rm_repeated_words function

Remove/Replace/Extract Repeating Words

Remove/replace/extract repeating words from a string.

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"),
  ...
)

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.

Returns

Returns a character string with percentages removed.

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)

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_tag(), rm_time(), rm_title_name(), rm_url(), rm_white(), rm_zip()