subExpressionMatches | R Documentation |
Find and Extract Regular Expressions from Strings
subExpressionMatches(
pattern,
text,
match.names = NULL,
select = stats::setNames(seq_along(match.names), match.names),
simplify = TRUE,
regularExpression = NULL
)
pattern |
regular expression containing parts in parentheses that are to be extracted from text |
text |
text to be matched against the regular expression |
match.names |
optional. Names that are to be given to the extracted parts in the result list. |
select |
named vector of numbers specifying the subexpressions in parentheses to be extracted. |
simplify |
if TRUE (default) and text has only one element, the output structure will be a list instead a list of lists |
regularExpression |
deprecated. Use new argument |
If length(text) > 1
a list is returned with as many elements
as there are strings in text each of which is itself a list
containing the strings matching the subpatterns (enclosed in parentheses in
pattern) or NULL for strings that did not match. If
match.names are given, the elements of these lists are named
according to the names given in match.names. If text is of
length 1 and simplify = TRUE (default) the top level list structure
described above is omitted, i.e. the list of substrings matching the
subpatterns is returned.
# split date into year, month and day
subExpressionMatches("(\\\\d{4})\\\\-(\\\\d{2})\\\\-(\\\\d{2})", "2014-04-23")
# split date into year, month and day (give names to the resulting elements)
x <- subExpressionMatches(
pattern = "(\\\\d{4})\\\\-(\\\\d{2})\\\\-(\\\\d{2})", "2014-04-23",
match.names = c("year", "month", "day")
)
cat(paste0("Today is ", x$day, "/", x$month, " of ", x$year, "\n"))
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.