Mercurial > hg > ltpda

annotate m-toolbox/test/test_ao_linfit.m @ 27:29276498ebdb database-connection-manager

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Remove LTPDARepositoryManager implementation * * * Remove GUI helper
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Mon, 05 Dec 2011 16:20:06 +0100
parents f0afece42f48
children
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0
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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1 % TEST_AO_LINFIT tests the linfit method of the AO class.
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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2 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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3 % M Hueller 02-03-10
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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4 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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5 % $Id: test_ao_linfit.m,v 1.6 2011/05/15 22:52:57 mauro Exp $
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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6 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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7 % function test_ao_linfit()
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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8
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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9
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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10 %% Make fake AO from polyval
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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11 nsecs = 100;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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12 fs = 10;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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13
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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14 unit_list = unit.supportedUnits;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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15 u1 = unit(cell2mat(utils.math.randelement(unit_list,1)));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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16 u2 = unit(cell2mat(utils.math.randelement(unit_list,1)));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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17
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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18 pl1 = plist('nsecs', nsecs, 'fs', fs, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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19 'tsfcn', 'polyval([10 1], t) + randn(size(t))', ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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20 'xunits', 's', 'yunits', u1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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21
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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22 pl2 = plist('nsecs', nsecs, 'fs', fs, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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23 'tsfcn', 'polyval([-5 0.2], t) + randn(size(t))', ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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24 'xunits', 's', 'yunits', u2);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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25
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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26 a1 = ao(pl1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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27 a2 = ao(pl2);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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28 a = scatterData(a1, a2);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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29
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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30 %% Fit with a straight line
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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31
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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32 p11 = linfit(a1, plist(...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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33 ));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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34 p12 = linfit(a1, plist(...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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35 'dy', 0.1));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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36 p22 = linfit(a1, plist(...
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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37 'dx', 0.1, 'dy', 0.1, 'P0', [0 0]));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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38 p13 = linfit(a1, plist(...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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39 'dy', 0.1*ones(size(a1.y))));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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40 p23 = linfit(a1, plist(...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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41 'dx', 0.1*ones(size(a1.x)), 'dy', 0.1*ones(size(a1.y)), 'P0', [0 0]));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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42 p14 = linfit(a1, plist(...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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43 'dy', ao(0.1, plist('yunits', a1.yunits))));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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44 p24 = linfit(a1, plist(...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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45 'dx', ao(0.1, plist(...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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46 'yunits', a1.xunits)), 'dy', ao(0.1, plist('yunits', a1.yunits)), 'P0', [0 0]));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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47 p15 = linfit(a1, plist(...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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48 'dy', ao(0.1*ones(size(a1.y)), plist('yunits', a1.yunits))));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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49 p25 = linfit(a1, plist(...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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50 'dx', ao(0.1*ones(size(a1.x)), plist('yunits', a1.xunits)), 'dy', ao(0.1*ones(size(a1.y)), plist('yunits', a1.yunits)), 'P0', [0 0]));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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51 p26 = linfit(a1, plist(...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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52 'dx', 0.1, 'dy', 0.1, 'P0', ao([0 0])));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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53 p27 = linfit(a1, plist(...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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54 'dx', 0.1, 'dy', 0.1, 'P0', p11));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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55
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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56 %% Compute fit: evaluating pest
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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57
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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58 b11 = p11.eval(plist('type', 'tsdata', 'XData', a1, 'xfield', 'x'));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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59 b12 = p12.eval(plist('XData', a1, 'xfield', 'x'));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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60 b22 = p22.eval(a1, plist('xfield', 'x'));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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61 b13 = p13.eval(plist('XData', a1, 'xfield', 'x'));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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62 b23 = p23.eval(a1, plist('type', 'tsdata', 'xfield', 'x'));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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63 b14 = p14.eval(plist('XData', a1, 'xfield', 'x'));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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64 b24 = p24.eval(a1, plist('type', 'tsdata', 'xfield', 'x'));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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65 b15 = p15.eval(a1, plist('xfield', 'x'));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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66 b25 = p25.eval(plist('XData', a1, 'xfield', 'x'));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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67 b26 = p26.eval(plist('type', 'tsdata', 'XData', a1.x));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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68 b27 = p27.eval(plist('type', 'tsdata', 'XData', a1.x));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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69
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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70 %% Plot fit
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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71 iplot(a1, b11, b12, b13, b14, b15, b26, b27, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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72 b22, b23, b24, b25, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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73 plist('LineStyles', {'', '--'}));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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74
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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75 %% Remove linear trend
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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76 c = a1-b11;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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77 iplot(c)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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78
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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79 plot(c.hist)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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80
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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81 %% Reproduce from history
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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82 disp('Try rebuilding')
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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83 a_out = rebuild(c);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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84 iplot(a_out)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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85 plot(a_out.hist)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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86
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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87 %% Fit with a straight line
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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88
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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89 p = linfit(a, plist(...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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90 ));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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91
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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92 %% Compute fit: evaluating pest
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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93
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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94 b1 = p.eval(plist('XData', a, 'xfield', 'x'));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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95 b2 = p.eval(a, plist('xfield', 'x'));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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96 b3 = p.eval(plist('type', 'xydata', 'XData', a.x, 'xunits', a.xunits));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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97 b4 = p.eval(plist('XData', a.x, 'xunits', a.xunits));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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98
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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99 %% Plot fit
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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100 iplot(a, b1, b2, b3, b4, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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101 plist('LineStyles', {'', '--'}));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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102
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
103 %% Fit with a straight line
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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104
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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105 p11 = linfit(a1, a2, plist(...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
106 ));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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107 p12 = linfit(a1, a2, plist(...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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108 'dy', 0.1));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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109 p22 = linfit(a1, a2, plist(...
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
110 'dx', 0.1, 'dy', 0.1, 'P0', [0 0]));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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111 p13 = linfit(a1, a2, plist(...
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
112 'dy', 0.1*ones(size(a1.x))));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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113 p23 = linfit(a1, a2, plist(...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
114 'dx', 0.1*ones(size(a1.x)), 'dy', 0.1*ones(size(a1.x)), 'P0', [0 0]));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
115 p14 = linfit(a1, a2, plist(...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
116 'dy', ao(0.1, plist('yunits', a2.yunits))));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
117 p24 = linfit(a1, a2, plist(...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
118 'dx', ao(0.1, plist('yunits', a1.yunits)), 'dy', ao(0.1, plist('yunits', a2.yunits)), 'P0', [0 0]));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
119 p15 = linfit(a1, a2, plist(...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
120 'dy', ao(0.1*ones(size(a2.y)), plist('yunits', a2.yunits))));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
121 p25 = linfit(a1, a2, plist(...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
122 'dx', ao(0.1*ones(size(a1.y)), plist('yunits', a1.yunits)), 'dy', ao(0.1*ones(size(a2.y)), plist('yunits', a2.yunits)), 'P0', [0 0]));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
123 p26 = linfit(a1, a2, plist(...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
124 'dx', 0.1, 'dy', 0.1, 'P0', ao([0 0])));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
125 p27 = linfit(a1, a2, plist(...
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
126 'dx', 0.1, 'dy', 0.1, 'P0', p11));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
127
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
128 %% Compute fit: evaluating pest
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
129
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
130 b11 = p11.eval(plist('type', 'xydata', 'XData', a1.y, 'xunits', a1.yunits));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
131 b12 = p12.eval(plist('type', 'xydata', 'XData', a1.y, 'xunits', a1.yunits));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
132 b22 = p22.eval(a1, plist('type', 'xydata'));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
133 b13 = p13.eval(plist('type', 'xydata', 'XData', a1.y, 'xunits', a1.yunits));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
134 b23 = p23.eval(a1, plist('type', 'xydata'));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
135 b14 = p14.eval(plist('type', 'xydata', 'XData', a1.y, 'xunits', a1.yunits));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
136 b24 = p24.eval(a1, plist('type', 'xydata'));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
137 b15 = p15.eval(a1, plist('type', 'xydata'));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
138 b25 = p25.eval(plist('type', 'xydata', 'XData', a1.y));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
139 b26 = p26.eval(plist('type', 'xydata', 'XData', a1.y));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
140 b27 = p27.eval(plist('type', 'xydata', 'XData', a1.y));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
141
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
142 % Build reference object
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
143 a12 = ao(plist('xvals', a1.y, 'yvals', a2.y, ...
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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144 'xunits', a1.yunits, 'yunits', a2.yunits));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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145 %% Plot fit
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Daniele Nicolodi <nicolodi@science.unitn.it>
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146 iplot(b22, b23, b24, b15, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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147 b12, b13, b14, b11, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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148 plist('LineStyles', {'', '--'}));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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149
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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150 %% Plot fit
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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151 iplot(b25, b26, b27, ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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152 plist('LineStyles', {'', '--'}));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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153
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Daniele Nicolodi <nicolodi@science.unitn.it>
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154 %% Remove linear trend
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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155 c = a12-b27;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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156 iplot(c)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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157
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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158 plot(c.hist)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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159
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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160 %% Reproduce from history
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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161 disp('Try rebuilding')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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162 a_out = rebuild(c);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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163 iplot(a_out)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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164 plot(a_out.hist)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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165
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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166 % end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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167 % END