Compares strings by tokenising them, sorting the tokens alphabetically and then computing the
`lev_ratio()`

of the result. This means that the order of words is irrelevant which can be
helpful in some circumstances.

`lev_token_sort_ratio(a, b, pairwise = TRUE, useNames = TRUE, ...)`

## Arguments

- a, b
The input strings

- pairwise
Boolean. If `TRUE`

, only the pairwise distances between `a`

and `b`

will be
computed, rather than the combinations of all elements.

- useNames
Boolean. Use input vectors as row and column names?

- ...
Additional arguments to be passed to `stringdist::stringdistmatrix()`

or
`stringdist::stringsimmatrix()`

.

## Value

A numeric scalar, vector or matrix depending on the length of the inputs.

## Examples

```
x <- "Episode IV - Star Wars: A New Hope"
y <- "Star Wars Episode IV - New Hope"
# Because the order of words is different the simple approach gives a low match ratio.
lev_ratio(x, y)
#> [1] 0.3529412
# The sorted token approach ignores word order.
lev_token_sort_ratio(x, y)
#> [1] 0.9354839
```