Java tutorial
/* * Copyright 2012 J. Patrick Meyer * * 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. */ package com.itemanalysis.psychometrics.scaling; import org.apache.commons.io.FileUtils; import org.junit.Test; import java.io.BufferedReader; import java.io.File; import java.io.FileReader; import java.io.IOException; import static org.junit.Assert.assertEquals; public class PercentileRankTest { public PercentileRankTest() { } /** * True values computed using Brian Habing's R function * Px<-function(x,pop){ * xstar<-floor(x+.5) * max(0,min(100, 100*(Fx(xstar-1,pop)+(x-(xstar-.5))*(Fx(xstar,pop)-Fx(xstar-1,pop)))))} */ // @Test public void testPercentileRank() { double[] truePercentileRank = this.getPercentileRank(); double[][] x = this.getData(); double[] sum = new double[1000]; PercentileRank prank = new PercentileRank(); for (int i = 0; i < x.length; i++) { sum[i] = 0.0; for (int j = 0; j < 50; j++) { sum[i] += x[i][j]; } prank.addValue(sum[i]); } prank.createLookupTable(); System.out.println("Incremental percentile rank test"); //only using a precision of 1e-2 because that's all that's given by R output for (int i = 0; i < truePercentileRank.length; i++) { assertEquals("Incremental test", truePercentileRank[i], prank.getPercentileRankAt((int) sum[i]), 1e-2); } } public double[][] getData() { double[][] x = new double[1000][50]; try { File f = FileUtils.toFile(this.getClass().getResource("/testdata/scaling.txt")); BufferedReader br = new BufferedReader(new FileReader(f)); String line = ""; String[] s = null; int row = 0; br.readLine();//eliminate column names by skipping first row while ((line = br.readLine()) != null) { s = line.split(","); for (int j = 0; j < 50; j++) { x[row][j] = Double.parseDouble(s[j]); } row++; } br.close(); } catch (IOException ex) { ex.printStackTrace(); } return x; } public double[] getPercentileRank() { double[] x = new double[1000]; try { File f = FileUtils.toFile(this.getClass().getResource("/testdata/scaling.txt")); BufferedReader br = new BufferedReader(new FileReader(f)); String line = ""; String[] s = null; int row = 0; br.readLine();//eliminate column names by skipping first row while ((line = br.readLine()) != null) { s = line.split(","); x[row] = Double.parseDouble(s[51]);//percentile rank is in column 52 row++; } br.close(); } catch (IOException ex) { ex.printStackTrace(); } return x; } }