X-Git-Url: https://git.creatis.insa-lyon.fr/pubgit/?a=blobdiff_plain;ds=sidebyside;f=octave_packages%2Fm%2Fstatistics%2Fbase%2Fppplot.m;fp=octave_packages%2Fm%2Fstatistics%2Fbase%2Fppplot.m;h=7f8788e352b95b14b3f4d43c98da1d84598bc09b;hb=1c0469ada9531828709108a4882a751d2816994a;hp=0000000000000000000000000000000000000000;hpb=63de9f36673d49121015e3695f2c336ea92bc278;p=CreaPhase.git diff --git a/octave_packages/m/statistics/base/ppplot.m b/octave_packages/m/statistics/base/ppplot.m new file mode 100644 index 0000000..7f8788e --- /dev/null +++ b/octave_packages/m/statistics/base/ppplot.m @@ -0,0 +1,84 @@ +## 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 +## . + +## -*- texinfo -*- +## @deftypefn {Function File} {[@var{p}, @var{y}] =} ppplot (@var{x}, @var{dist}, @var{params}) +## Perform a PP-plot (probability plot). +## +## If F is the CDF of the distribution @var{dist} with parameters +## @var{params} and @var{x} a sample vector of length @var{n}, the +## PP-plot graphs ordinate @var{y}(@var{i}) = F (@var{i}-th largest +## element of @var{x}) versus abscissa @var{p}(@var{i}) = (@var{i} - +## 0.5)/@var{n}. If the sample comes from F, the pairs will +## approximately follow a straight line. +## +## The default for @var{dist} is the standard normal distribution. The +## optional argument @var{params} contains a list of parameters of +## @var{dist}. For example, for a probability plot of the uniform +## distribution on [2,4] and @var{x}, use +## +## @example +## ppplot (x, "uniform", 2, 4) +## @end example +## +## @noindent +## @var{dist} can be any string for which a function @var{dist_cdf} +## that calculates the CDF of distribution @var{dist} exists. +## +## If no output arguments are given, the data are plotted directly. +## @end deftypefn + +## Author: KH +## Description: Perform a PP-plot (probability plot) + +function [p, y] = ppplot (x, dist, varargin) + + if (nargin < 1) + print_usage (); + endif + + if (! isvector (x)) + error ("ppplot: X must be a vector"); + endif + + s = sort (x); + n = length (x); + p = ((1 : n)' - 0.5) / n; + if (nargin == 1) + F = @stdnormal_cdf; + else + F = str2func (sprintf ("%scdf", dist)); + endif; + if (nargin <= 2) + y = feval (F, s); + else + y = feval (F, s, varargin{:}); + endif + + if (nargout == 0) + plot (p, y); + axis ([0, 1, 0, 1]); + endif + +endfunction + + +%% Test input validation +%!error ppplot (); +%!error ppplot (ones(2,2)); +