qdapRegex (version 0.7.2)

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, ...)

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.

Value

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

Warning

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

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

Run this code
# NOT RUN {
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="<<FLAG>>")
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="[^ -~]")
# }

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