rm_repeated_words: Remove/Replace/Extract Repeating Words

Description Usage Arguments Value See Also Examples

Description

Remove/replace/extract repeating words from a string.

Usage

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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.

Value

Returns a character string with percentages removed.

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

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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)


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