/* * BioJava development code * * This code may be freely distributed and modified under the * terms of the GNU Lesser General Public Licence. This should * be distributed with the code. If you do not have a copy, * see: * * http://www.gnu.org/copyleft/lesser.html * * Copyright for this code is held jointly by the individual * authors. These should be listed in @author doc comments. * * For more information on the BioJava project and its aims, * or to join the biojava-l mailing list, visit the home page * at: * * http://www.biojava.org/ * */ package org.biojava.nbio.survival.cox; import org.biojava.nbio.survival.cox.stats.Cholesky2; import org.biojava.nbio.survival.cox.stats.Chsolve2; /** * * @author Scooter Willis <willishf at gmail dot com> */ public class WaldTest { //coxph_wtest, df=as.integer(nvar),as.integer(ntest),as.double(var),tests= as.double(b),solve= double(nvar*ntest),as.double(toler.chol)) //coxph_wtest(Sint *nvar2, Sint *ntest, double *var, double *b,double *solve, double *tolerch) /** * * @param var * @param b * @param toler_chol * @return */ public static WaldTestInfo process(double[][] var, double[] b, double toler_chol) { double[][] b_ = new double[1][b.length]; for(int i = 0; i < b.length; i++){ b_[0][i] = b[i]; } return process(var,b_,toler_chol); } /** * * @param var * @param b * @param toler_chol * @return */ public static WaldTestInfo process(double[][] var, double[][] b, double toler_chol) { int i = 0; // if(ci.coefficientsList.size() == 1){ // double b_ = b[0][i]; // double t = (b_ * b_) / var[0][0]; // return; // } // double toler_chol = ci.toler; int ntest = 1; int nvar = b[0].length; double sum = 0; double[][] solve = new double[ntest][nvar]; double[] bsum = new double[ntest]; Cholesky2.process(var, nvar, toler_chol); int df = 0; for (i = 0; i < nvar; i++) { if (var[i][i] > 0) { df++; /* count up the df */ } } for (i = 0; i < ntest; i++) { for (int j = 0; j < nvar; j++) { solve[i][j] = b[i][j]; } Chsolve2.process(var, nvar, solve, i); /*solve now has b* var-inverse */ sum = 0; for (int j = 0; j < nvar; j++) { sum += b[i][j] * solve[i][j]; } bsum[i] = sum; /* save the result */ //b += nvar; /*move to next column of b */ // solve += nvar; } //* nvar2 = df; WaldTestInfo waldTestInfo = new WaldTestInfo(); waldTestInfo.setDf(df); waldTestInfo.solve = solve; waldTestInfo.bsum = bsum; return waldTestInfo; } }