Mercurial > hg > octave-nkf
view scripts/statistics/base/qqplot.m @ 10830:b4ebfd675321
avoid static initialization disaster in dim_vector
author | Jaroslav Hajek <highegg@gmail.com> |
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date | Thu, 29 Jul 2010 08:47:26 +0200 |
parents | 95c3e38098bf |
children | e151e23f73bc |
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## Copyright (C) 1995, 1996, 1997, 1998, 2000, 2001, 2002, 2003, 2005, ## 2006, 2007 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} {[@var{q}, @var{s}] =} qqplot (@var{x}, @var{dist}, @var{params}) ## Perform a QQ-plot (quantile plot). ## ## If F is the CDF of the distribution @var{dist} with parameters ## @var{params} and G its inverse, and @var{x} a sample vector of length ## @var{n}, the QQ-plot graphs ordinate @var{s}(@var{i}) = @var{i}-th ## largest element of x versus abscissa @var{q}(@var{i}f) = G((@var{i} - ## 0.5)/@var{n}). ## ## If the sample comes from F except for a transformation of location ## and scale, 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 quantile plot of the uniform ## distribution on [2,4] and @var{x}, use ## ## @example ## qqplot (x, "uniform", 2, 4) ## @end example ## ## @noindent ## @var{dist} can be any string for which a function @var{dist_inv} ## that calculates the inverse CDF of distribution @var{dist} exists. ## ## If no output arguments are given, the data are plotted directly. ## @end deftypefn ## Author: KH <Kurt.Hornik@wu-wien.ac.at> ## Description: Perform a QQ-plot (quantile plot) function [q, s] = qqplot (x, dist, varargin) if (nargin < 1) print_usage (); endif if (! (isvector(x))) error ("qqplot: x must be a vector"); endif s = sort (x); n = length (x); t = ((1 : n)' - .5) / n; if (nargin == 1) f = @stdnormal_inv; else f = str2func (sprintf ("%s_inv", dist)); endif; if (nargin <= 2) q = feval (f, t); q_label = func2str (f); else q = feval (f, t, varargin{:}); if (nargin > 3) tmp = sprintf (", %g", varargin{2:end}); else tmp = ""; endif q_label = sprintf ("%s with parameter(s) %g%s", func2str (f), varargin{1}, tmp); endif if (nargout == 0) plot (q, s); xlabel (q_label); ylabel ("sample points"); endif endfunction