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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