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#
# 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.
# -----------------------------------------------------------------------------
# Program: SimpleCheckpoint.R
# Author: Timothy R. Brick
# Date: 2010.05.12
#
# ModelType: Factor
# DataType: Continuous
# Field: None
#
# Purpose:
# OpenMx one factor matrix model demo for front page of website
#
# RevisionHistory:
# Steven M. Boker -- 2009.07.30 created as OneFactorMatrixDemo.R
# Hermine Maes -- 2010.02.22 updated & reformatted
# Timothy R. Brick -- 2010.05.12 added checkpointing
# Ross Gore -- 2011.06.07 added Model, Data & Field metadata
# -----------------------------------------------------------------------------
require(OpenMx)
# Load Library
# -----------------------------------------------------------------------------
data(demoOneFactor)
# Prepare Data
# -----------------------------------------------------------------------------
manifestVars <- names(demoOneFactor)
# Prepare the manifest variables
# -----------------------------------------------------------------------------
factorModel <- mxModel("One Factor",
mxMatrix(type="Full", nrow=5, ncol=1, values=0.2, free=TRUE, name="A", labels=letters[1:5]),
mxMatrix(type="Symm", nrow=1, ncol=1, values=1, free=FALSE, name="L"),
mxMatrix(type="Diag", nrow=5, ncol=5, values=1, free=TRUE, name="U"),
mxAlgebra(expression=A %*% L %*% t(A) + U, name="R"),
mxExpectationNormal(covariance="R", dimnames=manifestVars),
mxFitFunctionML(),
mxData(observed=cov(demoOneFactor), type="cov", numObs=500)
)
# Create an MxModel object using a matrix model specification
# -----------------------------------------------------------------------------
directory <- tempdir()
# Get a temporary directory for checkpointing
# -----------------------------------------------------------------------------
factorModel <- mxOption(factorModel, "Checkpoint Directory", directory)
factorModel <- mxOption(factorModel, "Checkpoint Units", "iterations")
factorModel <- mxOption(factorModel, "Checkpoint Count", 10)
# Prepare the model for the checkpointing
# -----------------------------------------------------------------------------
factorFit <- mxRun(factorModel, checkpoint = TRUE)
# Fit the model to the observed covariances
# -----------------------------------------------------------------------------
factorRestore <- mxRestore(factorModel, chkpt.directory = directory)
# Load the last saved state from the checkpoint file
# -----------------------------------------------------------------------------
omxCheckCloseEnough(mxEval(A, factorFit), mxEval(A, factorRestore), 0.001)
omxCheckCloseEnough(mxEval(U, factorFit), mxEval(U, factorRestore), 0.001)
# Compare non-checkpointed results to checkpointed results
# -----------------------------------------------------------------------------
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