I'm trying to get a better feel for the different ways `pmap`

can be used, so I came up with a little test problem which I can't seem to solve. It may also be the case that I'm improperly using `rlang`

and the curly curly `{{`

operator.

Lets say I have a data frame set up like this:

```
library(tidyverse)
tbl <- tibble(
x = list(
tibble(one = 1),
tibble(three = 3)
),
y = c("two", "four"),
z = list(2, 4)
)
tbl
#> # A tibble: 2 x 3
#> x y z
#> <list> <chr> <list>
#> 1 <tibble [1 x 1]> two <dbl [1]>
#> 2 <tibble [1 x 1]> four <dbl [1]>
```

**What I'd like to do** is create a new column in each element of `x`

, with it's column name coming from `y`

, and it's rows containing the elements found in `z`

. So, ideally the first element of `x`

would look like this:

```
x1 <- tbl[["x"]][[1]]
y1 <- tbl[["y"]][[1]]
z1 <- tbl[["z"]][[1]]
mutate(x1, {{ y1 }} := z1)
#> # A tibble: 1 x 2
#> one two
#> <dbl> <dbl>
#> 1 1 2
```

Extending this to the `pmap`

framework, I came up with this:

```
tbl %>%
mutate(x = pmap(
.l = list(a = x, b = y, c = z),
.f = function(a, b, c) {
# browser()
mutate(a, {{ b }} := c)
}
))
#> Error in (function (x) : object 'b' not found
```

This doesn't work, but the weird thing is if I enter the browser mode and run the `mutate`

call, the function performs as expected for the first element of the list.

Let me know what y'all think and where I might be going wrong, thanks!

Tony