wolffd@0: function [sig,cm,truex,truey] = som_dreval(sR,D,sigmea,inds1,inds2,andor)
wolffd@0: 
wolffd@0: % SOM_DREVAL Evaluate the significance of the given descriptive rule.
wolffd@0: %
wolffd@0: % [sig,Cm,truex,truey] = som_dreval(cR,D,sigmea,[inds1],[inds2],[andor]) 
wolffd@0: % 
wolffd@0: %  sR      (struct) a rule struct, or an array of rule structs
wolffd@0: %  D       (matrix) the data, of size [dlen x nr]
wolffd@0: %  sigmea  (string) significance measure ('accuracy','accuracyI','mutuconf'), 
wolffd@0: %                   see definitions below
wolffd@0: %  [inds1] (vector) indeces belonging to the group
wolffd@0: %                   (by default: the whole data set) 
wolffd@0: %  [inds2] (vector) indeces belonging to the contrast group
wolffd@0: %                   (by default: the rest of the data set)
wolffd@0: %  [andor] (string) 'and' or 'or': which conjunction operator to use
wolffd@0: %                   to join the rules for each variable
wolffd@0: %
wolffd@0: %  sig     (scalar) significance of the rule
wolffd@0: %  cm      (vector) length 4, vectorized confusion matrix ([a,c,b,d]: see below)
wolffd@0: %  truex   (vector) binary vector indicating for each item in the 
wolffd@0: %                   group whether it was true or not
wolffd@0: %  truey   (vector) binary vector indicating for each item in the 
wolffd@0: %                   contrast group whether it was true or not
wolffd@0: %
wolffd@0: % Descriptive rule significance is measured as the match between the 
wolffd@0: % given groups (inds1 = G1, inds2 = G2) and the rule being true or false.
wolffd@0: % 
wolffd@0: %          G1    G2   
wolffd@0: %       ---------------    accuracy  = (a+d) / (a+b+c+d)
wolffd@0: % true  |  a  |   b   |    
wolffd@0: %       |--------------    mutuconf  =  a*a  / ((a+b)(a+c)) 
wolffd@0: % false |  c  |   d   | 
wolffd@0: %       ---------------    accuracyI =   a   / (a+b+c)
wolffd@0: %
wolffd@0: % See also  SOM_DRSIGNIF, SOM_DRMAKE.
wolffd@0: 
wolffd@0: % Contributed to SOM Toolbox 2.0, March 4th, 2002 by Juha Vesanto
wolffd@0: % Copyright (c) by Juha Vesanto
wolffd@0: % http://www.cis.hut.fi/projects/somtoolbox/
wolffd@0: 
wolffd@0: % Version 2.0beta juuso 040302
wolffd@0: 
wolffd@0: %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
wolffd@0: 
wolffd@0: % input arguments
wolffd@0: if isstruct(D), 
wolffd@0:   switch D.type, 
wolffd@0:    case 'som_data', D = D.data; 
wolffd@0:    case 'som_map',  D = D.codebook; 
wolffd@0:   end
wolffd@0: end
wolffd@0: [dlen,dim] = size(D);
wolffd@0: if nargin<4, inds1 = 1:dlen; end
wolffd@0: if nargin<5, i = ones(dlen,1); i(inds1) = 0; inds2 = find(i); end
wolffd@0: if nargin<6, andor = 'and'; end
wolffd@0: 
wolffd@0: % initialize
wolffd@0: nr  = length(sR);
wolffd@0: X   = D(inds1,:);
wolffd@0: Y   = D(inds2,:); 
wolffd@0: nx  = size(X,1);
wolffd@0: ny  = size(Y,1);  
wolffd@0: truex = ones(nx,1);
wolffd@0: truey = ones(ny,1);
wolffd@0: 
wolffd@0: % go through the individual rules
wolffd@0: for i=1:nr,  
wolffd@0:   tx = (X(:,i)>=sR(i).low & X(:,i)<sR(i).high);
wolffd@0:   tx(isnan(X(:,i))) = sR(i).nanis;     
wolffd@0: 
wolffd@0:   ty = (Y(:,i)>=sR(i).low & Y(:,i)<sR(i).high);
wolffd@0:   ty(isnan(Y(:,i))) = sR(i).nanis;     
wolffd@0: 
wolffd@0:   switch andor, 
wolffd@0:    case 'and', truex = (truex & tx); truey = (truey & ty);
wolffd@0:    case 'or',  truex = (truex | tx); truey = (truey | ty);
wolffd@0:   end    
wolffd@0: end  
wolffd@0: 
wolffd@0: % evaluate criteria
wolffd@0: tix = sum(truex(isfinite(truex)));
wolffd@0: tiy = sum(truey(isfinite(truey))); 
wolffd@0: cm  = [tix,nx-tix,tiy,ny-tiy];
wolffd@0: sig = som_drsignif(sigmea,cm);
wolffd@0: 
wolffd@0: return; 
wolffd@0:     
wolffd@0: