Nothing
require(RNMImport)
# store a path. This step is optional
setNmPath("runPath", system.file(package = "RNMImport", "examples/theoph"))
# Import the run by specifying control and list files. Note the way that the path parameter is specified in order to
# use the stored path
testRun <- importNm(conFile = "theoph.con", reportFile = "theoph.lst", path = "(runPath)")
# show the basic information
show(testRun)
# extract the only problem in this run
testModel <- getProblem(testRun)
# show basic information
show(testModel)
cat("\n")
# extract the parameters. No standard errors are available for this run unfortunately
print(getThetas(testModel))
print(getOmegas(testModel))
print(getSigmas(testModel))
# we can also extract them from the full run object
print(getThetas(testRun, problemNum = 1))
# extract the iterations. This must be done manually for now, but will be changed in the future
print(testModel@parameterIterations)
# now extract the data as a single data.frame
modelData <- nmData(testModel, returnMode = "singleDF")
print(head(modelData))
# now get a list of seperate input and output
modelData <- nmData(testModel, returnMode = "DFList")
print(head(modelData$input))
print(head(modelData$output))
# add a categorical variable
testModel <- addDerivedCategorical(testModel, varName = "IPRED", breaks = 4)
print(addedData(testModel))
removeNmPath("runPath")
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