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#
# Copyright 2007-2020 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)
library(testthat)
covMatrix <- matrix( c(0.77642931, 0.39590663, 0.39590663, 0.49115615),
nrow = 2, ncol = 2, byrow = TRUE, dimnames = list(c('a','b'), c('a','b')))
model <- mxModel("missingtest",
mxMatrix("Full", values = c(0,0.2,0,0), name="A", nrow=2, ncol=2),
mxMatrix("Symm", values = c(0.8,0,0,0.8), name="S", nrow=2, ncol=2, free=TRUE),
mxMatrix("Iden", name="F", nrow=2, ncol=2, dimnames = list(c('a','b'), c('a','b'))),
mxData(covMatrix, 'cov', numObs = 100),
mxExpectationRAM("A", "S", "F"),
mxFitFunctionML())
model[["A"]]$free[2,1] <- TRUE
model[["A"]]$values[2,1] <- NA # oops
omxCheckError(mxRun(model, silent=TRUE),
"Parameter 'missingtest.A[2,1]' has no starting value")
model$A$free[,] <- FALSE
model$S$free[,] <- FALSE
model <- omxAssignFirstParameters(model) # should do nothing with no free parameters
test<-matrix(rnorm(100,0,1),ncol=2)
colnames(test)<-c('v1','v2')
testm<-mxModel(
type='RAM',
mxData(test,type='raw'),
mxMatrix(name='A',ncol=2,nrow=2),
mxMatrix(name='S',ncol=2,nrow=2,labels=c('freematrix1[1,1]',NA,NA,'freematrix2[1,1]')),
mxMatrix(name='freematrix1',values=3,free=T,nrow=1,ncol=1,labels='freeparam1'),
mxMatrix(name='freematrix2',values=2,free=T,nrow=1,ncol=1,labels='freeparam1'),
mxMatrix(name='M',ncol=2,nrow=1),
mxMatrix(name='F',type='Diag',,values=1,ncol=2,nrow=2,dimnames=list(c('v1','v2'),c('v1','v2'))),
mxExpectationRAM(M='M',dimnames=c('v1','v2')),
mxFitFunctionML()
)
omxCheckEquals(length(omxGetParameters(testm)), 1L)
vn <- expect_warning(mxModel("varName", type="RAM",
manifestVars=':-<'),
"illegal because it contains the characters")
vn <- expect_warning(mxModel("varName", type="RAM",
latentVars = ":-)"),
"illegal because it contains the characters")
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