OpenMx (version 2.2.4)

mxGetExpected: Extract the component from a model's expectation

Description

This function extracts the expected means, covariance, or thresholds from a model.

Usage

mxGetExpected(model, component)
imxGetExpectationComponent(model, component)

Arguments

model

MxModel object from which to extract the expectation component.

component

A character. The name of the component to extract.

Value

• A matrix, giving the expectation component requested.

Details

The expected means, covariance, or thresholds can be extracted from Normal (mxExpectationNormal), RAM (mxExpectationRAM), and LISREL (mxExpectationLISREL) models.

References

The OpenMx User's guide can be found at http://openmx.psyc.virginia.edu/documentation.

Examples

#----------
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.