qdapRegex (version 0.3.2)

rm_white: Remove/Replace/Extract White Space

Description

rm_white - Remove multiple white space (> 1 becomes a single white space), white space before a comma, white space before a single or consecutive combination of a colon, semicolon, or endmark (period, question mark, or exclamation point), white space after a left bracket ("{", "(", "[") or before a right bracket ("}", ")", "]"), leading or trailing white space. rm_white_bracket - Remove white space after a left bracket ("{", "(", "[") or before a right bracket ("}", ")", "]"). rm_white_colon - Remove white space before a single or consecutive combination of a colon, semicolon. rm_white_comma - Remove white space before a comma. rm_white_endmark - Remove white space before endmark(s) (".", "?", "!"). rm_white_lead - Remove leading white space. rm_white_lead_trail - Remove leading or trailing white space. rm_white_trail - Remove trailing white space. rm_white_multiple - Remove multiple white space (> 1 becomes a single white space). rm_white_punctuation - Remove multiple white space before a comma, white space before a single or consecutive combination of a colon, semicolon, or endmark (period, question mark, or exclamation point).

Usage

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

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

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

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

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

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

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

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

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

rm_white_punctuation(text.var, trim = !extract, clean = TRUE,
  pattern = "@rm_white_punctuation", replacement = "", extract = FALSE,
  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_dollar uses the rm_dollar regex from the regular expression dict

replacement

Replacement for matched pattern.

extract

logical. If TRUE the dollar 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 extra white space removed.

References

The rm_white_endmark/rm_white_punctuation regular expression was taken from: http://stackoverflow.com/a/25464921/1000343

See Also

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_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_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_zip

Examples

x <-  c("There is ( $5.50 ) for , me . ", "that's [ 45.6% ] of! the pizza !",
    "14% is { $26  } or $25.99 ?", "Oh ;  here's colon : Yippee !")

rm_white(x)
rm_white_bracket(x)
rm_white_colon(x)
rm_white_comma(x)
rm_white_endmark(x)
rm_white_lead(x)
rm_white_trail(x)
rm_white_lead_trail(x)
rm_white_multiple(x)
rm_white_punctuation(x)