Remove/replace/extract words with repeating characters. The word must contain characters, each repeating at east 2 times
rm_repeated_characters(text.var, trim = !extract, clean = TRUE,
pattern = "@rm_repeated_characters", replacement = "", extract = FALSE,
dictionary = getOption("regex.library"), ...)ex_repeated_characters(text.var, trim = !extract, clean = TRUE,
pattern = "@rm_repeated_characters", replacement = "", extract = TRUE,
dictionary = getOption("regex.library"), ...)
The text variable.
logical. If TRUE removes leading and trailing white
spaces.
trim logical. If TRUE extra white spaces and escaped
character will be removed.
A character string containing a regular expression (or
character string for fixed = TRUE) to be matched in the given
character vector. Default, @rm_repeated_characters uses the
rm_repeated_characters regex from the regular expression dictionary from
the dictionary argument.
Replacement for matched pattern.
logical. If TRUE the words with repeating characters
are extracted into a list of vectors.
A dictionary of canned regular expressions to search within
if pattern begins with "@rm_".
Other arguments passed to gsub.
Returns a character string with percentages removed.
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_phrases,
rm_repeated_words, rm_tag,
rm_time, rm_title_name,
rm_url, rm_white,
rm_zip
# NOT RUN {
x <- "aaaahahahahaha that was a good joke peep and pepper and pepe"
rm_repeated_characters(x)
ex_repeated_characters(x)
# }
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