Remove/Replace/Extract Non-Words
rm_non_words - Remove/replace/extract non-words (Anything that's not a letter or apostrophe; also removes multiple white spaces) from a string.
rm_non_words( text.var, trim = !extract, clean = TRUE, pattern = "@rm_non_words", replacement = " ", extract = FALSE, dictionary = getOption("regex.library"), ... ) ex_non_words( text.var, trim = !extract, clean = TRUE, pattern = "[^A-Za-z' ]+", replacement = " ", extract = TRUE, dictionary = getOption("regex.library"), ... )
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 expression dictionary from the dictionary argument.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.Returns a character string with non-words removed.
Setting the argument extract = TRUE is not very useful. Use the following setup instead (see Examples for a demonstration).
rm_default(x, pattern = "[^A-Za-z' ]", extract=TRUE)
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) ex_non_words(x)
gsub, stri_extract_all_regex
Other rm_ functions: rm_abbreviation(), rm_between(), rm_bracket(), rm_caps(), 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_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()