1 | // $Id: OneDimensional.cc 675 2006-10-10 12:08:45Z jari $ |
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2 | |
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3 | /* |
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4 | Copyright (C) The authors contributing to this file. |
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5 | |
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6 | This file is part of the yat library, http://lev.thep.lu.se/trac/yat |
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7 | |
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8 | The yat library is free software; you can redistribute it and/or |
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9 | modify it under the terms of the GNU General Public License as |
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10 | published by the Free Software Foundation; either version 2 of the |
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11 | License, or (at your option) any later version. |
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12 | |
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13 | The yat library is distributed in the hope that it will be useful, |
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14 | but WITHOUT ANY WARRANTY; without even the implied warranty of |
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15 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU |
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16 | General Public License for more details. |
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17 | |
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18 | You should have received a copy of the GNU General Public License |
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19 | along with this program; if not, write to the Free Software |
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20 | Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA |
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21 | 02111-1307, USA. |
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22 | */ |
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23 | |
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24 | #include "yat/statistics/OneDimensional.h" |
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25 | |
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26 | namespace theplu { |
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27 | namespace statistics { |
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28 | namespace regression { |
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29 | |
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30 | std::ostream& OneDimensional::print(std::ostream& os, const double min, |
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31 | double max, const u_int n) const |
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32 | { |
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33 | double dx; |
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34 | if (n>1) |
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35 | dx=(max-min)/(n-1); |
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36 | else{ |
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37 | dx=1.0; |
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38 | max=min; |
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39 | } |
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40 | |
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41 | for ( double x=min; x<=max; x+=dx) { |
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42 | double y = predict(x); |
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43 | double y_err = prediction_error(x); |
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44 | os << x << "\t" << y << "\t" << y_err << "\n"; |
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45 | } |
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46 | return os; |
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47 | } |
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48 | |
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49 | }}} // of namespaces regression, statisitcs and thep |
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