absmin {epca}

Absmin Rotation

Description

Given a p x k matrix x, finds the orthogonal matrix (rotation) that minimizes the absmin.criteria.

Usage

absmin(x, r0 = diag(ncol(x)), normalize = FALSE, eps = 1e-05, maxit = 1000L)

Arguments

x

a matrix or Matrix, initial factor loadings matrix for which the rotation criterian is to be optimized.

r0

matrix, initial rotation matrix.

normalize

logical. Should Kaiser normalization be performed? If so the rows of x are re-scaled to unit length before rotation, and scaled back afterwards.

eps

The tolerance for stopping: the relative change in the sum of singular values.

maxit

integer, maximum number of iteration (default to 1,000).

Value

A list with three elements:

rotated

the rotated matrix.

rotmat

the (orthogonal) rotation matrix.

n.iter

the number of iteration taken.

See Also

GPArotation::GPForth