Mercurial > octave
view scripts/statistics/empirical_pdf.m @ 31248:8b75954a4670
delaunayn: adjust node ordering for positive outward normal vectors (bug #53397)
* delaunayn.m: Check sign of simplex volume, flip node order for negative
volumes to ensure positive (outward-pointing) normal vectors. Add BISTs to
check for positive volumes.
* etc/News.8.md: Append function improvement note to delaunayn change
paragraph under General Improvements.
author | Nicholas R. Jankowski <jankowski.nicholas@gmail.com> |
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date | Thu, 29 Sep 2022 23:09:05 -0400 |
parents | 5d3faba0342e |
children | 597f3ee61a48 |
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######################################################################## ## ## Copyright (C) 1996-2022 The Octave Project Developers ## ## See the file COPYRIGHT.md in the top-level directory of this ## distribution or <https://octave.org/copyright/>. ## ## 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 ## <https://www.gnu.org/licenses/>. ## ######################################################################## ## -*- texinfo -*- ## @deftypefn {} {@var{pdf} =} empirical_pdf (@var{x}, @var{data}) ## For each element of @var{x}, compute the probability density function (PDF) ## at @var{x} of the empirical distribution obtained from the ## univariate sample @var{data}. ## @end deftypefn function pdf = empirical_pdf (x, data) if (nargin != 2) print_usage (); endif if (! isvector (data)) error ("empirical_pdf: DATA must be a vector"); endif uniq_vals = unique (data); if (numel (data) != numel (uniq_vals)) ## Handle ties, multiple elements with same value p = histc (data, uniq_vals); data = uniq_vals; else p = ones (size (data)); endif pdf = discrete_pdf (x, data, p); endfunction %!shared x,v,y %! x = [-1 0.1 1.1 1.9 3]; %! v = 0.1:0.2:1.9; %! y = [0 0.1 0.1 0.1 0]; %!assert (empirical_pdf (x, v), y) ## Test class of input preserved %!assert (empirical_pdf (single (x), v), single (y)) %!assert (empirical_pdf (x, single (v)), single (y)) ## Test distribution with ties %!assert (empirical_pdf (2, [1 2 3 2]), 0.5) ## Test input validation %!error <Invalid call> empirical_pdf () %!error <Invalid call> empirical_pdf (1) %!error empirical_inv (1, ones (2))