| rotate {semTools} | R Documentation |
These functions will implement orthogonal or oblique rotation on standardized factor loadings from a lavaan output.
orthRotate(object, method="varimax", ...) oblqRotate(object, method="quartimin", ...) funRotate(object, fun, ...)
object |
A lavaan output |
method |
The method of rotations, such as |
fun |
The name of the function that users wish to rotate the standardized solution. The functions must take the first argument as the standardized loading matrix and return the |
... |
Additional arguments for the |
These functions will rotate the unrotated standardized factor loadings by orthogonal rotation using the GPForth function or oblique rotation using the GPFoblq function the GPArotation package. The resulting rotation matrix will be used to calculate standard errors of the rotated standardized factor loading by delta method by numerically computing the Jacobian matrix by the lavJacobianD function in the lavaan package.
An linkS4class{EFA} object that saves the rotated EFA solution.
Sunthud Pornprasertmanit (psunthud@gmail.com)
library(lavaan)
unrotated <- efaUnrotate(HolzingerSwineford1939, nf=3, varList=paste0("x", 1:9), estimator="mlr")
# Orthogonal varimax
out.varimax <- orthRotate(unrotated, method="varimax")
summary(out.varimax, sort=FALSE, suppress=0.3)
# Orthogonal Quartimin
orthRotate(unrotated, method="quartimin")
# Oblique Quartimin
oblqRotate(unrotated, method="quartimin")
# Geomin
oblqRotate(unrotated, method="geomin")
## Not run:
# Target rotation
library(GPArotation)
target <- matrix(0, 9, 3)
target[1:3, 1] <- NA
target[4:6, 2] <- NA
target[7:9, 3] <- NA
colnames(target) <- c("factor1", "factor2", "factor3")
# This function works with GPArotation version 2012.3-1
funRotate(unrotated, fun="targetQ", Target=target)
## End(Not run)