This is a convenient way to add one or more columns to an existing data frame.

add_column(
  .data,
  ...,
  .before = NULL,
  .after = NULL,
  .name_repair = c("check_unique", "unique", "universal", "minimal")
)

Arguments

.data

Data frame to append to.

...

<dynamic-dots> Name-value pairs, passed on to tibble(). All values must have the same size of .data or size 1.

.before, .after

One-based column index or column name where to add the new columns, default: after last column.

.name_repair

Treatment of problematic column names:

  • "minimal": No name repair or checks, beyond basic existence,

  • "unique": Make sure names are unique and not empty,

  • "check_unique": (default value), no name repair, but check they are unique,

  • "universal": Make the names unique and syntactic

  • a function: apply custom name repair (e.g., .name_repair = make.names for names in the style of base R).

  • A purrr-style anonymous function, see rlang::as_function()

This argument is passed on as repair to vctrs::vec_as_names(). See there for more details on these terms and the strategies used to enforce them.

See also

Other addition: add_row()

Examples

# add_column ---------------------------------
df <- tibble(x = 1:3, y = 3:1)

df %>% add_column(z = -1:1, w = 0)
#> # A tibble: 3 x 4
#>       x     y     z     w
#>   <int> <int> <int> <dbl>
#> 1     1     3    -1     0
#> 2     2     2     0     0
#> 3     3     1     1     0
df %>% add_column(z = -1:1, .before = "y")
#> # A tibble: 3 x 3
#>       x     z     y
#>   <int> <int> <int>
#> 1     1    -1     3
#> 2     2     0     2
#> 3     3     1     1

# You can't overwrite existing columns
try(df %>% add_column(x = 4:6))
#> Error : Column name `x` must not be duplicated.
#> Use .name_repair to specify repair.

# You can't create new observations
try(df %>% add_column(z = 1:5))
#> Error : New columns must be compatible with `.data`.
#>  New column has 5 rows.
#>  `.data` has 3 rows.