re-export where from tidyselect?

[IndrajeetPatil]

For example, in the following example, the function correctly recommends me to use where.

library(dplyr, warn.conflicts = FALSE)

as_tibble(iris) %>% filter(if_all(is.numeric, ~ !is.na(.)))
#> Warning: Predicate functions must be wrapped in `where()`.
#> 
#>   # Bad
#>   data %>% select(is.numeric)
#> 
#>   # Good
#>   data %>% select(where(is.numeric))
#> 
#> ℹ Please update your code.
#> This message is displayed once per session.
#> # A tibble: 150 x 5
#>    Sepal.Length Sepal.Width Petal.Length Petal.Width Species
#>           <dbl>       <dbl>        <dbl>       <dbl> <fct>  
#>  1          5.1         3.5          1.4         0.2 setosa 
#>  2          4.9         3            1.4         0.2 setosa 
#>  3          4.7         3.2          1.3         0.2 setosa 
#>  4          4.6         3.1          1.5         0.2 setosa 
#>  5          5           3.6          1.4         0.2 setosa 
#>  6          5.4         3.9          1.7         0.4 setosa 
#>  7          4.6         3.4          1.4         0.3 setosa 
#>  8          5           3.4          1.5         0.2 setosa 
#>  9          4.4         2.9          1.4         0.2 setosa 
#> 10          4.9         3.1          1.5         0.1 setosa 
#> # … with 140 more rows

As a user, this is straightforward.

But, in the context of a package function, this adds a new tidyselect dependency since where is currently not re-exported from dplyr.

as_tibble(iris) %>% filter(if_all(where(is.numeric), ~ !is.na(.)))
#> # A tibble: 150 x 5
#>    Sepal.Length Sepal.Width Petal.Length Petal.Width Species
#>           <dbl>       <dbl>        <dbl>       <dbl> <fct>  
#>  1          5.1         3.5          1.4         0.2 setosa 
#>  2          4.9         3            1.4         0.2 setosa 
#>  3          4.7         3.2          1.3         0.2 setosa 
#>  4          4.6         3.1          1.5         0.2 setosa 
#>  5          5           3.6          1.4         0.2 setosa 
#>  6          5.4         3.9          1.7         0.4 setosa 
#>  7          4.6         3.4          1.4         0.3 setosa 
#>  8          5           3.4          1.5         0.2 setosa 
#>  9          4.4         2.9          1.4         0.2 setosa 
#> 10          4.9         3.1          1.5         0.1 setosa 
#> # … with 140 more rows

To appease _R_CHECK_EXCESSIVE_IMPORTS_ check from CRAN, I'd prefer if dplyr re-exports this function, so that one doesn't have to add both dplyr and tidyselect to Imports.

[yutannihilation]

It's not experted from tidyselect. See r-lib/tidyselect#201

[IndrajeetPatil]

Oh, strange that it is not exported from tidyselect. I just assumed it was since I saw it on the website:
https://tidyselect.r-lib.org/reference/where.html

Okay, then closing this issue in favour of r-lib/tidyselect#201 (although the issues are slightly different as here the where function will need to be re-exported).