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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