Mercurial > hg > octave-lyh
view scripts/statistics/distributions/cauchy_cdf.m @ 8164:0d37c99fc06f
__go_draw_axes__.m: eliminate have_newer_gnuplot variable
author | John W. Eaton <jwe@octave.org> |
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date | Mon, 29 Sep 2008 20:25:42 -0400 |
parents | a1dbe9d80eee |
children | 3306cfcb856e |
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## Copyright (C) 1995, 1996, 1997, 1998, 2000, 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} {} cauchy_cdf (@var{x}, @var{lambda}, @var{sigma}) ## For each element of @var{x}, compute the cumulative distribution ## function (CDF) at @var{x} of the Cauchy distribution with location ## parameter @var{lambda} and scale parameter @var{sigma}. Default ## values are @var{lambda} = 0, @var{sigma} = 1. ## @end deftypefn ## Author: KH <Kurt.Hornik@wu-wien.ac.at> ## Description: CDF of the Cauchy distribution function cdf = cauchy_cdf (x, location, scale) if (! (nargin == 1 || nargin == 3)) print_usage (); endif if (nargin == 1) location = 0; scale = 1; endif if (!isscalar (location) || !isscalar (scale)) [retval, x, location, scale] = common_size (x, location, scale); if (retval > 0) error ("cauchy_cdf: x, lambda and sigma must be of common size or scalar"); endif endif sz = size (x); cdf = NaN * ones (sz); k = find ((x > -Inf) & (x < Inf) & (location > -Inf) & (location < Inf) & (scale > 0) & (scale < Inf)); if (any (k)) if (isscalar (location) && isscalar (scale)) cdf(k) = 0.5 + atan ((x(k) - location) ./ scale) / pi; else cdf(k) = 0.5 + atan ((x(k) - location(k)) ./ scale(k)) / pi; endif endif endfunction