rm_hash {qdapRegex}

Remove/Replace/Extract Hash Tags

Description

Remove/replace/extract hash tags from a string.

Usage

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

ex_hash(
  text.var,
  trim = !extract,
  clean = TRUE,
  pattern = "@rm_hash",
  replacement = "",
  extract = TRUE,
  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_hash uses the rm_hash regex from the regular expression dictionary from the dictionary argument.

replacement

Replacement for matched pattern.

extract

logical. If TRUE the hash tags 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 hash tags removed.

Author(s)

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

References

The hash tag regular expression was taken from: https://stackoverflow.com/a/25096474/1000343

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_nchar_words(), rm_non_ascii(), 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("@hadley I like #rstats for #ggplot2 work.",
    "Difference between #magrittr and #pipeR, both implement pipeline operators for #rstats: 
        http://renkun.me/r/2014/07/26/difference-between-magrittr-and-pipeR.html @timelyportfolio",
    "Slides from great talk: @ramnath_vaidya: Interactive slides from Interactive Visualization 
        presentation #user2014. http://ramnathv.github.io/user2014-rcharts/#1"
)

rm_hash(x)
rm_hash(rm_tag(x))
ex_hash(x)

## remove just the hash symbol
rm_hash(x, replace="\\3")