Mercurial > hg > octave-lyh
view scripts/statistics/distributions/normal_cdf.m @ 3922:38c61cbf086c
[project @ 2002-05-01 06:48:35 by jwe]
author | jwe |
---|---|
date | Wed, 01 May 2002 06:48:36 +0000 |
parents | 434790acb067 |
children | c0532bbaefd7 |
line wrap: on
line source
## Copyright (C) 1995, 1996, 1997 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 2, 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, write to the Free ## Software Foundation, 59 Temple Place - Suite 330, Boston, MA ## 02111-1307, USA. ## -*- texinfo -*- ## @deftypefn {Function File} {} normal_cdf (@var{x}, @var{m}, @var{v}) ## For each element of @var{x}, compute the cumulative distribution ## function (CDF) at @var{x} of the normal distribution with mean ## @var{m} and variance @var{v}. ## ## Default values are @var{m} = 0, @var{v} = 1. ## @end deftypefn ## Author: TT <Teresa.Twaroch@ci.tuwien.ac.at> ## Description: CDF of the normal distribution function cdf = normal_cdf (x, m, v) if (! ((nargin == 1) || (nargin == 3))) usage ("normal_cdf (x, m, v)"); endif if (nargin == 1) m = 0; v = 1; endif [retval, x, m, v] = common_size (x, m, v); if (retval > 0) error ("normal_cdf: x, m and v must be of common size or scalars"); endif [r, c] = size (x); s = r * c; x = reshape (x, 1, s); m = reshape (m, 1, s); v = reshape (v, 1, s); cdf = zeros (1, s); k = find (isinf (m) | isnan (m) | !(v >= 0) | !(v < Inf)); if (any (k)) cdf(k) = NaN * ones (1, length (k)); endif k = find (!isinf (m) & !isnan (m) & (v > 0) & (v < Inf)); if (any (k)) cdf(k) = stdnormal_cdf ((x(k) - m(k)) ./ sqrt (v(k))); endif cdf = reshape (cdf, r, c); endfunction