sparsevctrs (version 0.3.1)

sparse_lag: Compute lagged values for sparse vectors

Description

Compute lagged values for sparse vectors

Usage

sparse_lag(x, n = 1L, default = NULL)

Value

sparse vector.

Arguments

x

A sparse vector.

n

Positive integer of length 1, giving the number of positions to lag by.

default

The value used to pad x`` back to its original size after the lag has been applied. The default, NULL``, pads with a missing value.

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.

Examples

vec_dbl <- sparse_double(c(pi, 4, 5/2), c(1, 5, 7), 10)

sparse_lag(vec_dbl)
sparse_lag(vec_dbl, n = 3)
sparse_lag(vec_dbl, n = 3, default = 0)

vec_int <- sparse_integer(c(1, 2, 3), c(1, 5, 7), 10)

sparse_lag(vec_int)
sparse_lag(vec_int, n = 3)
sparse_lag(vec_int, n = 3, default = 0L)

vec_chr <- sparse_character(c("A", "B", "C"), c(1, 5, 7), 10)

sparse_lag(vec_chr)
sparse_lag(vec_chr, n = 3)
sparse_lag(vec_chr, n = 3, default = "before")

vec_lgl <- sparse_logical(c(TRUE, TRUE, TRUE), c(1, 5, 7), 10)

sparse_lag(vec_lgl)
sparse_lag(vec_lgl, n = 3)
sparse_lag(vec_lgl, n = 3, default = FALSE)