## Copyright (C) 2004, 2005, 2006, 2007, 2008 Paul Kienzle
##
## This file is part of Octave.
##
## Octave 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.
##
## Octave 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 Octave; see the file COPYING.  If not, see
## <http://www.gnu.org/licenses/>.

## -*- texinfo -*-
## @deftypefn {Function File} {[@var{count}, @var{mean}, @var{var}] =} spstats (@var{s})
## @deftypefnx {Function File} {[@var{count}, @var{mean}, @var{var}] =} spstats (@var{s}, @var{j})
## Return the stats for the non-zero elements of the sparse matrix @var{s}.
## @var{count} is the number of non-zeros in each column, @var{mean}
## is the mean of the non-zeros in each column, and @var{var} is the  
## variance of the non-zeros in each column.
##
## Called with two input arguments, if @var{s} is the data and @var{j}
## is the bin number for the data, compute the stats for each bin.  In 
## this case, bins can contain data values of zero, whereas with 
## @code{spstats (@var{s})} the zeros may disappear.
## @end deftypefn

function [count, mean, var] = spstats (S, j)

  if (nargin < 1 || nargin > 2)
    print_usage ();
  endif

  if (nargin == 1)
    [i, j, v] = find (S);
  else
    v = S;    
    i = 1:length (v);
    S = sparse (i, j, v);
  endif 
  [n, m] = size (S);

  count = sum (sparse (i, j, 1, n, m));
  if (nargout > 1) 
    mean = sum (S) ./ count; 
  endif
  if (nargout > 2) 
    ## FIXME Variance with count = 0 or 1?
    diff = S - sparse (i, j, mean(j), n, m); 
    var = sum (diff .* diff) ./ (count - 1);
  endif

endfunction

%!test
%! [n,m,v] = spstats([1 2 1 2 3 4],[2 2 1 1 1 1]);
%! assert(n,sparse([4,2]));
%! assert(m,sparse([10/4,3/2]),10*eps);
%! assert(v,sparse([5/3,1/2]),10*eps);