annotate m-toolbox/classes/@pest/combineExps.m @ 16:91f21a0aab35 database-connection-manager

Update utils.jquery * * * Update utils.jmysql.getsinfo
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>
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1 % combineExps combine the results of different parameter estimation
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Daniele Nicolodi <nicolodi@science.unitn.it>
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2 % experimets and give the final joint estimate
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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 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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5 % DESCRIPTION: combineExps combine different parameter estimates into a
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Daniele Nicolodi <nicolodi@science.unitn.it>
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6 % single joint estimate. Joint covariance is also computed.
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Daniele Nicolodi <nicolodi@science.unitn.it>
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7 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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8 % CALL: obj = combineExps(objs);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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9 % obj = combineExps(objs);
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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 % INPUTS: obj - can be a vector
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12 %
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13 % <a href="matlab:utils.helper.displayMethodInfo('pest', 'combineExps')">Parameters Description</a>
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14 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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15 % VERSION: $Id: combineExps.m,v 1.9 2011/04/08 08:56:25 hewitson Exp $
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16 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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17 % HISTORY: 10-12-2010 G. Congedo
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Daniele Nicolodi <nicolodi@science.unitn.it>
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18 %
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19 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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20
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Daniele Nicolodi <nicolodi@science.unitn.it>
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21 function varargout = combineExps(varargin)
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22
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Daniele Nicolodi <nicolodi@science.unitn.it>
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23 %%% Check if this is a call for parameters
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Daniele Nicolodi <nicolodi@science.unitn.it>
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24 if utils.helper.isinfocall(varargin{:})
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Daniele Nicolodi <nicolodi@science.unitn.it>
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25 varargout{1} = getInfo(varargin{3});
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Daniele Nicolodi <nicolodi@science.unitn.it>
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26 return
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Daniele Nicolodi <nicolodi@science.unitn.it>
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27 end
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28
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Daniele Nicolodi <nicolodi@science.unitn.it>
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29 import utils.const.*
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Daniele Nicolodi <nicolodi@science.unitn.it>
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30 utils.helper.msg(msg.PROC3, 'running %s/%s', mfilename('class'), mfilename);
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31
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Daniele Nicolodi <nicolodi@science.unitn.it>
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32 % Collect input variable names
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Daniele Nicolodi <nicolodi@science.unitn.it>
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33 in_names = cell(size(varargin));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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34 for ii = 1:nargin,in_names{ii} = inputname(ii);end
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35
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Daniele Nicolodi <nicolodi@science.unitn.it>
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36 % Collect all AOs and plists
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Daniele Nicolodi <nicolodi@science.unitn.it>
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37 [pests, pest_invars] = utils.helper.collect_objects(varargin(:), 'pest', in_names);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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38 pl = utils.helper.collect_objects(varargin(:), 'plist', in_names);
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39
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40
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Daniele Nicolodi <nicolodi@science.unitn.it>
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41 % combine plists
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Daniele Nicolodi <nicolodi@science.unitn.it>
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42 % pl = parse(pl, getDefaultPlist());
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43
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Daniele Nicolodi <nicolodi@science.unitn.it>
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44 if nargout == 0
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45 error('### combineExps cannot be used as a modifier. Please give an output variable.');
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46 end
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47
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48 if ~all(isa(pests, 'pest'))
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49 error('### combineExps must be only applied to pest objects.');
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50 end
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51
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Daniele Nicolodi <nicolodi@science.unitn.it>
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52 N = numel(pests);
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53
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54 I = cell(N,1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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55 C = cell(N,1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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56 p = cell(N,1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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57 pnames = cell(N,1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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58 chi2 = zeros(N,1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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59 dof = zeros(N,1);
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60
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Daniele Nicolodi <nicolodi@science.unitn.it>
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61 % Iterate over all input pest
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Daniele Nicolodi <nicolodi@science.unitn.it>
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62 for ii=1:N
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63
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Daniele Nicolodi <nicolodi@science.unitn.it>
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64 counter = sprintf('%u',ii);
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65
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Daniele Nicolodi <nicolodi@science.unitn.it>
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66 % Extract values
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Daniele Nicolodi <nicolodi@science.unitn.it>
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67 pnames{ii} = pests(ii).names;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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68 p{ii} = pests(ii).y;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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69 chi2(ii) = pests(ii).chi2;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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70 if isempty(chi2(ii))
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Daniele Nicolodi <nicolodi@science.unitn.it>
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71 error(['### Could not find chi2 value for input pest #' counter]);
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72 end
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73 dof(ii) = pests(ii).dof;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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74 if isempty(dof(ii))
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75 error(['### Could not find dof value for input pest #' counter]);
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76 end
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77 I{ii} = pests(ii).procinfo.find('infomatrix');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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78 C{ii} = pests(ii).cov;
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79 if isempty(C{ii})
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80 C{ii} = inv(I{ii});
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Daniele Nicolodi <nicolodi@science.unitn.it>
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81 elseif isempty(I{ii})
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82 I{ii} = inv(C{ii});
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Daniele Nicolodi <nicolodi@science.unitn.it>
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83 elseif isempty(I{ii}) && isempty(C{ii});
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84 error(['### Could not find covariance matrix for input pest #' counter]);
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85 end
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86
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87 end
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88
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Daniele Nicolodi <nicolodi@science.unitn.it>
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89 % Now redefine all quantities to handle the general case when we have
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Daniele Nicolodi <nicolodi@science.unitn.it>
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90 % different sizes
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Daniele Nicolodi <nicolodi@science.unitn.it>
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91 Inew = cell(N,1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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92 pnew = cell(N,1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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93 pnamesAll = pnames{1};
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Daniele Nicolodi <nicolodi@science.unitn.it>
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94 dofnew = zeros(N,1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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95 chi2new = zeros(N,1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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96 for ii=1:N
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Daniele Nicolodi <nicolodi@science.unitn.it>
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97 pnamesAll = union(pnamesAll,pnames{ii});
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98 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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99 Np = numel(pnamesAll);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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100 for ii=1:N
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Daniele Nicolodi <nicolodi@science.unitn.it>
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101 Inew{ii} = zeros(Np);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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102 pnew{ii} = zeros(Np,1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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103 % dofnew{ii} = zeros(Np,1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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104 % information matrix
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Daniele Nicolodi <nicolodi@science.unitn.it>
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105 for kk=1:Np
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Daniele Nicolodi <nicolodi@science.unitn.it>
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106 for ll=1:Np
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Daniele Nicolodi <nicolodi@science.unitn.it>
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107 ixk = strcmp(pnamesAll{kk},pnames{ii});
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Daniele Nicolodi <nicolodi@science.unitn.it>
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108 ixl = strcmp(pnamesAll{ll},pnames{ii});
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Daniele Nicolodi <nicolodi@science.unitn.it>
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109 ixk = find(ixk);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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110 ixl = find(ixl);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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111 if ixk~=0 & ixl~=0
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Daniele Nicolodi <nicolodi@science.unitn.it>
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112 Inew{ii}(kk,ll) = I{ii}(ixk,ixl);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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113 end
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114 end
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115 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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116 % param vector
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Daniele Nicolodi <nicolodi@science.unitn.it>
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117 for kk=1:Np
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Daniele Nicolodi <nicolodi@science.unitn.it>
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118 ix = strcmp(pnamesAll{kk},pnames{ii});
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Daniele Nicolodi <nicolodi@science.unitn.it>
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119 ix = find(ix);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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120 if ix~=0
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Daniele Nicolodi <nicolodi@science.unitn.it>
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121 pnew{ii}(kk) = p{ii}(ix);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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122 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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123 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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124 % dof & chi2
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Daniele Nicolodi <nicolodi@science.unitn.it>
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125 dofnew(ii) = dof(ii) + numel(p{ii}) - Np;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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126 chi2new(ii) = chi2(ii) * dof(ii) / dofnew(ii);
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127
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Daniele Nicolodi <nicolodi@science.unitn.it>
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128 % for kk=1:Np
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Daniele Nicolodi <nicolodi@science.unitn.it>
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129 % ix = strcmp(pnamesAll,pnames{ii}{kk});
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Daniele Nicolodi <nicolodi@science.unitn.it>
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130 % ix = find(ix);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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131 % arr = I{ii}(kk,:);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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132 % % (1:kk) = arr(1:ix)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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133 % % Inew{ii}(ix,:) = [0 arr(kk:end)];
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Daniele Nicolodi <nicolodi@science.unitn.it>
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134 % % pnew{ii}(kk) = p{ii}(ix);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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135 % end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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136 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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137 I = Inew;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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138 p = pnew;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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139 dof = dofnew;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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140 chi2 = chi2new;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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141
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Daniele Nicolodi <nicolodi@science.unitn.it>
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142 % Compute joint information matrix
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Daniele Nicolodi <nicolodi@science.unitn.it>
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143 II = zeros(size(I{1}));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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144 for ii=1:N
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Daniele Nicolodi <nicolodi@science.unitn.it>
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145 II = II+I{ii};
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Daniele Nicolodi <nicolodi@science.unitn.it>
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146 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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147 % CC = inv(II);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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148
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Daniele Nicolodi <nicolodi@science.unitn.it>
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149 % Compute joint parameter estimate
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Daniele Nicolodi <nicolodi@science.unitn.it>
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150 pp = zeros(size(p{1}));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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151 for ii=1:N
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Daniele Nicolodi <nicolodi@science.unitn.it>
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152 pp = pp+I{ii}*p{ii};
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Daniele Nicolodi <nicolodi@science.unitn.it>
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153 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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154 pp = II\pp;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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155
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Daniele Nicolodi <nicolodi@science.unitn.it>
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156 % Compute joint errors and correlation matrix
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Daniele Nicolodi <nicolodi@science.unitn.it>
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157 CC = inv(II);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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158 dp = sqrt(diag(CC));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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159 corr = zeros(size(CC));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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160 for ll=1:size(CC,1)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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161 for mm=1:size(CC,2);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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162 corr(ll,mm) = CC(ll,mm)/dp(ll)/dp(mm);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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163 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
164 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
165
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
166 % Compute joint chi2 and dof
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
167 DOF = sum(dof);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
168 CHI2 = chi2'*dof/DOF;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
169
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
170 % Output pest
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
171 out = pest();
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
172 out = out.setNames(pnamesAll);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
173 % out = out.setYunits(pests(1).yunits);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
174 out = out.setY(pp);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
175 out = out.setCov(CC);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
176 out = out.setDy(dp);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
177 out = out.setCorr(corr);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
178 out = out.setChi2(CHI2);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
179 out = out.setDof(DOF);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
180 name = pests(1).name;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
181 if N>1
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
182 for ii=2:N
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
183 name = [name ',' pests(ii).name];
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
184 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
185 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
186 out = out.setName(['combineExps(' name ')']);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
187
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
188 out.procinfo = plist('infomatrix',II);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
189 out.addHistory(getInfo('None'), pl, pest_invars(:), [pests(:).hist]);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
190
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
191 % Set outputs
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
192 if nargout > 0
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
193 varargout{1} = out;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
194 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
195
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
196 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
197
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
198
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
199 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
200 % Get Info Object
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
201 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
202 function ii = getInfo(varargin)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
203 if nargin == 1 && strcmpi(varargin{1}, 'None')
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
204 sets = {};
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
205 pl = [];
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
206 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
207 sets = {'Default'};
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
208 pl = getDefaultPlist;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
209 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
210 % Build info object
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
211 ii = minfo(mfilename, 'pest', 'ltpda', utils.const.categories.helper, '$Id: combineExps.m,v 1.9 2011/04/08 08:56:25 hewitson Exp $', sets, pl);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
212 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
213
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
214 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
215 % Get Default Plist
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
216 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
217 function plout = getDefaultPlist()
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
218 persistent pl;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
219 if exist('pl', 'var')==0 || isempty(pl)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
220 pl = buildplist();
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
221 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
222 plout = pl;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
223 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
224
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
225 function plo = buildplist()
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
226 plo = plist.EMPTY_PLIST;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
227 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
228