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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.
# ----------------------------------
# Read libraries and set options.
options(width=80)
require(OpenMx)
# ----------------------------------
# Read the data and print descriptive statistics.
multiData1 <- suppressWarnings(try(read.csv("models/passing/data/multiData.csv"), silent=TRUE))
if (is(multiData1, "try-error")) multiData1 <- read.csv("data/multiData.csv")
# ----------------------------------
# Build an OpenMx bivariate regression model using y and x1
manifests <- c("x1", "x2", "y")
biRegModelRaw <- mxModel("FIML Bivariate Regression of y on x1 and x2",
type="RAM",
manifestVars=manifests,
mxPath(from=c("x1","x2"), to="y",
arrows=1,
free=TRUE, values=.2, labels=c("b1", "b2")),
mxPath(from=manifests,
arrows=2,
free=TRUE, values=.8,
labels=c("VarX1", "VarX2", "VarE")),
mxPath(from="x1", to="x2",
arrows=2,
free=TRUE, values=.2,
labels=c("CovX1X2")),
mxPath(from="one", to=manifests,
arrows=1, free=TRUE, values=.1,
labels=c("MeanX1", "MeanX2", "MeanY")),
mxData(observed=multiData1, type="raw")
)
biRegModelRaw <- mxOption(biRegModelRaw, "Standard Errors", "Yes")
biRegModelRawOut <- mxRun(biRegModelRaw)
summary(biRegModelRawOut)
lmOut <- lm(y~x1+x2, data=multiData1)
lmOutSummary <- summary(lmOut)
omxCheckCloseEnough(biRegModelRawOut$output$estimate[1:2],
lmOutSummary$coef[2:3,1],
0.001)
omxCheckCloseEnough(biRegModelRawOut$output$standardErrors[1:2],
lmOutSummary$coef[2:3,2],
0.001)
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