qdapRegex (version 0.3.2)

rm_nchar_words: Remove/Replace/Extract N Letter Words

Description

Remove/replace/extract words that are n letters in length (apostrophes not counted).

Usage

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

Arguments

text.var

The text variable.

n

The number of letters counted in the word.

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 (see Details for additional information). Default, @rm_nchar_words uses the rm

replacement

Replacement for matched pattern.

extract

logical. If TRUE the n letter 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 n letter words removed.

Details

The default regular expression used by rm_nchar_words counts letter length, not characters. This means that apostrophes are not include in the character count. This behavior can be altered (to include apostrophes in the character count) by using a secondary regular expression from the regex_usa data (or other dictionary) via (pattern = "@rm_nchar_words2"). See Examples for example usage.

References

The n letter/character word regular expression was taken from: http://stackoverflow.com/a/25243885/1000343

See Also

gsub, stri_extract_all_regex Other rm_.functions: 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_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_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

x <- "This Jon's dogs' 'bout there in word Mike's re'y."
rm_nchar_words(x, 4)
rm_nchar_words(x, 4, extract=TRUE)

## Count characters (apostrophes and letters)
rm_nchar_words(x, 5, extract=TRUE, pattern = "@rm_nchar_words2")

## Larger example
library(qdap)
rm_nchar_words(hamlet$dialogue, 5, extract=TRUE)