| rm_date | R Documentation |
Remove/replace/extract dates from a string in the form of (1) XX/XX/XXXX, XX/XX/XX, XX-XX-XXXX, XX-XX-XX, XX.XX.XXXX, or XX.XX.XX OR (2) March XX, XXXX or Mar XX, XXXX OR (3) both forms.
rm_date(
text.var,
trim = !extract,
clean = TRUE,
pattern = "@rm_date",
replacement = "",
extract = FALSE,
dictionary = getOption("regex.library"),
...
)
ex_date(
text.var,
trim = !extract,
clean = TRUE,
pattern = "@rm_date",
replacement = "",
extract = TRUE,
dictionary = getOption("regex.library"),
...
)
text.var |
The text variable. |
trim |
logical. If |
clean |
trim logical. If |
pattern |
A character string containing a regular expression (or
character string for |
replacement |
Replacement for matched |
extract |
logical. If |
dictionary |
A dictionary of canned regular expressions to search within
if |
... |
Other arguments passed to |
The default regular expression used by rm_date finds numeric
representations not word/abbreviations. This means that
"June 13, 2002" is not matched. This behavior can be altered (to
include month names/abbreviations) by using a secondary regular expression
from the regex_usa data (or other dictionary) via
(pattern = "@rm_date2", pattern = "@rm_date3", or
pattern = "@rm_date4"). See
Examples for example usage.
Returns a character string with dates removed.
gsub,
stri_extract_all_regex
Other rm_ functions:
rm_abbreviation(),
rm_between(),
rm_bracket(),
rm_caps(),
rm_caps_phrase(),
rm_citation(),
rm_citation_tex(),
rm_city_state(),
rm_city_state_zip(),
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()
## Numeric Date Representation
x <- paste0("Format dates as 04/12/2014, 04-12-2014, 04.12.2014. or",
" 04/12/14 but leaves mismatched: 12.12/2014")
rm_date(x)
ex_date(x)
## Word/Abbreviation Date Representation
x2 <- paste0("Format dates as Sept 09, 2002 or October 22, 1887",
"but not 04-12-2014 and may match good 00, 9999")
rm_date(x2, pattern="@rm_date2")
ex_date(x2, pattern="@rm_date2")
## Year-Month-Day Representation
x3 <- sprintf("R uses time in this format %s.", Sys.time())
rm_date(x3, pattern="@rm_date3")
## Grab all types
ex_date(c(x, x2, x3), pattern="@rm_date4")
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