Mercurial > hg > octave-nkf
view scripts/statistics/tests/var_test.m @ 20818:9d2023d1a63c
binoinv.m: Implement binary search algorithm for 28X performance increase (bug #34363).
* binoinv.m: Call new functions scalar_binoinv or vector_binoinv to calculate
binoinv. If there are still uncalculated values then call bin_search_binoinv
to perform binary search for remaining values. Add more BIST tests.
* binoinv.m (scalar_binoinv): New subfunction to calculate binoinv for scalar x.
Stops when x > 1000.
* binoinv.m (vector_binoinv): New subfunction to calculate binoinv for scalar x.
Stops when x > 1000.
author | Lachlan Andrew <lachlanbis@gmail.com> |
---|---|
date | Sun, 11 Oct 2015 19:49:40 -0700 |
parents | d9341b422488 |
children |
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## Copyright (C) 1995-2015 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{pval}, @var{f}, @var{df_num}, @var{df_den}] =} var_test (@var{x}, @var{y}, @var{alt}) ## For two samples @var{x} and @var{y} from normal distributions with ## unknown means and unknown variances, perform an F-test of the null ## hypothesis of equal variances. ## ## Under the null, the test statistic @var{f} follows an F-distribution with ## @var{df_num} and @var{df_den} degrees of freedom. ## ## With the optional argument string @var{alt}, the alternative of interest ## can be selected. If @var{alt} is @qcode{"!="} or @qcode{"<>"}, the null ## is tested against the two-sided alternative @code{var (@var{x}) != var ## (@var{y})}. If @var{alt} is @qcode{">"}, the one-sided alternative ## @code{var (@var{x}) > var (@var{y})} is used. Similarly for "<", the ## one-sided alternative @code{var (@var{x}) > var (@var{y})} is used. The ## default is the two-sided case. ## ## The p-value of the test is returned in @var{pval}. ## ## If no output argument is given, the p-value of the test is displayed. ## @end deftypefn ## Author: KH <Kurt.Hornik@wu-wien.ac.at> ## Description: F test to compare two variances function [pval, f, df_num, df_den] = var_test (x, y, alt) if (nargin < 2 || nargin > 3) print_usage (); endif if (! (isvector (x) && isvector (y))) error ("var_test: both X and Y must be vectors"); endif df_num = length (x) - 1; df_den = length (y) - 1; f = var (x) / var (y); cdf = fcdf (f, df_num, df_den); if (nargin == 2) alt = "!="; endif if (! ischar (alt)) error ("var_test: ALT must be a string"); endif if (strcmp (alt, "!=") || strcmp (alt, "<>")) pval = 2 * min (cdf, 1 - cdf); elseif (strcmp (alt, ">")) pval = 1 - cdf; elseif (strcmp (alt, "<")) pval = cdf; else error ("var_test: option %s not recognized", alt); endif if (nargout == 0) printf ("pval: %g\n", pval); endif endfunction