# regmatches

##### Extract or Replace Matched Substrings

Extract or replace matched substrings from match data obtained by
`regexpr`

, `gregexpr`

or
`regexec`

.

##### Usage

```
regmatches(x, m, invert = FALSE)
regmatches(x, m, invert = FALSE) <- value
```

##### Arguments

- x
a character vector

- m
an object with match data

- invert
a logical: if

`TRUE`

, extract or replace the non-matched substrings.- value
an object with suitable replacement values for the matched or non-matched substrings (see

`Details`

).

##### Details

If `invert`

is `FALSE`

(default), `regmatches`

extracts
the matched substrings as specified by the match data. For vector
match data (as obtained from `regexpr`

), empty matches are
dropped; for list match data, empty matches give empty components
(zero-length character vectors).

If `invert`

is `TRUE`

, `regmatches`

extracts the
non-matched substrings, i.e., the strings are split according to the
matches similar to `strsplit`

(for vector match data, at
most a single split is performed).

If `invert`

is `NA`

, `regmatches`

extracts both
non-matched and matched substrings, always starting and ending with a
non-match (empty if the match occurred at the beginning or the end,
respectively).

Note that the match data can be obtained from regular expression
matching on a modified version of `x`

with the same numbers of
characters.

The replacement function can be used for replacing the matched or
non-matched substrings. For vector match data, if `invert`

is
`FALSE`

, `value`

should be a character vector with length the
number of matched elements in `m`

. Otherwise, it should be a
list of character vectors with the same length as `m`

, each as
long as the number of replacements needed. Replacement coerces values
to character or list and generously recycles values as needed.
Missing replacement values are not allowed.

##### Value

For `regmatches`

, a character vector with the matched substrings
if `m`

is a vector and `invert`

is `FALSE`

. Otherwise,
a list with the matched or/and non-matched substrings.

For `regmatches<-`

, the updated character vector.

##### Examples

`library(base)`

```
# NOT RUN {
x <- c("A and B", "A, B and C", "A, B, C and D", "foobar")
pattern <- "[[:space:]]*(,|and)[[:space:]]"
## Match data from regexpr()
m <- regexpr(pattern, x)
regmatches(x, m)
regmatches(x, m, invert = TRUE)
## Match data from gregexpr()
m <- gregexpr(pattern, x)
regmatches(x, m)
regmatches(x, m, invert = TRUE)
## Consider
x <- "John (fishing, hunting), Paul (hiking, biking)"
## Suppose we want to split at the comma (plus spaces) between the
## persons, but not at the commas in the parenthesized hobby lists.
## One idea is to "blank out" the parenthesized parts to match the
## parts to be used for splitting, and extract the persons as the
## non-matched parts.
## First, match the parenthesized hobby lists.
m <- gregexpr("\\([^)]*\\)", x)
## Write a little utility for creating blank strings with given numbers
## of characters.
blanks <- function(n) strrep(" ", n)
## Create a copy of x with the parenthesized parts blanked out.
s <- x
regmatches(s, m) <- Map(blanks, lapply(regmatches(s, m), nchar))
s
## Compute the positions of the split matches (note that we cannot call
## strsplit() on x with match data from s).
m <- gregexpr(", *", s)
## And finally extract the non-matched parts.
regmatches(x, m, invert = TRUE)
# }
```

*Documentation reproduced from package base, version 3.5.2, License: Part of R 3.5.2*