Tibble constructor and validator
Creates or validates a subclass of a tibble. These function is mostly useful for package authors that implement subclasses of a tibble, like sf or tsibble.
new_tibble() creates a new object as a subclass of tbl_df, tbl and data.frame.
This function is optimized for performance, checks are reduced to a minimum.
validate_tibble() checks a tibble for internal consistency.
Correct behavior can be guaranteed only if this function
runs without raising an error.
new_tibble(x, ..., nrow, class = NULL, subclass = NULL) validate_tibble(x)
x |
A tibble-like object. |
... |
Name-value pairs of additional attributes. |
nrow |
The number of rows, required. |
class |
Subclasses to assign to the new object, default: none. |
subclass |
Deprecated, retained for compatibility. Please use the |
For new_tibble(), x must be a list.
The ... argument allows adding more attributes to the subclass.
An nrow argument is required.
This should be an integer of length 1,
and every element of the list x should have vctrs::vec_size()
equal to this value.
(But this is not checked by the constructor).
This takes the place of the "row.names" attribute in a data frame.
x must have names (or be empty),
but the names are not checked for correctness.
validate_tibble() checks for "minimal" names
and that all columns are vectors, data frames or matrices.
It also makes sure that all columns have the same length,
and that vctrs::vec_size() is consistent with the data.
tibble() and as_tibble() for ways to construct a tibble
with recycling of scalars and automatic name repair.
# The nrow argument is always required: new_tibble(list(a = 1:3, b = 4:6), nrow = 3) # Existing row.names attributes are ignored: try(validate_tibble(new_tibble(iris, nrow = 3))) # The length of all columns must be compatible with the nrow argument: try(validate_tibble(new_tibble(list(a = 1:3, b = 4:6), nrow = 2)))
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