public void test_ThetaEST_SemTheta_P(int NumOfItems, ModelNames.Models paramModel)
{
resultFlag = true;
var stopwatch = new Stopwatch();
REngine.SetEnvironmentVariables();
REngine engineObj = REngine.GetInstance();
// Loading a library from R
engineObj.Evaluate("library(catR)");
// Polytomous Items
CharacterVector modelName = engineObj.CreateCharacterVector(new string[] { paramModel.EnumToString() });
engineObj.SetSymbol("modelName", modelName);
DataFrame PolyItems = engineObj.Evaluate("PolyItems <- genPolyMatrix(" + NumOfItems + ", 4, model = modelName, same.nrCat = TRUE)").AsDataFrame();
engineObj.SetSymbol("PolyItems", PolyItems);
// Adapting with the existing "CAT-Items" type (Wrapper)
Console.WriteLine("*******************************************");
Console.WriteLine("Polytomous Items, Model : " + paramModel.EnumToString());
Console.WriteLine("*******************************************");
// Create item object
CATItems itemBank = new CATItems(NumOfItems: NumOfItems, model: paramModel.EnumToString(), nrCat: 4, same_nrCat: false);
//DataFrame iii = engineObj.Evaluate("item_new <- as.matrix(PolyItems)").AsDataFrame();
for (int k = 0; k < itemBank.colSize; k++)
{
itemBank.DataWrapper(PolyItems[k].Select(y => (double)y).ToArray(), k);
}
//itemBank = RtoCSDataHandler.DataConverterRtoCS(itemBank, iii.Select(y => (double)y).ToArray());
//itemBank = RtoCSDataHandler.DataConverterRtoCS(itemBank, PolyItems);
//Creation of a response pattern
engineObj.Evaluate("set.seed(1)");
NumericVector x_val = engineObj.Evaluate("x_val <- genPattern(1, PolyItems, model = modelName)").AsNumeric();
engineObj.SetSymbol("x_val", x_val);
int[] x = x_val.Select(y => (int)y).ToArray();
Console.WriteLine("Start of R Processing: " + DateTime.Now.TimeOfDay.ToString());
stopwatch.Restart();
// Call "ThetaEST" function from R, method = \"ML\"
//NumericVector r_ThetaEst = engineObj.Evaluate("r_ThetaEst <- thetaEst(PolyItems, x_val, model = modelName, method = \"BM\", priorDist = \"norm\", priorPar = c(-2, 2))").AsNumeric();
NumericVector r_ThetaEst = engineObj.Evaluate("r_ThetaEst <- thetaEst(PolyItems, x_val, modelName)").AsNumeric();
engineObj.SetSymbol("r_ThetaEst", r_ThetaEst);
Console.WriteLine("R Time taken: " + stopwatch.ElapsedMilliseconds + " ms");
Console.WriteLine("R Theta Calculation Finished on: " + DateTime.Now.TimeOfDay.ToString());
double[] priorPar = new double[2]; priorPar[0] = -2; priorPar[1] = 2;
Console.WriteLine("Start of CS Processing: " + DateTime.Now.TimeOfDay.ToString());
stopwatch.Restart();
double cs_ThetaEst = CatRLib.ThetaEst(itemBank, x, paramModel.EnumToString());
// Call "ThetaEST" function from CS
//double cs_ThetaEst = CatRLib.ThetaEst(it: itemBank, x: x, method:"BM", model: paramModel.EnumToString(), priorPar: priorPar, priorDist: "norm");
Console.WriteLine("CS Time taken: " + stopwatch.ElapsedMilliseconds + " ms");
Console.WriteLine("CS Theta Calculation Finished on: " + DateTime.Now.TimeOfDay.ToString());
// Compare result of function "ThetaEst"
if (decimal.Round(Convert.ToDecimal(r_ThetaEst[0]), decimalPoint) - decimal.Round(Convert.ToDecimal(cs_ThetaEst), decimalPoint) > decimal.Round(Convert.ToDecimal(testEpsilon), decimalPoint))
{
resultFlag = false;
}
// Call "SemTheta" function from R
NumericVector r_ThetaSem = engineObj.Evaluate("r_ThetaSem <- semTheta(r_ThetaEst, PolyItems, model = modelName, method = \"BM\", priorDist = \"norm\", priorPar = c(-2, 2))").AsNumeric();
// Call "SemTheta" function from CS
double cs_ThetaSem = CatRLib.SemTheta(thEst: cs_ThetaEst, it: itemBank, method: "BM", model: paramModel.EnumToString(), priorPar: priorPar, priorDist: "norm");
// Compare result of function "SemTheta"
if (decimal.Round(Convert.ToDecimal(r_ThetaSem[0]), decimalPoint) - decimal.Round(Convert.ToDecimal(cs_ThetaSem), decimalPoint) > decimal.Round(Convert.ToDecimal(testEpsilon), decimalPoint))
{
resultFlag = false;
}
Assert.IsTrue(resultFlag);
}
