Mercurial > hg > ltpda

annotate m-toolbox/classes/@ao/mean.m @ 45:a59cdb8aaf31 database-connection-manager

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Merge
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Tue, 06 Dec 2011 19:07:22 +0100
parents f0afece42f48
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Daniele Nicolodi <nicolodi@science.unitn.it>
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1 % MEAN computes the mean value of the data in the AO.
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2 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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3 %
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4 % DESCRIPTION: MEAN computes the mean value of the data in the AO.
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5 % The uncertainty is evaluated as the standard deviation of the mean.
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6 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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7 % CALL: ao_out = mean(ao_in);
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8 % ao_out = mean(ao_in, pl);
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9 %
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10 % <a href="matlab:utils.helper.displayMethodInfo('ao', 'mean')">Parameters Description</a>
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11 %
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12 % VERSION: $Id: mean.m,v 1.49 2011/04/19 18:48:11 ingo Exp $
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13 %
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14 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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15
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16 function varargout = mean(varargin)
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17
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18 % Check if the method was called by another method
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19 callerIsMethod = utils.helper.callerIsMethod;
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20
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21 % Settings
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22 operatorName = 'mean';
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23 dxFcn = [];
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24
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25 if callerIsMethod
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26 in_names = {};
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27 else
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28 % Collect input variable names
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29 in_names = cell(size(varargin));
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30 for ii = 1:nargin,in_names{ii} = inputname(ii);end
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31 end
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32
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33 % Here we are forced to collect objects so that we can check that each ao
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34 % is the correct type for doing diag.
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35 as = utils.helper.collect_objects(varargin(:), 'ao', in_names);
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36
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37 % We filter out the data3D objects here since we don't know what to do
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38 % with them so far.
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39 aos = [];
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40 for kk=1:numel(as)
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41 if isa(as(kk).data, 'data3D')
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42 warning('!!! Skipping ao [%s] - %s can''t operate on data3D objects at the moment.', as(kk).name, operatorName);
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43 else
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44 aos = [aos as(kk)];
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45 end
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46 end
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47 if isempty(aos) % try for getInfo
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48 out = ao.applymethod(0, callerIsMethod, in_names, operatorName, dxFcn, @getInfo, @getDefaultPlist, varargin{:});
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49 varargout{1} = out;
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50 return
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51 end
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52
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53 % Apply method to all AOs
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54 nAos = numel(aos);
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55 n = zeros(nAos,1);
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56 dy= zeros(nAos,1);
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57 for ii=1:nAos
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58 n(ii) = numel(aos(ii).data.y);
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59 dy(ii) = std(aos(ii).y)/sqrt(n(ii));
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60 end
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61
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62 copyObjects = nargout>0;
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63 [bs, pl] = ao.applymethod(copyObjects, callerIsMethod, in_names, operatorName, dxFcn, @getInfo, @getDefaultPlist, varargin{:});
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64
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65 if isa(bs, 'ao')
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66 bs = fixAxisData(bs, pl);
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67 for ii=1:numel(bs)
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68 bs(ii).setDy(dy(ii));
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69 end
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70 end
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71
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72 % set outputs
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73 varargout = utils.helper.setoutputs(nargout, bs);
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74
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75 end
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76
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77 %--------------------------------------------------------------------------
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78 % Get Info Object
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79 %--------------------------------------------------------------------------
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80 function ii = getInfo(varargin)
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81 ii = minfo.getInfoAxis(mfilename, @getDefaultPlist, varargin);
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82 end
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83
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84 %--------------------------------------------------------------------------
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85 % Get Default Plist
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86 %--------------------------------------------------------------------------
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87
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88 function plout = getDefaultPlist(set)
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89 persistent pl;
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90 persistent lastset;
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91 if ~exist('pl', 'var') || isempty(pl) || ~strcmp(lastset, set)
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92 pl = buildplist(set);
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93 lastset = set;
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94 end
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95 plout = pl;
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96 end
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97
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98 function plout = buildplist(varargin)
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99 plout = plist.getDefaultAxisPlist(varargin{:});
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100 end