage

rm_repeated_words(
  text.var,
  trim = !extract,
  clean = TRUE,
  pattern = "@rm_repeated_words",
  replacement = "",
  extract = FALSE,
  dictionary = getOption("regex.library"),
  ...
)
ex_repeated_words(
  text.var,
  trim = !extract,
  clean = TRUE,
  pattern = "@rm_repeated_words",
  replacement = "",
  extract = TRUE,
  dictionary = getOption("regex.library"),
  ...
)

Value

Returns a character string with percentages 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_repeated_words uses the rm_repeated_words regex from the regular expression dictionary from the dictionary argument.

replacement

Replacement for matched pattern.

extract

logical. If TRUE the repeated words 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_phrase(), rm_caps(), rm_citation_tex(), rm_citation(), rm_city_state_zip(), rm_city_state(), 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_tag(), rm_time(), rm_title_name(), rm_url(), rm_white(), rm_zip()

Examples

x <- c(
    "this is a big is a Big deal",
    "I want want to see",
    "I want, want to see",
    "I want...want to see see see how",
    "I like it. It is cool",
    "this is a big is a Big deal for those of, those of you who are."
)

rm_repeated_words(x)
ex_repeated_words(x)