Collect columns for data frame construction

df_list() constructs the data structure underlying a data frame, a named list of equal-length vectors. It is often used in combination with new_data_frame() to safely and consistently create a helper function for data frame subclasses.

df_list(
  ...,
  .size = NULL,
  .name_repair = c("check_unique", "unique", "universal", "minimal")
)

Arguments

...	Vectors of equal-length. When inputs are named, those names are used for names of the resulting list.
.size	The common size of vectors supplied in .... If NULL, this will be computed as the common size of the inputs.
.name_repair	One of "check_unique", "unique", "universal" or "minimal". See vec_as_names() for the meaning of these options.

Properties

• Inputs are recycled to a common size with vec_recycle_common().

• With the exception of data frames, inputs are not modified in any way. Character vectors are never converted to factors, and lists are stored as-is for easy creation of list-columns.

• Unnamed data frame inputs are automatically spliced. Named data frame inputs are stored unmodified as data frame columns.

• NULL inputs are completely ignored.

• The dots are dynamic, allowing for splicing of lists with !!! and unquoting.

See also

new_data_frame() for constructing data frame subclasses from a validated input. data_frame() for a fast data frame creation helper.

Examples

# `new_data_frame()` can be used to create custom data frame constructors
new_fancy_df <- function(x = list(), n = NULL, ..., class = NULL) {
  new_data_frame(x, n = n, ..., class = c(class, "fancy_df"))
}

# Combine this constructor with `df_list()` to create a safe,
# consistent helper function for your data frame subclass
fancy_df <- function(...) {
  data <- df_list(...)
  new_fancy_df(data)
}

df <- fancy_df(x = 1)
class(df)
#> [1] "fancy_df"   "data.frame"