Mercurial > octave
annotate scripts/statistics/tests/t_test.m @ 21634:96518f623c91
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author | Mike Miller <mtmiller@octave.org> |
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date | Wed, 20 Apr 2016 11:06:03 -0700 |
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1 ## Copyright (C) 1995-2015 Kurt Hornik |
3426 | 2 ## |
3922 | 3 ## This file is part of Octave. |
4 ## | |
5 ## Octave is free software; you can redistribute it and/or modify it | |
6 ## under the terms of the GNU General Public License as published by | |
7016 | 7 ## the Free Software Foundation; either version 3 of the License, or (at |
8 ## your option) any later version. | |
3426 | 9 ## |
3922 | 10 ## Octave is distributed in the hope that it will be useful, but |
3200 | 11 ## WITHOUT ANY WARRANTY; without even the implied warranty of |
12 ## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU | |
3426 | 13 ## General Public License for more details. |
14 ## | |
3200 | 15 ## You should have received a copy of the GNU General Public License |
7016 | 16 ## along with Octave; see the file COPYING. If not, see |
17 ## <http://www.gnu.org/licenses/>. | |
3200 | 18 |
3454 | 19 ## -*- texinfo -*- |
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20 ## @deftypefn {} {[@var{pval}, @var{t}, @var{df}] =} t_test (@var{x}, @var{m}, @var{alt}) |
3454 | 21 ## For a sample @var{x} from a normal distribution with unknown mean and |
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22 ## variance, perform a t-test of the null hypothesis |
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23 ## @code{mean (@var{x}) == @var{m}}. |
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24 ## |
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25 ## Under the null, the test statistic @var{t} follows a Student distribution |
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26 ## with @code{@var{df} = length (@var{x}) - 1} degrees of freedom. |
3200 | 27 ## |
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28 ## With the optional argument string @var{alt}, the alternative of interest |
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29 ## can be selected. If @var{alt} is @qcode{"!="} or @qcode{"<>"}, the null |
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30 ## is tested against the two-sided alternative @code{mean (@var{x}) != |
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31 ## @var{m}}. If @var{alt} is @qcode{">"}, the one-sided alternative |
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32 ## @code{mean (@var{x}) > @var{m}} is considered. Similarly for @var{"<"}, |
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33 ## the one-sided alternative @code{mean (@var{x}) < @var{m}} is considered. |
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34 ## The default is the two-sided case. |
3200 | 35 ## |
3454 | 36 ## The p-value of the test is returned in @var{pval}. |
3426 | 37 ## |
3200 | 38 ## If no output argument is given, the p-value of the test is displayed. |
3454 | 39 ## @end deftypefn |
3426 | 40 |
5428 | 41 ## Author: KH <Kurt.Hornik@wu-wien.ac.at> |
3456 | 42 ## Description: Student's one-sample t test |
3200 | 43 |
44 function [pval, t, df] = t_test (x, m, alt) | |
3426 | 45 |
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46 if (nargin < 2 || nargin > 3) |
6046 | 47 print_usage (); |
3200 | 48 endif |
3426 | 49 |
4030 | 50 if (! isvector (x)) |
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51 error ("t_test: X must be a vector"); |
3200 | 52 endif |
4030 | 53 if (! isscalar (m)) |
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54 error ("t_test: M must be a scalar"); |
3200 | 55 endif |
3426 | 56 |
3200 | 57 n = length (x); |
58 df = n - 1; | |
59 t = sqrt (n) * (sum (x) / n - m) / std (x); | |
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60 cdf = tcdf (t, df); |
3426 | 61 |
3200 | 62 if (nargin == 2) |
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63 alt = "!="; |
3200 | 64 endif |
65 | |
5443 | 66 if (! ischar (alt)) |
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67 error ("t_test: ALT must be a string"); |
3200 | 68 endif |
69 if (strcmp (alt, "!=") || strcmp (alt, "<>")) | |
70 pval = 2 * min (cdf, 1 - cdf); | |
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71 elseif (strcmp (alt, ">")) |
3200 | 72 pval = 1 - cdf; |
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73 elseif (strcmp (alt, "<")) |
3200 | 74 pval = cdf; |
75 else | |
3456 | 76 error ("t_test: option %s not recognized", alt); |
3200 | 77 endif |
78 | |
79 if (nargout == 0) | |
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80 printf (" pval: %g\n", pval); |
3200 | 81 endif |
3426 | 82 |
3200 | 83 endfunction |
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84 |
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85 |
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86 %!test |
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87 %! ## Two-sided (also the default option) |
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88 %! x = rand (10,1); n = length (x); |
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89 %! u0 = 0.5; # true mean |
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90 %! xbar = mean (x); |
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91 %! pval = t_test (x, u0, "!="); |
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92 %! if (xbar >= u0) |
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93 %! tval = abs (tinv (0.5*pval, n-1)); |
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94 %! else |
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95 %! tval = -abs (tinv (0.5*pval, n-1)); |
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96 %! endif |
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97 %! unew = tval * std(x)/sqrt(n) + u0; |
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98 %! assert (xbar, unew, 100*eps); |
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99 |
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100 %!test |
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101 %! x = rand (10,1); n = length (x); |
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102 %! u0 = 0.5; |
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103 %! pval = t_test (x, u0, ">"); |
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104 %! tval = tinv (1-pval, n-1); |
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105 %! unew = tval * std(x)/sqrt(n) + u0; |
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106 %! assert (mean (x), unew, 100*eps); |
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107 |
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108 %!test |
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109 %! x = rand (10,1); n = length (x); |
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110 %! u0 = 0.5; |
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111 %! pval = t_test (x, u0, "<"); |
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112 %! tval = tinv (pval, n-1); |
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113 %! unew = tval * std(x)/sqrt(n) + u0; |
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114 %! assert (mean (x), unew, 100*eps); |
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115 |