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qdapRegex (version 0.4.0)

rm_non_words: Remove/Replace/Extract Non-Words

Description

rm_non_words - Remove/replace/extract non-words (Anything that's not a letter or apostrophe; also removes multiple white spaces) from a string.

Usage

rm_non_words(text.var, trim = !extract, clean = TRUE,
  pattern = "@rm_non_words", 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_non_words uses the rm_non_words regex from the regular expressio
replacement
Replacement for matched pattern (Note: default is " ", whereas most qdapRegex functions replace with "").
extract
logical. If TRUE the non-words 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 non-words removed.

See Also

gsub, stri_extract_all_regex Other rm_.functions: as_numeric, as_numeric2, rm_number; 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_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_zip

Examples

Run this code
x <- c(
    "I like 56 dogs!",
    "It's seventy-two feet from the px290.",
    NA,
    "What",
    "that1is2a3way4to5go6.",
    "What do you*% want?  For real%; I think you'll see.",
    "Oh some <html>code</html> to remove"
)

rm_non_words(x)
rm_non_words(x, extract=TRUE)

## For extraction purposes the following setup is more useful:
rm_default(x, pattern = "[^A-Za-z' ]", extract=TRUE)

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