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annotate m-toolbox/classes/@ao/ecdf.m @ 19:69e3d49b4b0c database-connection-manager

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Update ltpda_uo.fromRepository
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 % ECDF calculate empirical cumulative distribution function
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Daniele Nicolodi <nicolodi@science.unitn.it>
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2 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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3 % Description:
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4 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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5 % ECDF calculate empirical cumulative distribution function
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6 %
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7 % CALL: b = ecdf(a, pl)
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8 %
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9 % INPUT: a: are real valued AO.
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10 %
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11 % OUTPUT: b: Empirical cumulative distribution
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12 %
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13 %
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14 %
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15 % <a href="matlab:utils.helper.displayMethodInfo('ao', 'ecdf')">Parameters Description</a>
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16 %
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17 % VERSION: $Id: ecdf.m,v 1.2 2011/07/08 13:13:14 luigi Exp $
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18 %
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19 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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20
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21 function varargout = ecdf(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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24 if utils.helper.isinfocall(varargin{:})
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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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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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30 utils.helper.msg(msg.PROC3, 'running %s/%s', mfilename('class'), mfilename);
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31
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32 % Collect input variable names
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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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36 % Collect all AOs and plists
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37 [as, ao_invars] = utils.helper.collect_objects(varargin(:), 'ao', in_names);
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38
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Daniele Nicolodi <nicolodi@science.unitn.it>
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39 if nargout == 0
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40 error('### ECDF cannot be used as a modifier. Please provide an output variable.');
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41 end
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42
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43
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44 % Collect input histories
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45 inhists = [as.hist];
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46
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47 % Apply defaults to plist
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48 pl = applyDefaults(getDefaultPlist, varargin{:});
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49
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Daniele Nicolodi <nicolodi@science.unitn.it>
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50 bs = ao.initObjectWithSize(1, numel(as));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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51 % run over input aos
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52 for ii=1:numel(bs)
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53
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54 [F,X] = utils.math.ecdf(as(ii).y);
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55
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56 bs(ii) = ao(plist('xvals', X, 'yvals', F));
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57 bs(ii).setName(sprintf('ECDF(%s)', as(ii).name));
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58 bs(ii).addHistory(getInfo('None'), pl, ao_invars(ii), inhists(ii));
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59 end
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60
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61 % Set output
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62 varargout = utils.helper.setoutputs(nargout, bs);
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63
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64 end
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65
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66
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67 %--------------------------------------------------------------------------
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68 % Get Info Object
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69 %--------------------------------------------------------------------------
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70 function ii = getInfo(varargin)
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71 if nargin == 1 && strcmpi(varargin{1}, 'None')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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72 sets = {};
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73 pl = [];
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74 else
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75 sets = {'Default'};
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76 pl = getDefaultPlist();
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77 end
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78 % Build info object
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79 ii = minfo(mfilename, 'ao', 'ltpda', utils.const.categories.sigproc, '$Id: ecdf.m,v 1.2 2011/07/08 13:13:14 luigi Exp $', sets, pl);
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80 end
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81
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82 %--------------------------------------------------------------------------
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83 % Get Default Plist
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84 %--------------------------------------------------------------------------
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85 function plout = getDefaultPlist()
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86 persistent pl;
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87 if ~exist('pl', 'var') || isempty(pl)
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88 pl = buildplist();
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89 end
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90 plout = pl;
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91 end
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92
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93 function plo = buildplist()
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94 plo = plist();
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95
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96
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97 end