tibble: as_tibble – R documentation

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as_tibble

Coerce lists, matrices, and more to data frames

Description

as_tibble() turns an existing object, such as a data frame or matrix, into a so-called tibble, a data frame with class tbl_df. This is in contrast with tibble(), which builds a tibble from individual columns. as_tibble() is to tibble() as base::as.data.frame() is to base::data.frame().

as_tibble() is an S3 generic, with methods for:

data.frame: Thin wrapper around the list method that implements tibble's treatment of rownames.
matrix, poly, ts, table
Default: Other inputs are first coerced with base::as.data.frame().

as_tibble_row() converts a vector to a tibble with one row. The input must be a bare vector, e.g. vectors of dates are not supported yet. If the input is a list, all elements must have length one.

as_tibble_col() converts a vector to a tibble with one column.

Usage

as_tibble(
  x,
  ...,
  .rows = NULL,
  .name_repair = c("check_unique", "unique", "universal", "minimal"),
  rownames = pkgconfig::get_config("tibble::rownames", NULL)
)

## S3 method for class 'data.frame'
as_tibble(
  x,
  validate = NULL,
  ...,
  .rows = NULL,
  .name_repair = c("check_unique", "unique", "universal", "minimal"),
  rownames = pkgconfig::get_config("tibble::rownames", NULL)
)

## S3 method for class 'list'
as_tibble(
  x,
  validate = NULL,
  ...,
  .rows = NULL,
  .name_repair = c("check_unique", "unique", "universal", "minimal")
)

## S3 method for class 'matrix'
as_tibble(x, ..., validate = NULL, .name_repair = NULL)

## S3 method for class 'table'
as_tibble(x, `_n` = "n", ..., n = `_n`, .name_repair = "check_unique")

## S3 method for class ''NULL''
as_tibble(x, ...)

## Default S3 method:
as_tibble(x, ...)

as_tibble_row(
  x,
  .name_repair = c("check_unique", "unique", "universal", "minimal")
)

as_tibble_col(x, column_name = "value")

Arguments

`x`	A data frame, list, matrix, or other object that could reasonably be coerced to a tibble.
`...`	Unused, for extensibility.
`.rows`	The number of rows, useful to create a 0-column tibble or just as an additional check.
`.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.
`rownames`	How to treat existing row names of a data frame or matrix: `NULL`: remove row names. This is the default. `NA`: keep row names. A string: the name of a new column. Existing rownames are transferred into this column and the `row.names` attribute is deleted. Read more in rownames.
`_n, validate`	For compatibility only, do not use for new code.
`n`	Name for count column, default: `"n"`.
`column_name`	Name of the column.

Row names

The default behavior is to silently remove row names.

New code should explicitly convert row names to a new column using the rownames argument.

For existing code that relies on the retention of row names, call pkgconfig::set_config("tibble::rownames" = NA) in your script or in your package's .onLoad() function.

Life cycle

Using as_tibble() for vectors is superseded as of version 3.0.0, prefer the more expressive as_tibble_row() and as_tibble_col() variants for new code.

Examples

m <- matrix(rnorm(50), ncol = 5)
colnames(m) <- c("a", "b", "c", "d", "e")
df <- as_tibble(m)

as_tibble_row(c(a = 1, b = 2))
as_tibble_row(list(c = "three", d = list(4:5)))
as_tibble_row(1:3, .name_repair = "unique")

as_tibble_col(1:3)
as_tibble_col(
  list(c = "three", d = list(4:5)),
  column_name = "data"
)

tibble

Simple Data Frames

v3.1.1

MIT + file LICENSE

Authors

Kirill Müller [aut, cre], Hadley Wickham [aut], Romain Francois [ctb], Jennifer Bryan [ctb], RStudio [cph]

Initial release