annotate scripts/statistics/tests/t_test.m @ 21634:96518f623c91

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author Mike Miller <mtmiller@octave.org>
date Wed, 20 Apr 2016 11:06:03 -0700
parents dcf8922b724b
children bac0d6f07a3e
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1 ## Copyright (C) 1995-2015 Kurt Hornik
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2 ##
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3 ## This file is part of Octave.
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4 ##
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5 ## Octave is free software; you can redistribute it and/or modify it
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6 ## under the terms of the GNU General Public License as published by
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7 ## the Free Software Foundation; either version 3 of the License, or (at
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8 ## your option) any later version.
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9 ##
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10 ## Octave is distributed in the hope that it will be useful, but
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11 ## WITHOUT ANY WARRANTY; without even the implied warranty of
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12 ## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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13 ## General Public License for more details.
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14 ##
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15 ## You should have received a copy of the GNU General Public License
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16 ## along with Octave; see the file COPYING. If not, see
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17 ## <http://www.gnu.org/licenses/>.
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18
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19 ## -*- texinfo -*-
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20 ## @deftypefn {} {[@var{pval}, @var{t}, @var{df}] =} t_test (@var{x}, @var{m}, @var{alt})
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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.
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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.
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35 ##
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36 ## The p-value of the test is returned in @var{pval}.
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37 ##
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38 ## If no output argument is given, the p-value of the test is displayed.
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39 ## @end deftypefn
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41 ## Author: KH <Kurt.Hornik@wu-wien.ac.at>
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42 ## Description: Student's one-sample t test
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43
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44 function [pval, t, df] = t_test (x, m, alt)
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45
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46 if (nargin < 2 || nargin > 3)
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47 print_usage ();
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48 endif
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49
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50 if (! isvector (x))
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51 error ("t_test: X must be a vector");
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52 endif
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53 if (! isscalar (m))
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54 error ("t_test: M must be a scalar");
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55 endif
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56
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57 n = length (x);
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58 df = n - 1;
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59 t = sqrt (n) * (sum (x) / n - m) / std (x);
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60 cdf = tcdf (t, df);
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61
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62 if (nargin == 2)
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63 alt = "!=";
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64 endif
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66 if (! ischar (alt))
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67 error ("t_test: ALT must be a string");
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68 endif
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69 if (strcmp (alt, "!=") || strcmp (alt, "<>"))
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70 pval = 2 * min (cdf, 1 - cdf);
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71 elseif (strcmp (alt, ">"))
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72 pval = 1 - cdf;
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73 elseif (strcmp (alt, "<"))
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74 pval = cdf;
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75 else
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76 error ("t_test: option %s not recognized", alt);
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77 endif
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78
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79 if (nargout == 0)
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80 printf (" pval: %g\n", pval);
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81 endif
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82
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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