I'm having difficulties in using %in% when dealing with floating point issue, e.g. 

```
> x = seq(0.05, 0.3, 0.01)
> x %in% seq(0.15, 0.3, 0.01)
 [1] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE  TRUE  TRUE  TRUE FALSE FALSE  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE
[25] FALSE  TRUE

```

I know it is because how computer stores floating points, but is there a function like `dplyr::near` which could be used to replace `%in%`? `dplyr::near(x, y)` won't work if length of `x` is different from `y`.

Many thanks!