rm_white: Remove/Replace/Extract White Space

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

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"),
  ...
)

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

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

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

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

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

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

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

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

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

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

ex_white_lead(
  text.var,
  trim = FALSE,
  clean = FALSE,
  pattern = "@rm_white_lead",
  replacement = "",
  extract = TRUE,
  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"),
  ...
)

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

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

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

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

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

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

ex_white_punctuation(
  text.var,
  trim = !extract,
  clean = TRUE,
  pattern = "@rm_white_punctuation",
  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_dollar uses the rm_dollar regex from the regular expression dictionary from the dictionary argument.
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.

Author(s)

rm_white_endmark/rm_white_punctuation - stackoverflow's hwnd and Tyler Rinker <[e-mail]>.

References

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

See Also

gsub, stri_extract_all_regex

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_characters(), rm_repeated_phrases(), rm_repeated_words(), rm_tag(), rm_time(), rm_title_name(), 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)

trinker/qdapRegex documentation built on Oct. 19, 2023, 11:31 p.m.