sparse_logical: Create sparse logical vector

In sparsevctrs: Sparse Vectors for Use in Data Frames

Create sparse logical vector

Description

Construction of vectors where only values and positions are recorded. The Length and default values determine all other information.

Usage

sparse_logical(values, positions, length, default = FALSE)

Arguments

values	logical vector, values of non-zero entries.
positions	integer vector, indices of non-zero entries.
length	integer value, Length of vector.
default	logical value, value at indices not specified by positions. Defaults to FALSE. Cannot be NA.

Details

values and positions are expected to be the same length, and are allowed to both have zero length.

Allowed values for value are logical values. Missing values such as NA and NA_real_ are allowed. Everything else is disallowed, The values are also not allowed to take the same value as default.

positions should be integers or integer-like doubles. Everything else is not allowed. Positions should furthermore be positive (0 not allowed), unique, and in increasing order. Lastly they should all be smaller that length.

For developers:

setting options("sparsevctrs.verbose_materialize" = TRUE) will print a message each time a sparse vector has been forced to materialize.

Value

sparse logical vector

See Also

sparse_double() sparse_integer() sparse_character()

Examples

sparse_logical(logical(), integer(), 10)

sparse_logical(c(TRUE, NA, TRUE), c(2, 5, 10), 10)

str(
  sparse_logical(c(TRUE, NA, TRUE), c(2, 5, 10), 1000000000)
)

sparsevctrs documentation built on June 8, 2025, 1:48 p.m.