public static PivotResult CreatePivotResult(PopulationPivotAnalysis pivotAnalysis, Aggregate aggregate,
PopulationAnalysisCovariateField genderFielder,
PopulationAnalysisCovariateField raceField,
PopulationAnalysisParameterField bmiField,
PopulationAnalysisPKParameterField cmaxField)
{
var pivotResultCreator = new PivotResultCreator(new Pivoter(), new PopulationAnalysisFlatTableCreator());
var populationSimulation = A.Fake <IPopulationDataCollector>();
A.CallTo(() => populationSimulation.NumberOfItems).Returns(3);
//thin, thin, big
A.CallTo(() => populationSimulation.AllValuesFor(bmiField.ParameterPath)).Returns(new List <double> {
10, 20, 30
});
A.CallTo(() => populationSimulation.AllCovariateValuesFor(genderFielder.Covariate)).Returns(new List <string> {
"Male", "Female", "Male"
});
A.CallTo(() => populationSimulation.AllCovariateValuesFor(raceField.Covariate)).Returns(new List <string> {
"US", "EU", "EU"
});
A.CallTo(() => populationSimulation.AllPKParameterValuesFor(cmaxField.QuantityPath, cmaxField.PKParameter)).Returns(new List <double> {
900, 600, 1000
});
A.CallTo(() => populationSimulation.AllSimulationNames).Returns(new List <string> {
"Sim", "Sim", "Sim"
});
return(pivotResultCreator.Create(pivotAnalysis, populationSimulation, new ObservedDataCollection(), aggregate));
}
public static PivotResult CreateOutputResults(PopulationPivotAnalysis analysis, PopulationAnalysisCovariateField genderField, PopulationAnalysisOutputField outputField1,
PopulationAnalysisOutputField outputField2,
ObservedDataCollection observedDataCollection = null)
{
var populationSimulation = A.Fake <IPopulationDataCollector>();
var pivotResultCreator = new PivotResultCreator(new Pivoter(), new PopulationAnalysisFlatTableCreator());
//simulation with 4 time points
var time = new QuantityValues {
Values = new float[] { 1, 2, 3, 4 }
};
var output11 = createValues(time, 10, 20, 30, 40);
var output12 = createValues(time, 100, 200, 300, 400);
var output13 = createValues(time, 1000, 2000, 3000, 4000);
var output21 = createValues(time, 50, 60, 70, 80);
var output22 = createValues(time, 500, 600, 700, 800);
var output23 = createValues(time, 5000, 6000, 7000, 8000);
A.CallTo(() => populationSimulation.NumberOfItems).Returns(3);
A.CallTo(() => populationSimulation.AllCovariateValuesFor(CoreConstants.Covariates.GENDER)).Returns(new List <string> {
"Male", "Female", "Male"
});
A.CallTo(() => populationSimulation.AllOutputValuesFor(outputField1.QuantityPath)).Returns(new List <QuantityValues> {
output11, output12, output13
});
A.CallTo(() => populationSimulation.AllOutputValuesFor(outputField2.QuantityPath)).Returns(new List <QuantityValues> {
output21, output22, output23
});
A.CallTo(() => populationSimulation.AllSimulationNames).Returns(new List <string> {
"Sim", "Sim", "Sim"
});
if (observedDataCollection == null)
{
observedDataCollection = new ObservedDataCollection();
}
return(pivotResultCreator.Create(analysis, populationSimulation, observedDataCollection, AggregationFunctions.QuantityAggregation));
}
