add_missing_column: Add missing columns to a data frame

In tidyplus: Additional 'tidyverse' Functions

Add missing columns to a data frame

Description

This is a convenient way to add one more columns (if not already present) to an existing data frame. It is useful to ensure that all required columns are present in a data frame.

Usage

add_missing_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.

Details

It is wrapper on tibble::add_column() that doesn't error if the column is already present.

Value

The original data frame with missing columns added if not already present.

See Also

tibble::add_column()

Examples

data <- tibble::tibble(x = 1:3, y = 3:1)

tibble::add_column(data, z = -1:1, w = 0)
add_missing_column(data, z = -1:1, .before = "y")

# add_column errors if already present
try(tibble::add_column(data, x = 4:6))

# add_missing_column silently ignores
add_missing_column(data, x = 4:6)

tidyplus documentation built on April 3, 2025, 7:44 p.m.