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📄 qqplot.m

📁 similer program for matlab
💻 M
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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");  endifendfunction

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