| rm_date {qdapRegex} | 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.
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_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")