add_column: Add columns to a data frame

In tibble: Simple Data Frames

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))

tibble documentation built on March 31, 2023, 11 p.m.