sparse_is_na: Detect Pressence of Missing Values

In sparsevctrs: Sparse Vectors for Use in Data Frames

Detect Pressence of Missing Values

Description

Detect Pressence of Missing Values

Usage

sparse_is_na(x, type = "logical")

Arguments

x	A sparse vector.
type	A single string. Most be one of logical or integer. Determines the resulting vector. If type = integer then a sparse vector is returned.

Details

This function, as with any of the other helper functions assumes that the input x is a sparse numeric vector. This is done for performance reasons, and it is thus the users responsibility to perform input checking.

Note that the resulting vector will be not be a sparse vector.

Value

A logical vector or sparse integer vector.

See Also

sparse_which_na()

Examples

sparse_is_na(
  sparse_double(c(10, NA, 11), c(1, 50, 111), 1000)
)

sparse_is_na(
  sparse_double(c(10, NA, 11), c(1, 50, 111), 1000),
  type = "integer"
)

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