annotate m-toolbox/classes/@pest/eval.m @ 13:e05504b18072 database-connection-manager

Move more functions to utils.repository
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Mon, 05 Dec 2011 16:20:06 +0100
parents f0afece42f48
children
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Daniele Nicolodi <nicolodi@science.unitn.it>
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1 % EVAL evaluate a pest object
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Daniele Nicolodi <nicolodi@science.unitn.it>
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2 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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3 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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4 % DESCRIPTION: EVAL evaluate a pest model.
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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: b = eval(p, pl)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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7 % b = eval(p, x, pl)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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8 % b = eval(p, x1, ... , xN, pl)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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9 % b = eval(p, [x1 ... xN], pl)
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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: p - input pest(s) containing parameter values.
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Daniele Nicolodi <nicolodi@science.unitn.it>
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12 % xi - input ao(s) containing x values (as x or y fields, depending on the 'xfield' parameter)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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13 % pl - parameter list (see below)
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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 % OUTPUTs: b - an AO containing the model evaluated at the given X
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Daniele Nicolodi <nicolodi@science.unitn.it>
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16 % values, with the given parameter values.
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17 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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18 % <a href="matlab:utils.helper.displayMethodInfo('pest', 'eval')">Parameters Description</a>
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19 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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20 % VERSION: $Id: eval.m,v 1.28 2011/05/15 22:47:14 mauro Exp $
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21 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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22 % EXAMPLES:
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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 % % 1)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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25 % % Prepare the symbolic model
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Daniele Nicolodi <nicolodi@science.unitn.it>
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26 % mdl = smodel(plist('expression', 'a1.*x + a2.*x.^2 + a0', 'xvar', 'x', 'yunits', 'V'));
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27 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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28 % % Prepare the pest object
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29 %
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30 % p = pest(plist('paramnames', {'a0','a1','a2'}, 'y', [1 2 3], 'models', mdl));
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31 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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32 % % Evaluate the object
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Daniele Nicolodi <nicolodi@science.unitn.it>
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33 % a1 = eval(p, plist('xdata', ao([1:10])))
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Daniele Nicolodi <nicolodi@science.unitn.it>
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34 % a2 = eval(p, ao([1:10]))
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Daniele Nicolodi <nicolodi@science.unitn.it>
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35 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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36 % % 2)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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37 % % Prepare the symbolic model
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Daniele Nicolodi <nicolodi@science.unitn.it>
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38 % mdl = smodel(plist('expression', 'a1.*x1 + a2.*x2 + a0', 'xvar', {'x1', 'x2'}, 'yunits', 'm', 'xunits', {'T', 'K'}));
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39 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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40 % % Prepare the pest object
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41 %
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42 % p = pest(plist('paramnames', {'a0','a1','a2'}, 'y', [1 2 3], 'yunits', {'m', 'T/m', 'K/m'}, 'models', mdl));
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43 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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44 % % Evaluate the object
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Daniele Nicolodi <nicolodi@science.unitn.it>
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45 % x1 = ao(plist('yvals', [1:10], 'fs', 1, 'yunits', 'T'));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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46 % x2 = ao(plist('yvals', [1:10], 'fs', 1, 'yunits', 'K'));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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47 % a1 = eval(p, plist('xdata', [x1 x2]))
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48 % a2 = eval(p, [x1 x2])
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Daniele Nicolodi <nicolodi@science.unitn.it>
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49 % a3 = eval(p, x1, x2)
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50 %
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51 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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52
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Daniele Nicolodi <nicolodi@science.unitn.it>
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53 function varargout = eval(varargin)
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54
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Daniele Nicolodi <nicolodi@science.unitn.it>
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55 % Check if this is a call for parameters
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Daniele Nicolodi <nicolodi@science.unitn.it>
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56 if utils.helper.isinfocall(varargin{:})
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Daniele Nicolodi <nicolodi@science.unitn.it>
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57 varargout{1} = getInfo(varargin{3});
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Daniele Nicolodi <nicolodi@science.unitn.it>
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58 return
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Daniele Nicolodi <nicolodi@science.unitn.it>
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59 end
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60
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Daniele Nicolodi <nicolodi@science.unitn.it>
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61 import utils.const.*
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Daniele Nicolodi <nicolodi@science.unitn.it>
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62 utils.helper.msg(msg.PROC3, 'running %s/%s', mfilename('class'), mfilename);
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63
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64 % Collect input variable names
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Daniele Nicolodi <nicolodi@science.unitn.it>
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65 in_names = cell(size(varargin));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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66 for ii = 1:nargin,in_names{ii} = inputname(ii);end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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67
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68 % Collect all AOs and plists
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Daniele Nicolodi <nicolodi@science.unitn.it>
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69 [psts, pst_invars, rest] = utils.helper.collect_objects(varargin(:), 'pest', in_names);
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70 [pl, pl_invars, rest] = utils.helper.collect_objects(rest, 'plist', in_names);
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71 [as, as_invars, rest] = utils.helper.collect_objects(rest, 'ao', in_names);
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72 [c, c_invars] = utils.helper.collect_objects(rest, 'cell', in_names);
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73
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Daniele Nicolodi <nicolodi@science.unitn.it>
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74 if nargout == 0
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75 error('### eval can not be used as a modifier method. Please give at least one output');
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76 end
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77
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Daniele Nicolodi <nicolodi@science.unitn.it>
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78 % combine plists
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Daniele Nicolodi <nicolodi@science.unitn.it>
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79 pl = parse(pl, getDefaultPlist());
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80
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Daniele Nicolodi <nicolodi@science.unitn.it>
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81 % Extract necessary parameters
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Daniele Nicolodi <nicolodi@science.unitn.it>
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82 index = find(pl, 'index');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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83 x = find(pl, 'Xdata');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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84 if ~isempty(as)
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85 x = as;
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86 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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87 % I don't know how to deal with the history of a cell array of aos
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Daniele Nicolodi <nicolodi@science.unitn.it>
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88 if ~isempty(c)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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89 error('Please pass the arguments in a vector or a list')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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90 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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91
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Daniele Nicolodi <nicolodi@science.unitn.it>
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92 % Extract the information about the x field, if necessary
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Daniele Nicolodi <nicolodi@science.unitn.it>
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93 xfield = pl.find('xfield');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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94 switch xfield
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Daniele Nicolodi <nicolodi@science.unitn.it>
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95 case 'x'
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Daniele Nicolodi <nicolodi@science.unitn.it>
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96 op = str2func('x');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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97 case 'y'
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Daniele Nicolodi <nicolodi@science.unitn.it>
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98 op = str2func('y');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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99 otherwise
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Daniele Nicolodi <nicolodi@science.unitn.it>
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100 error('oops')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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101 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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102
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Daniele Nicolodi <nicolodi@science.unitn.it>
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103 % Extract the xvals for the smodel, and the output x for the ao
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Daniele Nicolodi <nicolodi@science.unitn.it>
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104 switch class(x)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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105 case 'cell'
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Daniele Nicolodi <nicolodi@science.unitn.it>
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106 switch class(x{1})
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Daniele Nicolodi <nicolodi@science.unitn.it>
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107 case 'ao'
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Daniele Nicolodi <nicolodi@science.unitn.it>
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108 data_type = find(pl, 'type');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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109 if isempty(data_type)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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110 % Nothing to do, output data type will be inherited from the first AO
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Daniele Nicolodi <nicolodi@science.unitn.it>
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111 if ~isa(x{1}.data, 'cdata')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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112 out_x = x{1};
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Daniele Nicolodi <nicolodi@science.unitn.it>
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113 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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114 out_x = [];
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115 end
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116 out_xunits = '';
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117 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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118 % In this case I have to extract the vector with the output x and xunits
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Daniele Nicolodi <nicolodi@science.unitn.it>
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119 out_x = feval(op, x{1});
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Daniele Nicolodi <nicolodi@science.unitn.it>
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120 out_xunits = feval(str2func([xfield 'units']), x{1});
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Daniele Nicolodi <nicolodi@science.unitn.it>
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121 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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122 case 'double'
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Daniele Nicolodi <nicolodi@science.unitn.it>
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123 data_type = find(pl, 'type');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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124 xvals = x;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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125 switch data_type
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Daniele Nicolodi <nicolodi@science.unitn.it>
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126 case {'tsdata', 'fsdata', 'xydata'}
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Daniele Nicolodi <nicolodi@science.unitn.it>
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127 out_x = x;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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128 out_xunits = find(pl, 'xunits');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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129 case {'cdata', ''}
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Daniele Nicolodi <nicolodi@science.unitn.it>
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130 out_x = [];
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Daniele Nicolodi <nicolodi@science.unitn.it>
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131 out_xunits = '';
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Daniele Nicolodi <nicolodi@science.unitn.it>
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132 otherwise
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Daniele Nicolodi <nicolodi@science.unitn.it>
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133 error('LTPDA error')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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134 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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135 otherwise
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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 case 'ao'
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Daniele Nicolodi <nicolodi@science.unitn.it>
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138 data_type = find(pl, 'type');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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139 if isempty(data_type)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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140 % Nothing to do, output data type will be inherited from the first AO
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Daniele Nicolodi <nicolodi@science.unitn.it>
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141 if ~isa(x(1).data, 'cdata')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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142 out_x = x(1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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143 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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144 out_x = [];
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Daniele Nicolodi <nicolodi@science.unitn.it>
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145 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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146 out_xunits = '';
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Daniele Nicolodi <nicolodi@science.unitn.it>
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147 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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148 % In this case I have to extract the vector with the output x and xunits
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Daniele Nicolodi <nicolodi@science.unitn.it>
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149 out_x = feval(op, x(1));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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150 out_xunits = feval(str2func([xfield 'units']), x(1));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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151 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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152 case 'double'
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Daniele Nicolodi <nicolodi@science.unitn.it>
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153 data_type = find(pl, 'type');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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154 xvals = x;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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155 switch data_type
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Daniele Nicolodi <nicolodi@science.unitn.it>
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156 case {'tsdata', 'fsdata', 'xydata'}
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Daniele Nicolodi <nicolodi@science.unitn.it>
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157 out_x = x;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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158 case {'cdata', ''}
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Daniele Nicolodi <nicolodi@science.unitn.it>
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159 out_x = [];
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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160 otherwise
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
161 error('LTPDA error')
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
162 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
163 out_xunits = find(pl, 'xunits');
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
164 otherwise
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
165 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
166
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
167 % If the user wants to override the pest/smodel yunits, let's get them
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
168 % This works only if the user sets them to something not empty
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
169 yunits = find(pl, 'yunits');
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
170
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
171 % If we have AOs in a cell....
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
172 if iscell(x) && all(cellfun(@(x)isa(x, 'ao'), x))
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
173 % if we have multiple x, we need to convert the y values into a cell array
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
174 xvals = cellfun(op, x, 'UniformOutput', false);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
175 elseif isa(x, 'ao')
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
176 % we put the y values in to a cell array
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
177 if numel(x) > 1
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
178 xvals = cellfun(op, num2cell(x), 'UniformOutput', false);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
179 else
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
180 % ... we take the x values, as per the help
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
181 xvals = feval(op, x);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
182 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
183 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
184
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
185 % Loop over input objects
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
186 for jj = 1:numel(psts)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
187
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
188 pst = psts(jj);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
189 % evaluate models
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
190 m = copy(pst.models, true);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
191 switch class(m)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
192 case 'smodel'
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
193 % Make sure the smodel parameters are named the same as the pest
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
194 m(index).setParams(pst.names, pst.y);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
195 % If the user provided the x vector(s), override the smodel x with these
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
196 if ~isempty(xvals)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
197 m(index).setXvals(xvals);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
198 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
199 % Go for the model evaluation
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
200 out(jj) = eval(m(index), plist(...
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
201 'output type', data_type, 'output x', out_x, 'output xunits', out_xunits));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
202
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
203 % Setting the units of the evaluated model
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
204 if ~isempty(yunits)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
205 out(jj).setYunits(yunits);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
206 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
207
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
208 case 'ao'
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
209 % do linear combination: using lincom
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
210 out(jj) = lincom(m, pst);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
211 out(jj).simplifyYunits;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
212
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
213
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
214 case 'matrix'
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
215 % check objects of the matrix and switch
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
216 switch class(m(1).objs)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
217 case 'smodel'
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
218 % Make sure the smodel parameters are named the same as the pest
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
219 for ii = 1:numel(m.objs)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
220 m.objs(ii).setParams(pst.names, pst.y);
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 % If the user provided the x vector(s), override the smodel x with these
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
223 if ~isempty(x)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
224 for ii = 1:numel(m.objs)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
225 m.objs(ii).setXvals(x);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
226 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
227 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
228 % Go for the model evaluation
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
229 tout = ao.initObjectWithSize(size(m.objs,1),size(m.objs,2));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
230 for ii=1:size(m.objs,1)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
231 for kk=1:size(m.objs,2)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
232 tout(ii,kk) = eval(m.objs(ii,kk), plist(...
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
233 'output type', data_type, 'output x', out_x));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
234 % Setting the units of the evaluated model
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
235 if ~isempty(yunits)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
236 tout(ii,kk).setYunits(yunits);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
237 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
238 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
239 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
240 out(jj) = matrix(tout);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
241 case 'ao'
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
242 % get params from the pest object
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
243 prms = pst.y;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
244 % build cdata aos
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
245 prmsao = ao.initObjectWithSize(numel(prms),1);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
246 for ii = 1:numel(prms)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
247 prmsao(ii) = ao(cdata(prms(ii)));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
248 prmsao(ii).setYunits(pst.yunits(ii));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
249 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
250 % build matrix for parameters
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
251 prm = matrix(prmsao);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
252 % build matrix for the model
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
253 mm = ao.initObjectWithSize(numel(m(1).objs),numel(prms));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
254 for ii = 1:numel(m(1).objs)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
255 for kk = 1:numel(prms)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
256 mm(ii,kk) = m(kk).getObjectAtIndex(ii);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
257 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
258 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
259 mmat = matrix(mm);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
260 % eval model
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
261 tout = mmat*prm;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
262 out(jj) = tout;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
263 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
264 otherwise
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
265 error('### current version of pest/eval needs the ''models'' field to be a smodel')
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
266 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
267
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
268
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
269
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
270 % uncertainties for the evaluated model: calculate them from covariance matrix
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
271 if ~isempty(pst.cov) && utils.prog.yes2true(pl.find('errors'));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
272 switch class(m)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
273 case 'smodel'
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
274 C = pst.cov;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
275 p = pst.names;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
276 % here we need a matrix of "functions" which are the derivatives wrt parameters,
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
277 % evaluated at each point x:
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
278
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
279 F = [];
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
280 for kk = 1:length(p)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
281 md = eval(diff(m(index), plist('var', p{kk})));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
282 F = [F md.y];
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
283 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
284 % The formula is:
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
285 % D = F * C * F';
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
286 % and then we need to take
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
287 % dy = sqrt(diag(D))
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
288 if size(md.y, 1) > 1
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
289 % Make sure we work with columns
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
290 out(jj).setDy(sqrt(sum((F * C)' .* F'))');
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
291 else
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
292 out(jj).setDy(sqrt(sum((F' * C)' .* F)));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
293 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
294
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
295 otherwise
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
296 warning('Propagation of the errors on the model not yet implemented')
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
297 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
298 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
299
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
300 % Set output AO name
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
301 name = sprintf('eval(%s,', pst.name);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
302 for kk = 2:numel(pst)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
303 name = [name pst(kk).name ','];
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
304 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
305 name = [name(1:end-1) ')'];
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
306 out(jj).name = name;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
307 % Add history
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
308 if isempty(as)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
309 out(jj).addHistory(getInfo('None'), pl, pst_invars, pst(:).hist);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
310 else
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
311 out(jj).addHistory(getInfo('None'), pl, {pst_invars as_invars}, [pst(:).hist as(:).hist]);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
312 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
313 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
314
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
315 % Set output
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
316 varargout = utils.helper.setoutputs(nargout, out);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
317
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
318 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
319
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
320
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
321 %--------------------------------------------------------------------------
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
322 % Get Info Object
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
323 %--------------------------------------------------------------------------
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
324 function ii = getInfo(varargin)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
325 if nargin == 1 && strcmpi(varargin{1}, 'None')
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
326 sets = {};
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
327 pl = [];
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
328 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
329 sets = {'Default'};
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
330 pl = getDefaultPlist();
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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331 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
332 % Build info object
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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333 ii = minfo(mfilename, 'pest', 'ltpda', utils.const.categories.sigproc, '$Id: eval.m,v 1.28 2011/05/15 22:47:14 mauro Exp $', sets, pl);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
334 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
335
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
336 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
337 % Get Default Plist
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
338 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
339 function plout = getDefaultPlist()
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
340 persistent pl;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
341 if ~exist('pl', 'var') || isempty(pl)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
342 pl = buildplist();
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
343 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
344 plout = pl;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
345 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
346
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
347 function pl = buildplist()
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
348
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
349 pl = plist();
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
350
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
351 % INDEX
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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352 p = param({'index', 'Select which model must be evaluated if more than one.'}, paramValue.DOUBLE_VALUE(1));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
353 pl.append(p);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
354
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
355 % XDATA
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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356 p = param({'Xdata', ['The X values to evaluate the model at. This can be:<ul>'...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
357 '<li>a double vector </li>' ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
358 '<li>a cell array of double vectors</li>' ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
359 '<li>a single AO (from which the Y data will be extracted)</li>' ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
360 '<li>a cell array of AOs (from which the Y data will be extracted)</li></ul>' ...
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
361 ]}, paramValue.EMPTY_DOUBLE);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
362 pl.append(p);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
363
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
364 % XFIELD
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
365 p = param({'xfield', 'Choose the field to extract the x values from when inputting AOs for parameter ''xdata''.'}, {2, {'x', 'y'}, paramValue.SINGLE});
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
366 pl.append(p);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
367
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
368 % TYPE
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
369 pv = paramValue.DATA_TYPES;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
370 % Add an 'empty' on top of the list
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
371 pv{2} = [{''} pv{2}];
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
372 p = param({'type', ['Choose the data type for the output ao.<br>'...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
373 'If empty, and if the user input AOs as ''XDATA'', the type will be inherited.']}, pv);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
374 p.val.setValIndex(1);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
375 pl.append(p);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
376
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
377 % YUNITS
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
378 p = param({'yunits','Unit on Y axis.'}, paramValue.STRING_VALUE(''));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
379 pl.append(p);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
380
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
381 % XUNITS
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
382 p = param({'xunits','Unit on X axis.'}, paramValue.STRING_VALUE(''));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
383 pl.append(p);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
384
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
385 % ERRORS
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
386 p = param({'errors', ['Estimate the uncertainty of the output values based <br>' ...
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
387 'on the parameters covariance matrix']}, paramValue.TRUE_FALSE);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
388 pl.append(p);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
389
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
390 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
391 % END