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Can you use dynamic column names with tidyeval in an anonymous function?

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We can define a function that uses a dynamic column name, then use it in map. Note how the tibbles from ListCol have the column names a and b, taken from the Letter column in the original tibble.

library(tidyverse)

myfunc <- function(col_name) {
  tibble(!!sym(col_name) := c(1, 2))
}

tibble(
  Letter = letters[1:2],
  ListCol = map(Letter, myfunc)
) %>%
  pull(ListCol)
#> [[1]]
#> # A tibble: 2 x 1
#>       a
#>   <dbl>
#> 1     1
#> 2     2
#> 
#> [[2]]
#> # A tibble: 2 x 1
#>       b
#>   <dbl>
#> 1     1
#> 2     2

However, using the same code from the previous myfunc function in an anonymous function gives an error.

tibble(
  Letter = letters[1:2],
  ListCol = map(Letter, function(col_name) {
    tibble(!!sym(col_name) := c(1, 2))
  })
) %>%
  pull(ListCol)
#> Error in is_symbol(x): object 'col_name' not found

Created on 2020-01-12 by the reprex package (v0.3.0)

devtools::session_info()
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#>  date     2020-01-12                  
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#> [1] /Library/Frameworks/R.framework/Versions/3.6/Resources/library

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