critOBR {lazy.fa} R Documentation

## The criterion for Oblique rotation with prescribed factor correlation R

### Description

The criterion for Oblique rotation with prescribed factor correlation R

### Usage

```critOBR(theta, i, j, Ta, A, reflect = 0, P, Delta, Q, Lambda)
```

### Arguments

 `theta` The angle of rotation in i-j plane `i` The first dimension `j` The second dimension `Ta` The array of planar rotation matrices: i > j `A` The factor loadings matrix to be rotated `P` An orthogonal matrix: See below. `Delta` A diagonal matrix See below. `Q` An orthogonal matrix: See below. `Lambda` A diagonal matrix: See below.

### Details

Let `R` be the target factor correlation matrix and, `S` , the current factor correlation matrix associated with `A`,
This criterion is defined as the sum of the off diag elements of `t(B^2)%*%(B^2)`
where ` B = A%*%solve(t(W)) `
where ` W=P %*% Lambda_mh %*% T %*% Delta_h %*% t(Q) `.
where ` R=Q %*% Delta %*% t(Q)` and ` S=P %*% Lambda %*% t(P)` .

Note that this is a function of the elements of an orthogonal matrix T, which, in turn, is a function of the elements of theta vector.

Prior to the calculation of the criterion, when theta is a scalar and i and j are given, the ij-th planar rotation matrix Tij stored in Ta array will be updated using update_Ta,
and when theta is a vector, entire Ta array will be updated.
When theta is NULL, Ta array will not be updated and, the criterion value will be calculated using the planar rotation matrices stored in Ta array.

The P, Delta, Q, Lambda parameters will be handed to this function from planarR through its ... argument. It is recommended to hand them to planarR as named arguments.

### Value

The value of criterion

[Package lazy.fa version 0.1.3 Index]