rm_caps: Remove/Replace/Extract All Caps

In qdapRegex: Regular Expression Removal, Extraction, and Replacement Tools

Remove/Replace/Extract All Caps

Description

Remove/replace/extract 'all caps' words containing 2 or more consecutive upper case letters from a string.

Usage

rm_caps(
  text.var,
  trim = !extract,
  clean = TRUE,
  pattern = "@rm_caps",
  replacement = "",
  extract = FALSE,
  dictionary = getOption("regex.library"),
  ...
)

ex_caps(
  text.var,
  trim = !extract,
  clean = TRUE,
  pattern = "@rm_caps",
  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_caps uses the rm_caps regex from the regular expression dictionary from the dictionary argument.
replacement	Replacement for matched pattern.
extract	logical. If TRUE the all caps strings 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 "all caps" removed.

See Also

gsub, stri_extract_all_regex

Other rm_ functions: rm_abbreviation(), rm_between(), rm_bracket(), 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_repeated_words(), rm_tag(), rm_time(), rm_title_name(), rm_url(), rm_white(), rm_zip()

Examples

x <- c("UGGG! When I use caps I am YELLING!")
rm_caps(x)
rm_caps(x, replacement="\\L\\1")
ex_caps(x)

qdapRegex documentation built on April 4, 2025, 4:35 a.m.