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_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")
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.