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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.
require(OpenMx)
set.seed(99)
data <- data.frame(x=rnorm(10), y=as.numeric(sample(1:2, size=10, replace=TRUE)))
for (toSortData in c(TRUE,FALSE)) {
model <- mxModel('Test Definition Row Sorting',
mxMatrix('Full', 1, 2, values=0, free=TRUE, name='TwoMeans'),
mxMatrix('Full', 1, 1, values=1, free=FALSE, name='Var'),
mxAlgebra(TwoMeans[1, data.y], 'expMean'),
mxData(data, 'raw', sort=toSortData),
mxFitFunctionML(),
mxExpectationNormal('Var', 'expMean', dimnames='x')
)
fit <- mxRun(model)
fit.means <- omxGetParameters(fit)
obs.means <- c(mean(data[data$y==1,'x']), mean(data[data$y==2,'x']))
omxCheckCloseEnough(fit.means, obs.means, 0.001)
perRow <- sapply(1:10, function(row) mxEval(expMean, fit, defvar.row=row, compute=T))
group <- apply(cbind(abs(perRow - fit.means[1]),
abs(perRow - fit.means[2])), 1, order)[1,]
omxCheckEquals(data$y, group)
}
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