Remove/replace/extract abbreviations from a string containing lower case or capital letters followed by a period and then an optional space (this must be repeated 2 or more times).
rm_abbreviation(
text.var,
trim = !extract,
clean = TRUE,
pattern = "@rm_abbreviation",
replacement = "",
extract = FALSE,
dictionary = getOption("regex.library"),
...
)ex_abbreviation(
text.var,
trim = !extract,
clean = TRUE,
pattern = "@rm_abbreviation",
replacement = "",
extract = TRUE,
dictionary = getOption("regex.library"),
...
)
Returns a character string with abbreviations removed.
The text variable.
logical. If TRUE
removes leading and trailing white
spaces.
trim logical. If TRUE
extra white spaces and escaped
character will be removed.
A character string containing a regular expression (or
character string for fixed = TRUE
) to be matched in the given
character vector. Default, @rm_abbreviation
uses the
rm_abbreviation
regex from the regular expression dictionary from
the dictionary
argument.
Replacement for matched pattern
.
logical. If TRUE
the abbreviations are extracted into a
list of vectors.
A dictionary of canned regular expressions to search within
if pattern
begins with "@rm_"
.
Other arguments passed to gsub
.
Other rm_ functions:
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_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()
x <- c("I want $2.33 at 2:30 p.m. to go to A.n.p.",
"She will send it A.S.A.P. (e.g. as soon as you can) said I.",
"Hello world.", "In the U. S. A.")
rm_abbreviation(x)
ex_abbreviation(x)
Run the code above in your browser using DataLab