R: Class For Rotated Results from EFA

EFA-class {semTools} | R Documentation

## Class For Rotated Results from EFA

### Description

This class contains the results of rotated exploratory factor analysis

### Objects from the Class

Objects can be created via the `orthRotate` or `oblqRotate` function.

### Slots

`loading`:

  Rotated standardized factor loading matrix

`rotate`:

  Rotation matrix

`gradRotate`:

  The gradient of the objective function at the rotated loadings

`convergence`:

  Convergence status

`phi`:

  Factor correlation. Will be an identity matrix if orthogonal rotation is used.

`se`:

  Standard errors of the rotated standardized factor loading matrix

`method`:

  Method of rotation

`call`:

  The command used to generate this object

### methods

- `summary` The `summary` function shows the detailed results of the rotated solution. This function has two arguments: `suppress` and `sort`. The `suppress` argument is used to not show the standardized loading values that less than the specified value. The default is 0.1. The `sort` is used to sort the factor loadings by the sizes of factor loadings in each factor. The default is `TRUE`.

### Author(s)

Sunthud Pornprasertmanit (psunthud@gmail.com)

### See Also

`efaUnrotate`; `orthRotate`; `oblqRotate`

### Examples

    library(lavaan)
    unrotated <- efaUnrotate(HolzingerSwineford1939, nf=3, varList=paste0("x", 1:9), estimator="mlr")
    summary(unrotated, std=TRUE)
    inspect(unrotated, "std")

    # Rotated by Quartimin
    rotated <- oblqRotate(unrotated, method="quartimin")
    summary(rotated)

[Package semTools version 0.4-14 Index]