Esempio n. 1
0
        public void testEPV_P(int NumOfItems, ModelNames.Models paramModel)
        {
            resultFlag = true;

            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 + ", 5, 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("*******************************************");

            CATItems itemBank = new CATItems(PolyItems[0].Length, paramModel.EnumToString(), 5);

            Tuple <CATItems.ColumnNames, int>[] cols = itemBank.GetKeys();

            for (int i = 0; i < cols.Length; i++)
            {
                itemBank.SetItemParamter(cols[i], PolyItems[i].Select(y => (double)y).ToArray());
            }

            #region "Test block for Ability Values (th)"

            double[] th = CatRcs.Utils.CommonHelper.Sequence(-6, 6, length: 11);

            for (int j = 0; j < th.Length; j++)
            {
                string temp = th[j].ToString(nfi);

                // Polytomous Items
                DataFrame it_given_R = engineObj.Evaluate("it_given_R <- PolyItems[c(4, 8),]").AsDataFrame();
                engineObj.SetSymbol("it_given_R", it_given_R);

                //Creation of a response pattern for theta value
                engineObj.Evaluate("set.seed(1)");
                NumericVector x_val = engineObj.Evaluate("x_val <- genPattern(" + th[j].ToString(nfi) + ", it_given_R, model = modelName)").AsNumeric();
                engineObj.SetSymbol("x_val", x_val);

                int[] x = x_val.Select(y => (int)y).ToArray();

                CATItems it_given = itemBank.FindItem(new int[] { 4, 8 });

                // Call "EPV" function from R
                NumericVector r_epv = engineObj.Evaluate("r_epv <- EPV(PolyItems, 1, x_val, " + th[j].ToString(nfi) + ", it_given_R, model = modelName)").AsNumeric();

                // Call "EPV" function from CatRCS
                double cs_epv = CatRLib.EPV(itemBank, 1, x, th[j], it_given, paramModel.EnumToString());

                if (r_epv[0] - cs_epv > testEpsilon)
                {
                    resultFlag = false;
                }
            }

            Assert.IsTrue(resultFlag);

            #endregion
        }
Esempio n. 2
0
        public void testEPV_D()
        {
            resultFlag = true;

            REngine.SetEnvironmentVariables();

            REngine engineObj = REngine.GetInstance();

            // Loading a library from R
            engineObj.Evaluate("library(catR)");

            // Dichotomous Items
            DataFrame DichoItems = engineObj.Evaluate("DichoItems <- genDichoMatrix(items = 200)").AsDataFrame();

            engineObj.SetSymbol("DichoItems", DichoItems);

            // Adapting with the existing "CAT-Items" type (Wrapper)
            CATItems itemBank = new CATItems(DichoItems[0].Select(y => (double)y).ToArray(), DichoItems[1].Select(y => (double)y).ToArray(),
                                             DichoItems[2].Select(y => (double)y).ToArray(), DichoItems[3].Select(y => (double)y).ToArray());

            // test for different theta values
            double[] th = CatRcs.Utils.CommonHelper.Sequence(-6, 6, length: 11);

            var stopwatch = new Stopwatch();

            stopwatch.Restart();

            for (int t = 0; t < th.Length; t++)
            {
                string temp = th[t].ToString(nfi);

                // Dichotomous Items
                DataFrame it_given_R = engineObj.Evaluate("it_given_R <- DichoItems[c(4, 8),]").AsDataFrame();
                engineObj.SetSymbol("it_given_R", it_given_R);

                //Creation of a response pattern for theta value
                engineObj.Evaluate("set.seed(1)");
                NumericVector x_val = engineObj.Evaluate("x_val <- genPattern(" + th[t].ToString(nfi) + ", it_given_R)").AsNumeric();
                engineObj.SetSymbol("x_val", x_val);

                int[] x = x_val.Select(y => (int)y).ToArray();

                int[]    index    = new int[] { 4, 8 };
                CATItems it_given = new CATItems(index.Length);  // itemBank.FindItem(new int[] { 4, 8 });

                for (int i = 0; i < index.Length; i++)
                {
                    it_given.a[i] = itemBank.a[index[i] - 1];
                    it_given.b[i] = itemBank.b[index[i] - 1];
                    it_given.c[i] = itemBank.c[index[i] - 1];
                    it_given.d[i] = itemBank.d[index[i] - 1];
                }

                // Call "EPV" function from R
                NumericVector r_epv = engineObj.Evaluate("r_epv <- EPV(DichoItems, 1, x_val, " + th[t].ToString(nfi) + ", it_given_R)").AsNumeric();

                stopwatch.Restart();

                // Call "EPV" function from CatRCS
                double cs_epv = CatRLib.EPV(itemBank, 1, x, th[t], it_given, "");

                Console.WriteLine("Time taken: " + stopwatch.ElapsedMilliseconds);

                if (r_epv[0] - cs_epv > testEpsilon)
                {
                    resultFlag = false;
                }

                Console.WriteLine(r_epv[0] + " " + cs_epv);
            }

            Assert.IsTrue(resultFlag);
        }