| 1 | #ifndef theplu_yat_statistics_pearson_distance_h |
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| 2 | #define theplu_yat_statistics_pearson_distance_h |
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| 3 | |
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| 4 | // $Id: PearsonDistance.h 1069 2008-02-11 21:57:24Z markus $ |
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| 5 | |
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| 6 | /* |
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| 7 | Copyright (C) 2007 Peter Johansson, Markus Ringnér |
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| 8 | Copyright (C) 2008 Peter Johansson |
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| 9 | |
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| 10 | This file is part of the yat library, http://trac.thep.lu.se/yat |
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| 11 | |
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| 12 | The yat library is free software; you can redistribute it and/or |
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| 13 | modify it under the terms of the GNU General Public License as |
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| 14 | published by the Free Software Foundation; either version 2 of the |
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| 15 | License, or (at your option) any later version. |
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| 16 | |
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| 17 | The yat library is distributed in the hope that it will be useful, |
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| 18 | but WITHOUT ANY WARRANTY; without even the implied warranty of |
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| 19 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU |
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| 20 | General Public License for more details. |
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| 21 | |
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| 22 | You should have received a copy of the GNU General Public License |
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| 23 | along with this program; if not, write to the Free Software |
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| 24 | Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA |
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| 25 | 02111-1307, USA. |
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| 26 | */ |
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| 27 | |
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| 28 | #include "AveragerPair.h" |
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| 29 | #include "AveragerPairWeighted.h" |
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| 30 | #include "yat/utility/iterator_traits.h" |
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| 31 | |
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| 32 | namespace theplu { |
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| 33 | namespace yat { |
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| 34 | namespace statistics { |
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| 35 | |
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| 36 | /// |
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| 37 | /// @brief Calculates the Pearson correlation distance between two points stored in 1-dimensional containers. Implements the concept \ref concept_distance. |
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| 38 | /// |
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| 39 | /// |
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| 40 | struct PearsonDistance |
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| 41 | { |
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| 42 | /// |
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| 43 | /// @brief Calculates the Pearson correlation distance between two ranges. |
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| 44 | /// |
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| 45 | template <typename Iter1, typename Iter2> |
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| 46 | double operator() |
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| 47 | (Iter1 beg1,Iter1 end1, Iter2 beg2) const |
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| 48 | { |
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| 49 | return this->distance(beg1, end1, beg2, |
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| 50 | typename utility::weighted_if_any2<Iter1,Iter2>::type()); |
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| 51 | } |
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| 52 | |
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| 53 | private: |
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| 54 | template <typename Iter1, typename Iter2> |
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| 55 | double distance (Iter1 beg1,Iter1 end1, Iter2 beg2, |
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| 56 | utility::unweighted_type) const |
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| 57 | { |
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| 58 | AveragerPairWeighted ap; |
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| 59 | add(ap,beg1,end1,beg2); |
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| 60 | return 1-ap.correlation(); |
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| 61 | } |
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| 62 | |
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| 63 | template <typename Iter1, typename Iter2> |
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| 64 | double distance (Iter1 beg1,Iter1 end1, Iter2 beg2, |
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| 65 | utility::weighted_type) const |
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| 66 | { |
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| 67 | AveragerPairWeighted ap; |
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| 68 | add(ap,beg1,end1,beg2); |
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| 69 | return 1-ap.correlation(); |
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| 70 | } |
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| 71 | |
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| 72 | }; |
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| 73 | |
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| 74 | }}} // of namespace statistics, yat, and theplu |
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| 75 | |
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| 76 | #endif |
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