Mercurial > hg > octave-thorsten
view scripts/statistics/distributions/poisspdf.m @ 14817:8d3ab19f8599
Fix logncdf tests to use more accurate expected result.
* scripts/statistics/distributions/logncdf.m: use erf(1/sqrt(2)*1/sqrt(2))
instead of erf(1/2) to avoid floating point errors that are below eps
(alternate solution would be to add tolerance to the tests).
author | Michael Goffioul <michael.goffioul@gmail.com> |
---|---|
date | Tue, 12 Jun 2012 19:50:13 +0100 |
parents | f3d52523cde1 |
children |
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## Copyright (C) 2012 Rik Wehbring ## Copyright (C) 1995-2012 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} {} poisspdf (@var{x}, @var{lambda}) ## For each element of @var{x}, compute the probability density function ## (PDF) at @var{x} of the Poisson distribution with parameter @var{lambda}. ## @end deftypefn ## Author: KH <Kurt.Hornik@wu-wien.ac.at> ## Description: PDF of the Poisson distribution function pdf = poisspdf (x, lambda) if (nargin != 2) print_usage (); endif if (!isscalar (lambda)) [retval, x, lambda] = common_size (x, lambda); if (retval > 0) error ("poisspdf: X and LAMBDA must be of common size or scalars"); endif endif if (iscomplex (x) || iscomplex (lambda)) error ("poisspdf: X and LAMBDA must not be complex"); endif if (isa (x, "single") || isa (lambda, "single")) pdf = zeros (size (x), "single"); else pdf = zeros (size (x)); endif k = isnan (x) | !(lambda > 0); pdf(k) = NaN; k = (x >= 0) & (x < Inf) & (x == fix (x)) & (lambda > 0); if (isscalar (lambda)) pdf(k) = exp (x(k) * log (lambda) - lambda - gammaln (x(k) + 1)); else pdf(k) = exp (x(k) .* log (lambda(k)) - lambda(k) - gammaln (x(k) + 1)); endif endfunction %!shared x,y %! x = [-1 0 1 2 Inf]; %! y = [0, exp(-1)*[1 1 0.5], 0]; %!assert (poisspdf (x, ones (1,5)), y, eps) %!assert (poisspdf (x, 1), y, eps) %!assert (poisspdf (x, [1 0 NaN 1 1]), [y(1) NaN NaN y(4:5)], eps) %!assert (poisspdf ([x, NaN], 1), [y, NaN], eps) %% Test class of input preserved %!assert (poisspdf (single ([x, NaN]), 1), single ([y, NaN]), eps ("single")) %!assert (poisspdf ([x, NaN], single (1)), single ([y, NaN]), eps ("single")) %% Test input validation %!error poisspdf () %!error poisspdf (1) %!error poisspdf (1,2,3) %!error poisspdf (ones (3), ones (2)) %!error poisspdf (ones (2), ones (3)) %!error poisspdf (i, 2) %!error poisspdf (2, i)