obliqueR {lazy.fa}R Documentation

Planar Oblique Rotation with grid search of optimal rho.

Description

Planar Oblique Rotation with grid search of optimal rho.

Usage

obliqueR(func, A, ..., sim = 1, method = "nlm", SQUAREM = 3,
  init = "pca", minr = 0, maxr = 0.7, npoint = 0, by = 0.1,
  print = 0)

Arguments

A

The factor loadings matrix

...

additional parameters to func such as kappa or gamma parameter.

sim

= 0 to use successive method

SQUAREM

1 or 3 to use SQUAREM

init

= Initial rotation method: "pc", "varimax", or "promax"

minr

The lower bound of rho

maxr

The upper bound of rho

npoint

# of discrete points for rho in [minr,maxr] or 0

by

The by parameter for rho=seq(minr,maxr,by)
npoint has precedence.

print

= 1 to print the result

funuc

The criterion function to be minimized.

Details

For each rho in [minr,maxr], define the factor correlation matrix R as R=(1-ρ)I - ρ 1 1' and use planarR function to find the rotation matrix T, and accordingly
invtW=P %*% diag(sqrt(Lambda)) %*% Tk %*% diag(1/sqrt(Delta)) %*% t(Q)
so that B=A %*% invtW has a simple structure mesured by function "func"..
The value of rho which minimizes the criterion function calculated by "func" will be chosen as the best value of rho.

Examples

seed=1701
set.seed(seed)

n=20; ndim=5

A=gendatafa_A( n, ndim, pc=1 )$loadings
res=obliqueR( critOBR, A, sim=1, print=1, minr=0, maxr=0.8, by=0.1 )


[Package lazy.fa version 0.1.3 Index]