| EFA-class {semTools} | R Documentation |
This class contains the results of rotated exploratory factor analysis
Objects can be created via the orthRotate or oblqRotate function.
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
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.
Sunthud Pornprasertmanit (psunthud@gmail.com)
efaUnrotate; orthRotate; oblqRotate
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)