svd2: singular value decomposition with automatic error handling

In drtagkim/mcgillfdar: Functional Data Analysis

Description

The 'svd' function in R 2.5.1 occasionally throws an error with a cryptic message. In some such cases, changing the LINPACK argument has worked.

Usage

  svd2(x, nu = min(n, p), nv = min(n, p), LINPACK = FALSE)

Arguments

x, nu, nv, LINPACK

as for the 'svd' function in the 'base' package.

Details

In R 2.5.1, the 'svd' function sometimes stops with a cryptic error message for a matrix x for which a second call to 'svd' with !LINPACK will produce an answer. When such conditions occur, assign 'x' with attributes 'nu', 'nv', and 'LINPACK' to '.svd.LINPACK.error.matrix' in 'env = .GlobalEnv'.

Except for these rare pathologies, 'svd2' should work the same as 'svd'.

Value

a list with components d, u, and v, as described in the help file for 'svd' in the 'base' package.

See Also

svd,

drtagkim/mcgillfdar documentation built on May 12, 2019, 6:20 p.m.