BNW using Octave instead of Matlab.

This version of BNW should perform the same as the original version. The only difference is that it uses Octave instead of Matlab when running BayesNet Toolbox during parameter learning.

I am calling this BNW_1.02. It can be accessed at:
compbio.uthsc.edu/BNW_1.02

1 files changed, 61 insertions, 0 deletions

diff --git a/sourcecodes/bnt-master/SLP/examples/test_chisquare.m b/sourcecodes/bnt-master/SLP/examples/test_chisquare.m
new file mode 100644
index 00000000..5282f1b0
--- /dev/null
+++ b/sourcecodes/bnt-master/SLP/examples/test_chisquare.m
@@ -0,0 +1,61 @@
+%
+% test CHI2
+%
+
+% Génération de données jouet
+N=20000;
+xx=5*rand(N,1);
+yy=5*rand(N,1);
+zz = 5*rand(N,1);
+z2= (xx+yy) ;
+Data=1+[round(xx) round(yy) round(z2) round(zz)];
+Data=Data';
+
+texte{1}='dependency';
+texte{2}='independency';
+
+%test='pearson'; % Pearson's Chi2
+test='LRT';     % Likelihood ratio test G2
+
+fprintf('\n\n\n\t=================================================\n');
+fprintf('\t\tChi2 Test for (conditional) independency\n');
+fprintf('\t\t(X, Y and Z are theoritically independant)\n');
+
+fprintf('\t=================================================\n');
+fprintf('Variables \t\t: Theory :   Results        (test=%s)\n',test);
+fprintf('------------------------------------------------------------------------\n');
+
+S=[];
+x=1; y=2;
+[IND CHI2] = cond_indep_chisquare(x,y,S,Data(:,1:100),test);
+fprintf('X, Y \t\t\t: DEPDCY : \tCHI2=%8.2f \t%s (not enough data)\n',CHI2,texte{IND+1});
+
+S=[];
+x=1; y=2;
+[IND CHI2] = cond_indep_chisquare(x,y,S,Data,test);
+fprintf('X, Y \t\t\t: INDPCY : \tCHI2=%8.2f \t%s\n',CHI2,texte{IND+1});
+
+S=[];
+x=1; y=3;
+[IND CHI2] = cond_indep_chisquare(x,y,S,Data,test);
+fprintf('X, X+Y \t\t\t: DEPDCY :\tCHI2=%8.2f \t%s\n',CHI2,texte{IND+1});
+
+S=[];
+x=1; y=4;
+[IND CHI2] = cond_indep_chisquare(x,y,S,Data,test);
+fprintf('X, Z \t\t\t: INDPCY :\tCHI2=%8.2f \t%s\n',CHI2,texte{IND+1});
+
+
+x=1; y=2; S=4;
+[IND CHI2] = cond_indep_chisquare(x,y,S,Data,test);
+fprintf('X, Y | Z \t\t: INDPCY : \tCHI2=%8.2f \tconditional %s\n',CHI2,texte{IND+1});
+
+x=1; y=2; S=3;
+[IND CHI2] = cond_indep_chisquare(x,y,S,Data,test);
+fprintf('X, Y | X+Y \t\t: DEPDCY : \tCHI2=%8.2f \tconditional %s\n',CHI2,texte{IND+1});
+
+x=1; y=2; S=[3 4];
+[IND CHI2] = cond_indep_chisquare(x,y,S,Data,test);
+fprintf('X, Y | {X+Y,Z}\t\t: DEPDCY : \tCHI2=%8.2f \tconditional %s\n',CHI2,texte{IND+1});
+
+fprintf('------------------------------------------------------------------------\n');
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