rm_caps(text.var, trim = !extract, clean = TRUE, pattern = "@rm_caps",
replacement = "", extract = FALSE,
dictionary = getOption("regex.library"), ...)TRUE removes leading and trailing white
spaces.TRUE extra white spaces and escaped
character will be removed.fixed = TRUE) to be matched in the given
character vector. Default, @rm_caps uses the
rm_caps regex from the regular expression dictionapattern.TRUE the all caps strings are extracted
into a list of vectors.pattern begins with "@rm_".gsub.gsub,
stri_extract_all_regex
Other rm_.functions: rm_abbreviation;
rm_angle, rm_bracket,
rm_bracket_multiple,
rm_curly, rm_round,
rm_square; rm_between,
rm_between_multiple;
rm_caps_phrase;
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_number; rm_percent;
rm_phone; rm_postal_code;
rm_repeated_characters;
rm_repeated_phrases;
rm_repeated_words; rm_tag;
rm_time; rm_title_name;
rm_twitter_url, rm_url;
rm_white, rm_white_bracket,
rm_white_colon,
rm_white_comma,
rm_white_endmark,
rm_white_lead,
rm_white_lead_trail,
rm_white_multiple,
rm_white_punctuation,
rm_white_trail; rm_zipx <- c("UGGG! When I use caps I am YELLING!")
rm_caps(x)
rm_caps(x, replacement="\\L\\1")
rm_caps(x, extract=TRUE)Run the code above in your browser using DataLab