sparse_lag {sparsevctrs} | R Documentation |
Compute lagged values for sparse vectors
Description
Compute lagged values for sparse vectors
Usage
sparse_lag(x, n = 1L, default = NULL)
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 |
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.
Value
sparse vector.
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)
[Package sparsevctrs version 0.3.4 Index]