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Daniele Nicolodi <nicolodi@science.unitn.it>
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1 % STD computes the standard deviation of the data in the AO.
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Daniele Nicolodi <nicolodi@science.unitn.it>
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2 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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Daniele Nicolodi <nicolodi@science.unitn.it>
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3 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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4 % DESCRIPTION: STD computes the standard deviation of the data in the AO.
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Daniele Nicolodi <nicolodi@science.unitn.it>
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5 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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6 % CALL: ao_out = std(ao_in);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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7 % ao_out = std(ao_in, pl);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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8 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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9 % <a href="matlab:utils.helper.displayMethodInfo('ao', 'std')">Parameters Description</a>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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10 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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11 % VERSION: $Id: std.m,v 1.43 2011/04/19 18:48:11 ingo Exp $
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Daniele Nicolodi <nicolodi@science.unitn.it>
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12 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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13 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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Daniele Nicolodi <nicolodi@science.unitn.it>
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14
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Daniele Nicolodi <nicolodi@science.unitn.it>
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15 function varargout = std(varargin)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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16
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Daniele Nicolodi <nicolodi@science.unitn.it>
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17 % Check if the method was called by another method
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Daniele Nicolodi <nicolodi@science.unitn.it>
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18 callerIsMethod = utils.helper.callerIsMethod;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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19
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Daniele Nicolodi <nicolodi@science.unitn.it>
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20 % Settings
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Daniele Nicolodi <nicolodi@science.unitn.it>
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21 operatorName = 'std';
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Daniele Nicolodi <nicolodi@science.unitn.it>
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22 dxFcn = [];
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Daniele Nicolodi <nicolodi@science.unitn.it>
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23
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Daniele Nicolodi <nicolodi@science.unitn.it>
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24 if callerIsMethod
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Daniele Nicolodi <nicolodi@science.unitn.it>
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25 in_names = {};
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Daniele Nicolodi <nicolodi@science.unitn.it>
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26 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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27 % Collect input variable names
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Daniele Nicolodi <nicolodi@science.unitn.it>
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28 in_names = cell(size(varargin));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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29 for ii = 1:nargin,in_names{ii} = inputname(ii);end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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30
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Daniele Nicolodi <nicolodi@science.unitn.it>
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31 % Check if this is a call for the minfo object
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Daniele Nicolodi <nicolodi@science.unitn.it>
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32 if utils.helper.isinfocall(varargin{:})
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Daniele Nicolodi <nicolodi@science.unitn.it>
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33 varargout{1} = getInfo(varargin{3});
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Daniele Nicolodi <nicolodi@science.unitn.it>
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34 return
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Daniele Nicolodi <nicolodi@science.unitn.it>
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35 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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36
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37 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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38
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Daniele Nicolodi <nicolodi@science.unitn.it>
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39 % Here we are forced to collect objects so that we can check that each ao
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Daniele Nicolodi <nicolodi@science.unitn.it>
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40 % is the correct type and shape for doing det.
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Daniele Nicolodi <nicolodi@science.unitn.it>
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41 [as, dummy, rest] = utils.helper.collect_objects(varargin, 'ao', in_names);
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42
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Daniele Nicolodi <nicolodi@science.unitn.it>
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43 % Check for the correct data objects: Throw an error for data2D objects.
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Daniele Nicolodi <nicolodi@science.unitn.it>
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44 as.checkDataType('data3D');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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45
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Daniele Nicolodi <nicolodi@science.unitn.it>
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46 copyObjects = nargout>0;
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47
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Daniele Nicolodi <nicolodi@science.unitn.it>
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48 % Apply method to all AOs
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Daniele Nicolodi <nicolodi@science.unitn.it>
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49 [out, pl] = ao.applymethod(copyObjects, callerIsMethod, in_names, operatorName, dxFcn, @getInfo, @getDefaultPlist, varargin{:});
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50
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Daniele Nicolodi <nicolodi@science.unitn.it>
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51 % set outputs
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Daniele Nicolodi <nicolodi@science.unitn.it>
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52 if isa(out, 'ao')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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53 out = fixAxisData(out, pl);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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54 % Clear errors
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Daniele Nicolodi <nicolodi@science.unitn.it>
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55 out.clearErrors(pl);
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56 end
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57
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58 % set outputs
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Daniele Nicolodi <nicolodi@science.unitn.it>
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59 varargout = utils.helper.setoutputs(nargout, out);
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60
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61 end
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62
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Daniele Nicolodi <nicolodi@science.unitn.it>
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63 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
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64 % Get Info Object
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Daniele Nicolodi <nicolodi@science.unitn.it>
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65 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
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66 function ii = getInfo(varargin)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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67 ii = minfo.getInfoAxis(mfilename, @getDefaultPlist, varargin);
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68 end
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69
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70 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
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71 % Get Default Plist
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Daniele Nicolodi <nicolodi@science.unitn.it>
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72 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
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73
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Daniele Nicolodi <nicolodi@science.unitn.it>
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74 function plout = getDefaultPlist(set)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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75 persistent pl;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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76 persistent lastset;
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77 if ~exist('pl', 'var') || isempty(pl) || ~strcmp(lastset, set)
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78 pl = buildplist(set);
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79 lastset = set;
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80 end
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81 plout = pl;
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82 end
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83
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Daniele Nicolodi <nicolodi@science.unitn.it>
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84 function plout = buildplist(varargin)
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85 plout = plist.getDefaultAxisPlist(varargin{:});
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Daniele Nicolodi <nicolodi@science.unitn.it>
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86 % option
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Daniele Nicolodi <nicolodi@science.unitn.it>
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87 p = param({'option', 'See help std.'}, paramValue.DOUBLE_VALUE(0));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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88 plout.remove('option');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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89 plout.append(p);
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90 end
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91
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