Remove/replace/extract dollars amounts from a string.
rm_dollar(text.var, trim = !extract, clean = TRUE, pattern = "@rm_dollar",
replacement = "", extract = FALSE,
dictionary = getOption("regex.library"), ...)ex_dollar(text.var, trim = !extract, clean = TRUE, pattern = "@rm_dollar",
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_dollar
uses the
rm_dollar
regex from the regular expression dictionary from
the dictionary
argument.
Replacement for matched pattern
.
logical. If TRUE
the dollar strings 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 dollars 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_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