sparseVector: Sparse Vector Construction from Nonzero Entries
In bedatadriven/renjin-matrix: Sparse and Dense Matrix Classes and Methods

Description Usage Arguments Details Value Author(s) See Also Examples

User friendly construction sparse vectors, i.e., objects inheriting from class sparseVector, from indices and values of its non-zero entries.

1	sparseVector(x, i, length)

`x`	vector of the non zero entries.
`i`	integer vector (of the same length as `x`) specifying the indices of the non-zero (or non-`TRUE`) entries of the sparse vector.
`length`	length of the sparse vector.

zero entries in x are dropped automatically, analogously as drop0() acts on sparse matrices.

a sparse vector, i.e., inheriting from class sparseVector.

Martin Maechler

sparseMatrix() constructor for sparse matrices; the class sparseVector.

str(sv <- sparseVector(x = 1:10, i = sample(999, 10), length=1000))

sx <- c(0,0,3, 3.2, 0,0,0,-3:1,0,0,2,0,0,5,0,0)
ss <- as(sx, "sparseVector")
stopifnot(identical(ss,
   sparseVector(x = c(2, -1, -2, 3, 1, -3, 5, 3.2),
                i = c(15L, 10:9, 3L,12L,8L,18L, 4L), length = 20L)))