tibble (version 3.2.1)

add_column: Add columns to a data frame

Description

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

Usage

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)
df %>% add_column(z = -1:1, .before = "y")

# You can't overwrite existing columns
try(df %>% add_column(x = 4:6))

# You can't create new observations
try(df %>% add_column(z = 1:5))