--- /dev/null
+function p = normcdf(x,m,s)
+% NORMCDF returns normal cumulative distribtion function
+%
+% cdf = normcdf(x,m,s);
+%
+% Computes the CDF of a the normal distribution
+% with mean m and standard deviation s
+% default: m=0; s=1;
+% x,m,s must be matrices of same size, or any one can be a scalar.
+%
+% see also: NORMPDF, NORMINV
+
+% Reference(s):
+
+% $Id: normcdf.m 9033 2011-11-08 20:58:07Z schloegl $
+% Copyright (C) 2000-2003,2010,2011 by Alois Schloegl <alois.schloegl@gmail.com>
+% This function is part of the NaN-toolbox
+% http://pub.ist.ac.at/~schloegl/matlab/NaN/
+
+% 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 2 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/>.
+
+
+if nargin==1,
+ m=0; s=1;
+elseif nargin==2,
+ s=1;
+end;
+
+% allocate output memory and check size of arguments
+z = (x-m)./s; % if this line causes an error, input arguments do not fit.
+
+p = (1 + erf(z/sqrt(2)))/2;
+
+z = (s==0);
+p((x<m) & z) = 0;
+
+p((x==m)& z) = 0.5;
+
+p((x>m) & z) = 1;
+
+p(isnan(x) | isnan(m) | isnan(s) | (s<0)) = nan;
+
+%!assert(sum(isnan(normcdf([-inf,-2,-1,-.5,0,.5,1,2,3,inf,nan]',2,0))),1)
+
+
+
+
+
+