📄 tcdf.m
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function p = tcdf(x,n);
% TCDF returns student cumulative distribtion function
%
% cdf = tcdf(x,DF);
%
% Computes the CDF of the students distribution
% with DF degrees of freedom
% x,DF must be matrices of same size, or any one can be a scalar.
%
% see also: NORMCDF, NORMPDF, NORMINV
% Reference(s):
% $Revision: 1.1 $
% $Id: tcdf.m,v 1.1 2003/09/12 12:14:45 schloegl Exp $
% Copyright (c) 2000-2003 by Alois Schloegl <a.schloegl@ieee.org>
% 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, write to the Free Software
% Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
% check size of arguments
n = x+n-x; % if this line causes an error, size of input arguments do not fit.
z = n ./ (n + x.^2);
% allocate memory
p = z;
p(x==Inf) = 1;
% workaround for invalid arguments in BETAINC
tmp = isnan(z) | ~(n>0);
p(tmp)= NaN;
ix = (~tmp);
p(ix) = betainc (z(ix), n(ix)/2, 1/2) / 2;
ix = find(x>0);
p(ix) = 1 - p(ix);
% shape output
p = reshape(p,size(z));
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