view scripts/statistics/distributions/unifpdf.m @ 13171:19b9f17d22af

Overhaul of statistical distribution functions Support class "single" 75% reduction in memory usage More Matlab compatibility for corner cases * betacdf.m, betainv.m, betapdf.m, betarnd.m, binocdf.m, binoinv.m, binopdf.m, binornd.m, cauchy_cdf.m, cauchy_inv.m, cauchy_pdf.m, cauchy_rnd.m, chi2cdf.m, chi2inv.m, chi2pdf.m, chi2rnd.m, discrete_cdf.m, discrete_inv.m, discrete_pdf.m, discrete_rnd.m, empirical_cdf.m, empirical_inv.m, empirical_pdf.m, empirical_rnd.m, expcdf.m, expinv.m, exppdf.m, exprnd.m, fcdf.m, finv.m, fpdf.m, frnd.m, gamcdf.m, gaminv.m, gampdf.m, gamrnd.m, geocdf.m, geoinv.m, geopdf.m, geornd.m, hygecdf.m, hygeinv.m, hygepdf.m, hygernd.m, kolmogorov_smirnov_cdf.m, laplace_cdf.m, laplace_inv.m, laplace_pdf.m, laplace_rnd.m, logistic_cdf.m, logistic_inv.m, logistic_pdf.m, logistic_rnd.m, logncdf.m, logninv.m, lognpdf.m, lognrnd.m, nbincdf.m, nbininv.m, nbinpdf.m, nbinrnd.m, normcdf.m, norminv.m, normpdf.m, normrnd.m, poisscdf.m, poissinv.m, poisspdf.m, poissrnd.m, stdnormal_cdf.m, stdnormal_inv.m, stdnormal_pdf.m, stdnormal_rnd.m, tcdf.m, tinv.m, tpdf.m, trnd.m, unidcdf.m, unidinv.m, unidpdf.m, unidrnd.m, unifcdf.m, unifinv.m, unifpdf.m, unifrnd.m, wblcdf.m, wblinv.m, wblpdf.m, wblrnd.m: Return "single" outputs for "single" inputs, Use logical indexing rather than find() for 75% memory savings, Add tests for all functions, Use consistent documentation across all functions, More Matlab compatibilitcy for corner cases.
author Rik <octave@nomad.inbox5.com>
date Tue, 20 Sep 2011 12:13:13 -0700
parents e09860581a7c
children 72c96de7a403
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## Copyright (C) 2011 Rik Wehbring
## Copyright (C) 1995-2011 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} {} unifpdf (@var{x})
## @deftypefnx {Function File} {} unifpdf (@var{x}, @var{a}, @var{b})
## For each element of @var{x}, compute the probability density function (PDF)
## at @var{x} of the uniform distribution on the interval [@var{a}, @var{b}].
##
## Default values are @var{a} = 0, @var{b} = 1.
## @end deftypefn

## Author: KH <Kurt.Hornik@wu-wien.ac.at>
## Description: PDF of the uniform distribution

function pdf = unifpdf (x, a = 0, b = 1)

  if (nargin != 1 && nargin != 3)
    print_usage ();
  endif

  if (!isscalar (a) || !isscalar (b))
    [retval, x, a, b] = common_size (x, a, b);
    if (retval > 0)
      error ("unifpdf: X, A, and B must be of common size or scalars");
    endif
  endif

  if (iscomplex (x) || iscomplex (a) || iscomplex (b))
    error ("unifpdf: X, A, and B must not be complex");
  endif

  if (isa (x, "single") || isa (a, "single") || isa (b, "single"))
    pdf = zeros (size (x), "single");
  else
    pdf = zeros (size (x));
  endif

  k = isnan (x) | !(a < b);
  pdf(k) = NaN;

  k = (x >= a) & (x <= b) & (a < b);
  if (isscalar (a) && isscalar (b))
    pdf(k) = 1 / (b - a);
  else
    pdf(k) = 1 ./ (b(k) - a(k));
  endif

endfunction


%!shared x,y
%! x = [-1 0 0.5 1 2] + 1;
%! y = [0 1 1 1 0];
%!assert(unifpdf (x, ones(1,5), 2*ones(1,5)), y);
%!assert(unifpdf (x, 1, 2*ones(1,5)), y);
%!assert(unifpdf (x, ones(1,5), 2), y);
%!assert(unifpdf (x, [2 NaN 1 1 1], 2), [NaN NaN y(3:5)]);
%!assert(unifpdf (x, 1, 2*[0 NaN 1 1 1]), [NaN NaN y(3:5)]);
%!assert(unifpdf ([x, NaN], 1, 2), [y, NaN]);

%% Test class of input preserved
%!assert(unifpdf (single([x, NaN]), 1, 2), single([y, NaN]));
%!assert(unifpdf (single([x, NaN]), single(1), 2), single([y, NaN]));
%!assert(unifpdf ([x, NaN], 1, single(2)), single([y, NaN]));

%% Test input validation
%!error unifpdf ()
%!error unifpdf (1,2)
%!error unifpdf (1,2,3,4)
%!error unifpdf (ones(3),ones(2),ones(2))
%!error unifpdf (ones(2),ones(3),ones(2))
%!error unifpdf (ones(2),ones(2),ones(3))
%!error unifpdf (i, 2, 2)
%!error unifpdf (2, i, 2)
%!error unifpdf (2, 2, i)