transmute() and tibble results

[romainfrancois]

library(dplyr, warn.conflicts = FALSE)

iris %>% 
  as_tibble() %>% 
  transmute(
    tibble(Sepal.Length, Sepal.Width)
  )
#> # A tibble: 150 x 2
#>    Sepal.Length Sepal.Width
#>           <dbl>       <dbl>
#>  1          5.1         3.5
#>  2          4.9         3  
#>  3          4.7         3.2
#>  4          4.6         3.1
#>  5          5           3.6
#>  6          5.4         3.9
#>  7          4.6         3.4
#>  8          5           3.4
#>  9          4.4         2.9
#> 10          4.9         3.1
#> # … with 140 more rows

instead of this on master, which insist on giving names to each ...

library(dplyr, warn.conflicts = FALSE)

iris %>% 
  as_tibble() %>% 
  transmute(
    tibble(Sepal.Length, Sepal.Width)
  )
#> # A tibble: 150 x 1
#>    `tibble(Sepal.Length, Sepal.Width)`$Sepal.Length $Sepal.Width
#>                                               <dbl>        <dbl>
#>  1                                              5.1          3.5
#>  2                                              4.9          3  
#>  3                                              4.7          3.2
#>  4                                              4.6          3.1
#>  5                                              5            3.6
#>  6                                              5.4          3.9
#>  7                                              4.6          3.4
#>  8                                              5            3.4
#>  9                                              4.4          2.9
#> 10                                              4.9          3.1
#> # … with 140 more rows

^{Created on 2019-12-17 by the reprex package (v0.3.0.9000)}

This is slightly related to #2047 as we would be able, with #4586 to do something like:

library(dplyr, warn.conflicts = FALSE)

iris %>% 
  transmute(
    Sepal = Sepal.Length * Sepal.Width
    across(everything())
  )