--- /dev/null
+function R = histo2(Y, W)
+% HISTO2 calculates histogram for multiple columns with separate bin values
+% for each data column.
+%
+% R = HISTO2(Y)
+% R = HISTO2(Y, W)
+% Y data
+% W weight vector containing weights of each sample,
+% number of rows of Y and W must match.
+% default W=[] indicates that each sample is weighted with 1.
+%
+% R = HISTO(...)
+% R is a struct with th fields
+% R.X the bin-values, bin-values are computed separately for each
+% data column, thus R.X is a matrix, each column contains the
+% the bin values of for each data column, unused elements are indicated with NaN.
+% In order to have common bin values, use HISTO3.
+% R.H is the frequency of occurence of value X
+% R.N are the number of valid (not NaN) samples (i.e. sum of weights)
+%
+% more histogram-based results can be obtained by HIST2RES2
+%
+% see also: HISTO, HISTO2, HISTO3, HISTO4
+%
+% REFERENCE(S):
+% C.E. Shannon and W. Weaver "The mathematical theory of communication" University of Illinois Press, Urbana 1949 (reprint 1963).
+
+% $Id: histo2.m 8383 2011-07-16 20:06:59Z schloegl $
+% Copyright (C) 1996-2002,2008,2011 by Alois Schloegl <alois.schloegl@gmail.com>
+% This is part of the TSA-toolbox
+% http://hci.tugraz.at/~schloegl/matlab/tsa/
+%
+% This program is free software: you can redistribute it and/or modify
+% it under the terms of the GNU General Public License as published by
+% the Free Software Foundation, either version 3 of the License, or
+% (at your option) any later version.
+%
+% This program is distributed in the hope that it will be useful,
+% but WITHOUT ANY WARRANTY; without even the implied warranty of
+% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+% GNU General Public License for more details.
+%
+% You should have received a copy of the GNU General Public License
+% along with this program. If not, see <http://www.gnu.org/licenses/>.
+
+
+%%%%% check input arguments %%%%%
+[yr,yc] = size(Y);
+if nargin < 2,
+ W = [];
+end;
+if ~isempty(W) && (yr ~= numel(W)),
+ error('number of rows of Y does not match number of elements in W');
+end;
+
+%%%%% identify all possible X's and generate overall Histogram %%%%%
+N = sum(~isnan(Y), 1);
+NN = N;
+if isempty(W)
+ sY = sort(Y,1);
+else
+ [sY, idx] = sort(Y,1);
+ W = cumsum(W(idx)); %% W becomes cumulative sum
+end;
+[ix,iy] = find( diff(sY, [], 1) > 0);
+nn0 = 0;
+
+for k = 1:yc,
+ tmp = [ix(iy==k); N(k)];
+ nn1 = length(tmp);
+
+ if isempty(W)
+ H(1:nn1,k) = [tmp(1); diff(tmp)];
+ else
+ %%% Note that W is the cumulative sum
+ H(1:nn1,k) = [W(tmp(1),k); diff(W(tmp,k))];
+ NN(k) = W(N(k), k);
+ end;
+ X(1:nn1, k) = sY(tmp, k);
+
+ if k==1;
+ nn0 = nn1;
+ elseif nn1 < nn0,
+ H (1+nn1:nn0, k) = NaN;
+ X (1+nn1:nn0, k) = NaN;
+ elseif nn1 > nn0,
+ H (1+nn0:nn1, 1:k-1) = NaN;
+ X (1+nn0:nn1, 1:k-1) = NaN;
+ nn0 = nn1;
+ end;
+end;
+
+R.datatype = 'HISTOGRAM';
+R.H = H;
+R.X = X;
+R.N = NN;
+