tf_unnest: Turn (data frames with) 'tf'-objects / list columns into...

In tidyfun: Tidy Functional Data Wrangling and Visualization

Turn (data frames with) tf-objects / list columns into "long" tables.

Description

Similar in spirit to tidyr::unnest(), the reverse of tf_nest(). The tf-method simply turns a single tfd or tfb vector into a "long" tibble::tibble().

Usage

tf_unnest(data, cols, arg, interpolate = TRUE, ...)

## S3 method for class 'tf'
tf_unnest(data, cols, arg, interpolate = TRUE, ...)

## S3 method for class 'data.frame'
tf_unnest(
  data,
  cols,
  arg,
  interpolate = TRUE,
  keep_empty = FALSE,
  ptype = NULL,
  names_sep = "_",
  names_repair = "check_unique",
  ...
)

Arguments

data	a data.frame or a tf-object
cols	<tidy-select> List-columns to unnest. When selecting multiple columns, values from the same row will be recycled to their common size.
arg	optional values for the arg argument of tf::tf_evaluate()
interpolate	return function values for arg-values not on original grid? Defaults to TRUE.
...	not used currently
keep_empty	By default, you get one row of output for each element of the list that you are unchopping/unnesting. This means that if there's a size-0 element (like NULL or an empty data frame or vector), then that entire row will be dropped from the output. If you want to preserve all rows, use keep_empty = TRUE to replace size-0 elements with a single row of missing values.
ptype	Optionally, a named list of column name-prototype pairs to coerce cols to, overriding the default that will be guessed from combining the individual values. Alternatively, a single empty ptype can be supplied, which will be applied to all cols.
names_sep	If NULL, the default, the outer names will come from the inner names. If a string, the outer names will be formed by pasting together the outer and the inner column names, separated by names_sep.
names_repair	Used to check that output data frame has valid names. Must be one of the following options: ⁠"minimal⁠": no name repair or checks, beyond basic existence, ⁠"unique⁠": make sure names are unique and not empty, ⁠"check_unique⁠": (the default), no name repair, but check they are unique, ⁠"universal⁠": make the names unique and syntactic a function: apply custom name repair. tidyr_legacy: use the name repair from tidyr 0.8. a formula: a purrr-style anonymous function (see rlang::as_function()) See vctrs::vec_as_names() for more details on these terms and the strategies used to enforce them.

Details

• Caution: this uses slightly different defaults for names of unnested columns than tidyr::unnest().

• For data.frames, include an ID column with a unique row identifier before unnesting. Without it, arg-value pairs cannot be matched back to their original functions after unnesting.

Value

a "long" data frame with tf-columns expanded into ⁠arg, value⁠- columns.

See Also

tf_evaluate.data.frame()

Other tidyfun data wrangling functions: tf_evaluate.data.frame(), tf_gather(), tf_nest(), tf_spread()

Examples

d <- dplyr::tibble(id = 1:3)
d$f <- tf_rgp(3, 11L)
tf_unnest(d, f)

tidyfun documentation built on April 24, 2026, 5:06 p.m.