qdapRegex (version 0.7.5)

rm_non_ascii: Remove/Replace/Extract Non-ASCII

Description

Remove/replace/extract non-ASCII substring from a string. This is the template used by other qdapRegex rm_XXX functions.

Usage

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

Value

Returns a character string with "all non-ascii" removed.

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_ascii uses the rm_non_ascii regex from the regular expression dictionary from the dictionary argument. If extract = FALSE gsub is not used as with other rm_XXX functions, rather iconv with the sub argument set is used to conduct the subbing.

replacement

Replacement for matched pattern.

extract

logical. If TRUE the all non-ASCII strings are extracted into a list of vectors.

dictionary

A dictionary of canned regular expressions to search within if pattern begins with "@rm_".

ascii.out

logical. If TRUE output is given in non-ASCII format, otherwise "byte" is used.

...

ignored.

Warning

iconv is used within rm_non_ascii. iconv's behavior across operating systems may not be consistent.

Author

stackoverflow's MrFlick, hwnd, and Tyler Rinker <[e-mail]>.

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_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()

Examples

x <- c("Hello World", "Ekstr\xf8m", "J\xf6reskog", "bi\xdfchen Z\xfcrcher")
Encoding(x) <- "latin1"
x

rm_non_ascii(x)
rm_non_ascii(x, replacement="<>")
ex_non_ascii(x)
ex_non_ascii(x, ascii.out=FALSE)

## simple regex to remove non-ascii
rm_default(x, pattern="[^ -~]")
ex_default(x, pattern="[^ -~]")

Run the code above in your browser using DataCamp Workspace