mxGetExpected {OpenMx} | R Documentation |
This function extracts the expected means, covariance, or thresholds from a model.
mxGetExpected(model, component) imxGetExpectationComponent(model, component)
model |
MxModel object from which to extract the expectation component. |
component |
A character. The name of the component to extract. |
The expected means, covariance, or thresholds can be extracted from Normal (mxExpectationNormal), RAM (mxExpectationRAM), and LISREL (mxExpectationLISREL) models.
A matrix, giving the expectation component requested.
The OpenMx User's guide can be found at http://openmx.psyc.virginia.edu/documentation.
#---------- require(OpenMx) manifests <- paste("x", 1:5, sep="") latents <- c("G") factorModel <- mxModel("One Factor", type="RAM", manifestVars = manifests, latentVars = latents, mxPath(from=latents, to=manifests), mxPath(from=manifests, arrows=2), mxPath(from=latents, arrows=2, free=FALSE, values=1.0), mxPath(from = 'one', to = manifests)) mxGetExpected(factorModel, "covariance") # oops. Starting values indicate a zero covariance matrix. # Probably should adjust them.