orthRotate {semTools} | R Documentation |
Implement orthogonal or oblique rotation
Description
These functions will implement orthogonal or oblique rotation on standardized factor loadings from a lavaan output.
Usage
orthRotate(object, method = "varimax", ...)
oblqRotate(object, method = "quartimin", ...)
funRotate(object, fun, ...)
Arguments
object |
A lavaan output |
method |
The method of rotations, such as |
... |
Additional arguments for the |
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 |
Details
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
lav_func_jacobian_simple
function.
Value
An linkS4class{EFA}
object that saves the rotated EFA solution
Author(s)
Sunthud Pornprasertmanit (psunthud@gmail.com)
Examples
## Not run:
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")
# 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)