sweep.operator: Gauss-Jordan sweep operator for symmetric matrices

In fastmatrix: Fast Computation of some Matrices Useful in Statistics

Gauss-Jordan sweep operator for symmetric matrices

Description

Perform the sweep operation (or reverse sweep) on the diagonal elements of a symmetric matrix.

Usage

sweep.operator(x, k = 1, reverse = FALSE)

Arguments

x	a symmetric matrix.
k	elements (if k is vector) of the diagonal which will be sweeped.
reverse	logical. If reverse = TRUE the reverse sweep is performed.

Details

The symmetric sweep operator is a powerful tool in computational statistics with uses in stepwise regression, conditional multivariate normal distributions, MANOVA, and more.

Value

a square matrix of the same order as x.

References

Goodnight, J.H. (1979). A tutorial on the SWEEP operator. The American Statistician 33, 149-158.

Examples

# tiny example of regression, last column contains 'y'
xy <- matrix(c(1, 1, 1, 1,
               1, 2, 1, 3,
               1, 3, 1, 3,
               1, 1,-1, 2,
               1, 2,-1, 2,
               1, 3,-1, 1), ncol = 4, byrow = TRUE)
z <- crossprod(xy)
z <- sweep.operator(z, k = 1:3)
cf <- z[1:3,4] # regression coefficients
RSS <- z[4,4]  # residual sum of squares

# an example not that small
x <- matrix(rnorm(1000 * 100), ncol = 100)
xx <- crossprod(x)
z <- sweep.operator(xx, k = 1)

fastmatrix documentation built on Oct. 12, 2023, 5:14 p.m.