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📄 tcdf.m

📁 matlab数字信号处理工具箱
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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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