1 | // $Id: tScore.cc 526 2006-03-01 08:49:48Z markus $ |
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2 | |
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3 | // System includes |
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4 | #include <cassert> |
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5 | #include <cmath> |
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6 | |
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7 | // Thep C++ Tools |
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8 | #include <c++_tools/statistics/tScore.h> |
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9 | #include <c++_tools/statistics/Averager.h> |
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10 | #include <c++_tools/statistics/AveragerWeighted.h> |
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11 | #include <c++_tools/classifier/Target.h> |
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12 | |
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13 | namespace theplu { |
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14 | namespace statistics { |
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15 | |
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16 | tScore::tScore(bool b) |
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17 | : Score(b), t_(0) |
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18 | { |
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19 | } |
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20 | |
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21 | double tScore::score(const classifier::Target& target, |
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22 | const gslapi::vector& value) |
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23 | { |
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24 | weighted_=false; |
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25 | statistics::Averager positive; |
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26 | statistics::Averager negative; |
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27 | dof_=target.size()-2; |
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28 | for(size_t i=0; i<target.size(); i++){ |
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29 | if (target.binary(i)) |
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30 | positive.add(value(i)); |
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31 | else |
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32 | negative.add(value(i)); |
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33 | } |
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34 | double diff = positive.mean() - negative.mean(); |
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35 | double s2=(positive.sum_xx_centered()+negative.sum_xx_centered())/ |
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36 | (positive.n()+negative.n()-2); |
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37 | t_=diff/sqrt(s2*(1.0/positive.n()+1.0/negative.n())); |
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38 | if (t_<0 && absolute_) |
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39 | t_=-t_; |
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40 | |
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41 | return t_; |
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42 | } |
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43 | |
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44 | double tScore::score(const classifier::Target& target, |
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45 | const gslapi::vector& value, |
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46 | const gslapi::vector& weight) |
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47 | { |
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48 | weighted_=true; |
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49 | |
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50 | statistics::AveragerWeighted positive; |
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51 | statistics::AveragerWeighted negative; |
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52 | dof_=target.size()-2; |
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53 | for(size_t i=0; i<target.size(); i++){ |
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54 | if (target.binary(i)) |
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55 | positive.add(value(i),weight(i)); |
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56 | else |
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57 | negative.add(value(i),weight(i)); |
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58 | } |
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59 | double diff = positive.mean() - negative.mean(); |
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60 | double s2=(positive.sum_xx_centered()+negative.sum_xx_centered())/ |
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61 | (positive.n()+negative.n()-2); |
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62 | t_=diff/sqrt(s2*(1.0/positive.sum_w()+1.0/negative.sum_w())); |
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63 | if (t_<0 && absolute_) |
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64 | t_=-t_; |
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65 | |
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66 | return t_; |
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67 | } |
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68 | |
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69 | double tScore::p_value(void) const |
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70 | { |
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71 | double p = gsl_cdf_tdist_Q(t_, dof_); |
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72 | return (dof_ > 0 && !weighted_) ? p : 1; |
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73 | } |
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74 | |
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75 | |
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76 | |
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77 | }} // of namespace statistics and namespace theplu |
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