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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)
data <- matrix(-1, dimnames=list(c("x"), c("x")))
omxCheckError(mxData(data, type="cov", numObs = 50),
paste("The observed covariance matrix is not",
"a positive-definite matrix:\n",
"1 or more elements of eigen(covMatrix)$values <= 0"))
data <- matrix(-1, dimnames=list(c("x"), c("x")))
omxCheckError(mxData(data, type="cor", numObs = 50),
paste("The observed correlation matrix is not",
"a positive-definite matrix"))
data <- matrix(1, dimnames=list(c("x"), c("x")))
model <- mxModel('ErrorModel',
mxMatrix("Full", 1, 1, F, 1, name="cov",
dimnames=list(c("x"), c("x"))),
mxData(data, type="cov", numObs = 50),
mxFitFunctionML(),mxExpectationNormal("cov")
)
model$data$observed[1,1] <- -1
omxCheckError(mxRun(model),
"Observed Covariance Matrix is non-positive-definite.")
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