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📄 discrete_cdf.m

📁 similer program for matlab
💻 M
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## Copyright (C) 1996, 1997, 1998, 2000, 2001, 2002, 2004, 2005, 2006,##               2007 Kurt Hornik#### 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} {} discrete_cdf (@var{x}, @var{v}, @var{p})## For each element of @var{x}, compute the cumulative distribution## function (CDF) at @var{x} of a univariate discrete distribution which## assumes the values in @var{v} with probabilities @var{p}.## @end deftypefn## Author: KH <Kurt.Hornik@wu-wien.ac.at>## Description: CDF of a discrete distributionfunction cdf = discrete_cdf (x, v, p)  if (nargin != 3)    print_usage ();  endif  sz = size (x);  if (! isvector (v))    error ("discrete_cdf: v must be a vector");  elseif (! isvector (p) || (length (p) != length (v)))    error ("discrete_cdf: p must be a vector with length (v) elements");  elseif (! (all (p >= 0) && any (p)))    error ("discrete_cdf: p must be a nonzero, nonnegative vector");  endif  n = numel (x);  m = length (v);  x = reshape (x, n, 1);  v = reshape (v, 1, m);  p = reshape (p / sum (p), m, 1);  cdf = zeros (sz);  k = find (isnan (x));  if (any (k))    cdf (k) = NaN;  endif  k = find (!isnan (x));  if (any (k))    n = length (k);    cdf (k) = ((x(k) * ones (1, m)) >= (ones (n, 1) * v)) * p;  endifendfunction

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