Mercurial > hg > octave-lyh
view scripts/statistics/base/ppplot.m @ 5069:b9dae14b5ada
[project @ 2004-11-05 16:18:11 by jwe]
author | jwe |
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date | Fri, 05 Nov 2004 16:18:12 +0000 |
parents | 05415e529cef |
children | 32c569794216 |
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## Copyright (C) 1995, 1996, 1997 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 2, 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, write to the Free ## Software Foundation, 59 Temple Place - Suite 330, Boston, MA ## 02111-1307, USA. ## -*- 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 ## ## If no output arguments are given, the data are plotted directly. ## @end deftypefn ## Author: KH <Kurt.Hornik@ci.tuwien.ac.at> ## Description: Perform a PP-plot (probability plot) function [p, y] = ppplot (x, dist, varargin) if (nargin < 1) usage ("ppplot (x, dist, params)"); 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 ("%s_cdf", dist)); endif; if (nargin <= 2) y = feval (F, s); else y = feval (F, s, varargin{:}); endif if (nargout == 0) axis ([0, 1, 0, 1]); gset nokey; plot (p, y); endif endfunction