annotate scripts/statistics/tests/cor_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
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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 {} {} cor_test (@var{x}, @var{y}, @var{alt}, @var{method})
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21 ## Test whether two samples @var{x} and @var{y} come from uncorrelated
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22 ## populations.
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23 ##
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24 ## The optional argument string @var{alt} describes the alternative
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25 ## hypothesis, and can be @qcode{"!="} or @qcode{"<>"} (nonzero), @qcode{">"}
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26 ## (greater than 0), or @qcode{"<"} (less than 0). The default is the
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27 ## two-sided case.
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28 ##
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29 ## The optional argument string @var{method} specifies which correlation
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30 ## coefficient to use for testing. If @var{method} is @qcode{"pearson"}
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31 ## (default), the (usual) Pearson's product moment correlation coefficient is
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32 ## used. In this case, the data should come from a bivariate normal
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33 ## distribution. Otherwise, the other two methods offer nonparametric
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34 ## alternatives. If @var{method} is @qcode{"kendall"}, then Kendall's rank
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35 ## correlation tau is used. If @var{method} is @qcode{"spearman"}, then
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36 ## Spearman's rank correlation rho is used. Only the first character is
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37 ## necessary.
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38 ##
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39 ## The output is a structure with the following elements:
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40 ##
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41 ## @table @var
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42 ## @item pval
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43 ## The p-value of the test.
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44 ##
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45 ## @item stat
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46 ## The value of the test statistic.
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47 ##
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48 ## @item dist
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49 ## The distribution of the test statistic.
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50 ##
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51 ## @item params
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52 ## The parameters of the null distribution of the test statistic.
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53 ##
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54 ## @item alternative
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55 ## The alternative hypothesis.
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56 ##
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57 ## @item method
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58 ## The method used for testing.
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59 ## @end table
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60 ##
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61 ## If no output argument is given, the p-value is displayed.
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62 ## @end deftypefn
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63
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64 ## Author: FL <Friedrich.Leisch@ci.tuwien.ac.at>
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65 ## Adapted-by: KH <Kurt.Hornik@wu-wien.ac.at>
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66 ## Description: Test for zero correlation
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67
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68 function t = cor_test (x, y, alt, method)
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69
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70 if (nargin < 2 || nargin > 4)
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71 print_usage ();
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72 endif
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73
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74 if (! isvector (x) || ! isvector (y) || length (x) != length (y))
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75 error ("cor_test: X and Y must be vectors of the same length");
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76 endif
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77
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78 if (nargin < 3)
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79 alt = "!=";
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80 elseif (! ischar (alt))
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81 error ("cor_test: ALT must be a string");
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82 endif
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83
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84 if (nargin < 4)
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85 method = "pearson";
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86 elseif (! ischar (method))
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87 error ("cor_test: METHOD must be a string");
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88 endif
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89
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90 n = length (x);
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91 m = method(1);
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92
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93 if (m == "p")
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94 r = corr (x, y);
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95 df = n - 2;
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96 t.method = "Pearson's product moment correlation";
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97 t.params = df;
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98 t.stat = sqrt (df) .* r / sqrt (1 - r.^2);
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99 t.dist = "t";
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100 cdf = tcdf (t.stat, df);
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101 elseif (m == "k")
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102 tau = kendall (x, y);
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103 t.method = "Kendall's rank correlation tau";
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104 t.params = [];
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105 t.stat = tau / sqrt ((2 * (2*n+5)) / (9*n*(n-1)));
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106 t.dist = "stdnormal";
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107 cdf = stdnormal_cdf (t.stat);
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108 elseif (m == "s")
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109 rho = spearman (x, y);
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110 t.method = "Spearman's rank correlation rho";
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111 t.params = [];
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112 t.stat = sqrt (n-1) * (rho - 6/(n^3-n));
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113 t.dist = "stdnormal";
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114 cdf = stdnormal_cdf (t.stat);
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115 else
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116 error ("cor_test: METHOD '%s' not recognized", method);
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117 endif
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118
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119 if (strcmp (alt, "!=") || strcmp (alt, "<>"))
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120 t.pval = 2 * min (cdf, 1 - cdf);
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121 elseif (strcmp (alt, ">"))
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122 t.pval = 1 - cdf;
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123 elseif (strcmp (alt, "<"))
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124 t.pval = cdf;
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125 else
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126 error ("cor_test: alternative '%s' not recognized", alt);
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127 endif
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128
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129 t.alternative = alt;
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130
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131 if (nargout == 0)
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132 printf ("pval: %g\n", t.pval);
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133 endif
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134
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135 endfunction
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136