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Singular value decomposition for adgeMatrix

Source: R/methods-dense.R
svd-methods.Rd

Compute the singular value decomposition of an adgeMatrix, dispatching through the amatrix backend. A fallback method for plain matrix objects is also provided to preserve base R behaviour after the generic is promoted to S4.

Usage

# S4 method for class 'adgeMatrix'
svd(x, nu = min(dim(x)), nv = min(dim(x)), LINPACK = FALSE, ...)

Arguments

x

An adgeMatrix or plain matrix.

nu

Number of left singular vectors to compute.

nv

Number of right singular vectors to compute.

LINPACK

Ignored; retained for signature compatibility.

...

Further arguments passed to the backend.

Value

A list with components d (singular values), u (left singular vectors, nrow(x) by nu), and v (right singular vectors, ncol(x) by nv).

Examples

A <- adgeMatrix(matrix(rnorm(12), 4, 3))
s <- svd(A)
length(s$d)
#> [1] 3