#
# Copyright 2007-2018 by the individuals mentioned in the source code history
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
library(OpenMx)
data(demoOneFactor)
manifests <- names(demoOneFactor)
latents <- c("factor")
nVar <- length(manifests)
nFac <- length(latents)
factorModel <- mxModel("One Factor ML",
mxData(cov(demoOneFactor), type="cov", numObs=500),
mxMatrix("Full", 1, nVar, free=T, values=colMeans(demoOneFactor), name="M"),
mxMatrix("Full", nVar, nFac, free=T, values=.2, name="A"),
mxMatrix("Diag", nVar, nVar, free=T, values=1, lbound=.0001, name="D"),
mxAlgebra(A %*% t(A) + D, name="C"),
mxAlgebra(sqrt(diag2vec(C)),name="P"),
mxFitFunctionML(),mxExpectationNormal("C", "M", dimnames=manifests))
omxCheckError(mxRun(factorModel),
paste("In model 'One Factor ML' the Normal expectation function",
"contains an expected means vector but the model is missing",
"some data for the observed means."))
factorModel <- mxModel("One Factor ML",
mxData(cov(demoOneFactor), means = colMeans(demoOneFactor), type="cov", numObs=500),
mxMatrix("Full", nVar, 1, free=T, values=colMeans(demoOneFactor), name="M"),
mxMatrix("Full", nVar, nFac, free=T, values=.2, name="A"),
mxMatrix("Diag", nVar, nVar, free=T, values=1, lbound=.0001, name="D"),
mxAlgebra(A %*% t(A) + D, name="C"),
mxAlgebra(sqrt(diag2vec(C)),name="P"),
mxFitFunctionML(),mxExpectationNormal("C", "M", dimnames=manifests))
omxCheckError(mxRun(factorModel),
paste("The expected means vector associated with",
"the expectation function in model 'One Factor ML'",
"is not a 1 x n matrix. It has dimensions 5 x 1."))
factorModel <- mxModel("One Factor FIML",
mxData(demoOneFactor, type="raw"),
mxMatrix("Full", nVar, 1, free=T, values=colMeans(demoOneFactor), name="M"),
mxMatrix("Full", nVar, nFac, free=T, values=.2, name="A"),
mxMatrix("Diag", nVar, nVar, free=T, values=1, lbound=.0001, name="D"),
mxAlgebra(A %*% t(A) + D, name="C"),
mxAlgebra(sqrt(diag2vec(C)),name="P"),
mxFitFunctionML(),mxExpectationNormal("C", "M", dimnames=manifests))
omxCheckError(mxRun(factorModel),
paste("The expected means vector associated with",
"the expectation function in model 'One Factor FIML'",
"is not a 1 x n matrix. It has dimensions 5 x 1."))
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