| umxRotate.MxModelCP {umx} | R Documentation |
Rotate a CP solution
Description
Rotate a CP solution.
Should work with rotations provided in library("GPArotation") and library("psych"), e.g
Orthogonal: "varimax", "quartimax", "bentlerT", "equamax", "varimin", "geominT" and "bifactor"
Oblique: "Promax", "promax", "oblimin", "simplimax", "bentlerQ", "geominQ", "biquartimin" and "cluster"
Usage
## S3 method for class 'MxModelCP'
umxRotate(
model,
rotation = c("varimax", "promax"),
tryHard = "yes",
freeLoadingsAfter = TRUE,
verbose = TRUE
)
Arguments
model |
a |
rotation |
name of the rotation. |
tryHard |
Default ("yes") is to tryHard. |
freeLoadingsAfter |
return the model with factor loadings free (default) or fixed in the new locations. |
verbose |
print detail about the rotation |
Details
This works by taking the common-pathways loadings matrix from a solved umxCP() model, rotating these, placing
them back into the loadings matrix, re-estimating the model with the parameters fixed at this rotation, then return the new model.
Value
Rotated solution.
See Also
Other Twin Modeling Functions:
power.ACE.test(),
umxACEcov(),
umxACEv(),
umxACE(),
umxCP(),
umxDiffMZ(),
umxDiscTwin(),
umxDoCp(),
umxDoC(),
umxGxE_window(),
umxGxEbiv(),
umxGxE(),
umxIP(),
umxMRDoC(),
umxReduceACE(),
umxReduceGxE(),
umxReduce(),
umxSexLim(),
umxSimplex(),
umxSummarizeTwinData(),
umxSummaryACEv(),
umxSummaryACE(),
umxSummaryDoC(),
umxSummaryGxEbiv(),
umxSummarySexLim(),
umxSummarySimplex(),
umxTwinMaker(),
umx
Examples
## Not run:
# Rotate a CP solution(param)
# Common pathway model rotation
library(umx)
# Fit 3 factor CPM
data(GFF)
selDVs = c("gff", "fc", "qol", "hap", "sat", "AD")
m1 = umxCP(selDVs = selDVs, nFac = 2, data = data, tryHard = "yes")
m2 = umxRotate(m1, rotation = "varimax", tryHard = "yes")
## End(Not run)