`string`

and `pattern`

.
```
str_split(string, pattern, n = Inf, simplify = FALSE)
str_split_fixed(string, pattern, n)
```

string

Input vector. Either a character vector, or something
coercible to one.

pattern

Pattern to look for.

The default interpretation is a regular expression, as described
in stringi-search-regex. Control options with
`regex()`

.

Match a fixed string (i.e. by comparing only bytes), using
`fixed(x)`

. This is fast, but approximate. Generally,
for matching human text, you'll want `coll(x)`

which
respects character matching rules for the specified locale.

Match character, word, line and sentence boundaries with
`boundary()`

. An empty pattern, "", is equivalent to
`boundary("character")`

.

n

number of pieces to return. Default (Inf) uses all
possible split positions.

For `str_split_fixed`

, if n is greater than the number of pieces,
the result will be padded with empty strings.

simplify

If

`FALSE`

, the default, returns a list of character
vectors. If `TRUE`

returns a character matrix.-
For

`str_split_fixed`

, a character matrix with `n`

columns.
For `str_split`

, a list of character vectors.
`stri_split`

for the underlying implementation.
fruits <- c( "apples and oranges and pears and bananas", "pineapples and mangos and guavas" ) str_split(fruits, " and ") str_split(fruits, " and ", simplify = TRUE) # Specify n to restrict the number of possible matches str_split(fruits, " and ", n = 3) str_split(fruits, " and ", n = 2) # If n greater than number of pieces, no padding occurs str_split(fruits, " and ", n = 5) # Use fixed to return a character matrix str_split_fixed(fruits, " and ", 3) str_split_fixed(fruits, " and ", 4)