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annotate m-toolbox/classes/@ao/cdfplot.m @ 4:e3c5468b1bfe database-connection-manager

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Integrate with LTPDAPreferences
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Mon, 05 Dec 2011 16:20:06 +0100
parents f0afece42f48
children
Ignore whitespace changes - Everywhere: Within whitespace: At end of lines:
rev   line source
0
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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1 % CDFPLOT makes cumulative distribution plot
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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2 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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3 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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4 % DESCRIPTION: Make cumulative distribution plot and calculate confidence
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Daniele Nicolodi <nicolodi@science.unitn.it>
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5 % intervals on the basis of the Kolmogorov-Smirnov test.
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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6 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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7 % CALL: cdfplot(a, pl)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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8 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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9 % INPUT: a: are real valued AO
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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10 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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11 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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12 % <a href="matlab:utils.helper.displayMethodInfo('ao', 'kstest')">Parameters Description</a>
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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13 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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14 % VERSION: $Id: cdfplot.m,v 1.3 2011/07/08 09:45:35 luigi Exp $
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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15 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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16 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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17
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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18 function varargout = cdfplot(varargin)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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19
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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20 % Check if this is a call for parameters
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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21 if utils.helper.isinfocall(varargin{:})
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Daniele Nicolodi <nicolodi@science.unitn.it>
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22 varargout{1} = getInfo(varargin{3});
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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23 return
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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24 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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25
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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26 import utils.const.*
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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27 utils.helper.msg(msg.PROC3, 'running %s/%s', mfilename('class'), mfilename);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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28
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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29 % Collect input variable names
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Daniele Nicolodi <nicolodi@science.unitn.it>
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30 in_names = cell(size(varargin));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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31 for ii = 1:nargin,in_names{ii} = inputname(ii);end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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32
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Daniele Nicolodi <nicolodi@science.unitn.it>
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33 % Collect all AOs and plists
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Daniele Nicolodi <nicolodi@science.unitn.it>
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34 [as, ao_invars] = utils.helper.collect_objects(varargin(:), 'ao', in_names);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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35 pl = utils.helper.collect_objects(varargin(:), 'plist', in_names);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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36
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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37 % combine plists
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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38 if isempty(pl)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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39 model = 'empirical';
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Daniele Nicolodi <nicolodi@science.unitn.it>
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40 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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41 model = lower(find(pl, 'TESTDISTRIBUTION'));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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42 if isempty(model)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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43 model = 'empirical';
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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44 pl.pset('TESTDISTRIBUTION', model);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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45 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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46 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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47
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Daniele Nicolodi <nicolodi@science.unitn.it>
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48 pl = parse(pl, getDefaultPlist(model));
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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49
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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50 % get parameters
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Daniele Nicolodi <nicolodi@science.unitn.it>
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51 conf = find(pl, 'CONFLEVEL');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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52 if isa(conf, 'ao')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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53 conf = conf.y;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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54 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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55 shapeparam = find(pl, 'SHAPEPARAM');
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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56 if isa(shapeparam, 'ao')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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57 shapeparam = shapeparam.y;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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58 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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59 ftsize = find(pl, 'FONTSIZE');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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60 if isa(ftsize, 'ao')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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61 ftsize = ftsize.y;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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62 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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63 lwidth = find(pl, 'LINEWIDTH');
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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64 if isa(lwidth, 'ao')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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65 lwidth = lwidth.y;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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66 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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67
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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68 % switch among test type
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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69 switch lower(model)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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70 case 'normal'
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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71 mmean = find(pl, 'MEAN');
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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72 if isa(mmean, 'ao')
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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73 mmean = mmean.y;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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74 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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75 sstd = find(pl, 'STD');
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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76 if isa(sstd, 'ao')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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77 sstd = sstd.y;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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78 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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79 distparams = [mmean, sstd];
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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80 dist = 'normdist';
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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81 case 'chi2'
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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82 ddof = find(pl, 'DOF');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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83 if isa(ddof, 'ao')
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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84 ddof = ddof.y;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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85 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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86 distparams = [ddof];
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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87 dist = 'chi2dist';
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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88 case 'f'
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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89 dof1 = find(pl, 'DOF1');
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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90 if isa(dof1, 'ao')
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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91 dof1 = dof1.y;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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92 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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93 dof2 = find(pl, 'DOF2');
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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94 if isa(dof2, 'ao')
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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95 dof2 = dof2.y;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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96 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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97 distparams = [dof1, dof2];
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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98 dist = 'fdist';
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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99 case 'gamma'
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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100 shp = find(pl, 'SHAPE');
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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101 if isa(shp, 'ao')
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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102 shp = shp.y;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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103 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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104 scl = find(pl, 'SCALE');
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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105 if isa(scl, 'ao')
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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106 scl = scl.y;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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107 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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108 distparams = [shp, scl];
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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109 dist = 'gammadist';
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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110 otherwise
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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111 distparams = [];
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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112 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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113
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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114
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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115 % run test
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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116 switch lower(model)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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117 case 'empirical'
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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118
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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119 % build parameters struct
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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120 params = struct(...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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121 'conflevel',conf,...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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122 'FontSize',ftsize,...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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123 'LineWidth',lwidth);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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124
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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125 y1 = as(1).y;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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126 % run over input aos
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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127 for ii=1:numel(as)-1
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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128 y2 = as(ii+1).y;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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129 if size(y1,1)~=size(y2,1)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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130 % reshape
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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131 y2 = y2.';
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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132 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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133 utils.math.cdfplot(y1, y2, params);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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134
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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135 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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136
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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137 otherwise
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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138
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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139 % build parameters struct
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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140 params = struct(...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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141 'ProbDist',dist,...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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142 'ShapeParam',shapeparam,...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
143 'params',distparams,...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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144 'conflevel',conf,...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
145 'FontSize',ftsize,...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
146 'LineWidth',lwidth);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
147
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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148 % run over input aos
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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149 for ii=1:numel(as)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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150
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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151 utils.math.cdfplot(as(ii).y, [], params);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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152
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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153 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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154
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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155 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
156
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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157
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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158 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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159
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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160
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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161 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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162 % Get Info Object
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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163 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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164 function ii = getInfo(varargin)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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165 if nargin == 1 && strcmpi(varargin{1}, 'None')
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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166 sets = {};
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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167 pl = [];
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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168 elseif nargin == 1 && ~isempty(varargin{1}) && ischar(varargin{1})
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
169 sets{1} = varargin{1};
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
170 pl = getDefaultPlist(sets{1});
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
171 else
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
172 sets = SETS();
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
173 % get plists
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
174 pl(size(sets)) = plist;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
175 for kk = 1:numel(sets)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
176 pl(kk) = getDefaultPlist(sets{kk});
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
177 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
178 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
179 % Build info object
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
180 ii = minfo(mfilename, 'ao', 'ltpda', utils.const.categories.sigproc, '$Id: cdfplot.m,v 1.3 2011/07/08 09:45:35 luigi Exp $', sets, pl);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
181 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
182
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
183
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
184 %--------------------------------------------------------------------------
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
185 % Defintion of Sets
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
186 %--------------------------------------------------------------------------
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
187
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
188 function out = SETS()
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
189 out = {...
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
190 'empirical', ...
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
191 'normal', ...
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
192 'chi2', ...
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
193 'f', ...
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
194 'gamma' ...
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
195 };
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
196 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
197
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
198 %--------------------------------------------------------------------------
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
199 % Get Default Plist
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
200 %--------------------------------------------------------------------------
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
201 function plout = getDefaultPlist(set)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
202 persistent pl;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
203 persistent lastset;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
204 if ~exist('pl', 'var') || isempty(pl) || ~strcmp(lastset, set)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
205 pl = buildplist(set);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
206 lastset = set;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
207 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
208 plout = pl;
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
209 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
210
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
211 function plo = buildplist(set)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
212 plo = plist();
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
213
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
214 p = param({'TESTDISTRIBUTION', ['test data are compared with the given'...
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
215 'test distribution. Available choices are:<ol>'...
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
216 '<li>EMPIRICAL test the all the input object (starting from the second) against the first object.</li>'...
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
217 '<li>NORMAL test all the input objects against the Normal distribution</li>'...
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
218 '<li>CHI2 test all the input objects against the Chi square distribution</li>'...
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
219 '<li>F test all the input objects against the F distribution</li>'...
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
220 '<li>GAMMA test all the input objects against the Gamma distribution</li></ol>']}, ...
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
221 {1, {'EMPIRICAL', 'NORMAL', 'CHI2', 'F', 'GAMMA'}, paramValue.SINGLE});
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
222 plo.append(p);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
223
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
224 p = param({'CONFLEVEL', 'Confidence level for confidence interval calculations.'},...
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
225 paramValue.DOUBLE_VALUE(0.95));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
226 plo.append(p);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
227
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
228 p = param({'SHAPEPARAM', ['In the case of comparison of a data series with a'...
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
229 'theoretical distribution and the data series is composed of correlated'...
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
230 'elements. K can be adjusted with a shape parameter in order to recover'...
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
231 'test fairness [3]. In such a case the test is performed for K* = Phi * K.'...
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
232 'Phi is the corresponding Shape parameter. The shape parameter depends on'...
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
233 'the correlations and on the significance value. It does not depend on'...
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
234 'data length.']}, paramValue.DOUBLE_VALUE(1));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
235 plo.append(p);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
236
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
237 p = param({'FONTSIZE', 'Font size for axis'}, paramValue.DOUBLE_VALUE(22));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
238 plo.append(p);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
239
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
240 p = param({'LINEWIDTH', 'Line Width'}, paramValue.DOUBLE_VALUE(2));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
241 plo.append(p);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
242
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
243 switch lower(set)
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
244 case 'empirical'
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
245 % do nothing
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
246 case 'normal'
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
247 p = param({'MEAN', ['The mean of the normal distribution']}, paramValue.DOUBLE_VALUE(0));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
248 plo.append(p);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
249 p = param({'STD', ['The standard deviation of the normal distribution']}, paramValue.DOUBLE_VALUE(1));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
250 plo.append(p);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
251 case 'chi2'
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
252 p = param({'DOF', ['Degrees of freedom of the chi square distribution']}, paramValue.DOUBLE_VALUE(2));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
253 plo.append(p);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
254 case 'f'
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
255 p = param({'DOF1', ['First degree of freedom of the F distribution']}, paramValue.DOUBLE_VALUE(2));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
256 plo.append(p);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
257 p = param({'DOF2', ['Second degree of freedom of the F distribution']}, paramValue.DOUBLE_VALUE(2));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
258 plo.append(p);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
259 case 'gamma'
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
260 p = param({'SHAPE', ['Shape parameter (k) of the Gamma distribution']}, paramValue.DOUBLE_VALUE(2));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
261 plo.append(p);
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
262 p = param({'SCALE', ['Scale parameter (theta) of the Gamma distribution']}, paramValue.DOUBLE_VALUE(2));
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
263 plo.append(p);
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 end
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
266
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 end