1 | %
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2 | % plot 3-d scatter plots of variables vs. responses.
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3 | %
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4 | % []=plot_rvsv_scat3(dvar ,dresp ,params)
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5 | % []=plot_rvsv_scat3(dvar ,descv,dresp,descr,params)
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6 | % []=plot_rvsv_scat3(sampv,descv,sampr,descr,params)
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7 | %
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8 | % where the required input is:
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9 | % dvar (structure array, variables)
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10 | % or
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11 | % dvar (structure array, variables)
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12 | % descv (cell array, list of variable descriptions desired)
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13 | % or
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14 | % sampv (double array, lists of variable samples)
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15 | % descv (cell array, list of variable descriptions)
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16 | %
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17 | % dresp (structure array, responses)
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18 | % or
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19 | % dresp (structure array, responses)
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20 | % descr (cell array, list of response descriptions desired)
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21 | % or
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22 | % sampr (double array, lists of response samples)
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23 | % descr (cell array, list of response descriptions)
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24 | %
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25 | % the required fields of dvar and dresp are:
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26 | % descriptor (char, description)
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27 | % sample (double vector, list of samples)
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28 | %
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29 | % the optional input is:
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30 | % params (string/numeric, parameter names and values)
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31 | %
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32 | % where the optional parameters are:
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33 | % nplotr (numeric, number of plot rows)
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34 | % nplotc (numeric, number of plot columns)
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35 | % ymin (numeric, minimum of y-axis)
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36 | % ymax (numeric, maximum of y-axis)
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37 | % zmin (numeric, minimum of z-axis)
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38 | % zmax (numeric, maximum of z-axis)
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39 | % cmin (numeric, minimum of colorbar)
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40 | % cmax (numeric, maximum of colorbar)
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41 | % smark (numeric, size of markers)
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42 | %
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43 | % for each response in the input array, this function plots a 3-d
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44 | % scatter plot. there should be no more than three variables.
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45 | % each response will be in a separate scatter plot; hence the
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46 | % need for nplotr and nplotc.
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47 | %
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48 | % dvar and dresp data would typically be contained in the dakota
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49 | % tabular output file from a sampling or parametric analysis, and
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50 | % read by dakota_out_parse.
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51 | %
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52 | % "Copyright 2009, by the California Institute of Technology.
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53 | % ALL RIGHTS RESERVED. United States Government Sponsorship
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54 | % acknowledged. Any commercial use must be negotiated with
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55 | % the Office of Technology Transfer at the California Institute
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56 | % of Technology. (J. Schiermeier, NTR 47078)
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57 | %
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58 | % This software may be subject to U.S. export control laws.
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59 | % By accepting this software, the user agrees to comply with
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60 | % all applicable U.S. export laws and regulations. User has the
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61 | % responsibility to obtain export licenses, or other export
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62 | % authority as may be required before exporting such information
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63 | % to foreign countries or providing access to foreign persons."
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64 | %
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65 | function []=plot_rvsv_scat3(varargin)
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66 |
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67 | if ~nargin
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68 | help plot_rvsv_scat3
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69 | return
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70 | end
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71 |
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72 | %% process input data and assemble into matrices as needed
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73 |
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74 | iarg=1;
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75 |
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76 | % variables
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77 |
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78 | if isstruct(varargin{iarg})
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79 | dvar=varargin{iarg};
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80 | iarg=iarg+1;
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81 |
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82 | % if iarg <= nargin && (iscell(varargin{iarg}) || ischar(varargin{iarg}))
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83 | if iarg <= nargin && iscell(varargin{iarg})
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84 | dvar=struc_desc(dvar,varargin{iarg});
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85 | iarg=iarg+1;
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86 | end
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87 |
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88 | descv=cell (1,length(dvar));
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89 | lsamp=zeros(1,length(dvar));
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90 | for i=1:length(dvar)
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91 | lsamp(i)=length(dvar(i).sample);
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92 | end
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93 | sampv=zeros(max(lsamp),length(dvar));
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94 | sampv(:,:)=NaN;
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95 |
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96 | for i=1:length(dvar)
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97 | descv(i)=cellstr(dvar(i).descriptor);
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98 | sampv(1:lsamp(i),i)=dvar(i).sample;
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99 | end
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100 | else
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101 | sampv=varargin{iarg};
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102 | iarg=iarg+1;
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103 |
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104 | if iarg <= nargin && iscell(varargin{iarg})
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105 | descv=varargin{iarg};
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106 | iarg=iarg+1;
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107 | % elseif iarg <= nargin && ischar(varargin{iarg})
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108 | % descv=cellstr(varargin{iarg});
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109 | % iarg=iarg+1;
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110 | else
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111 | descv=cell(1,size(sampv,2));
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112 | end
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113 | end
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114 |
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115 | for i=1:length(descv)
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116 | if isempty(descv{i})
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117 | descv(i)={['var_' i]};
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118 | end
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119 | end
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120 |
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121 | if (size(sampv,2) > 3)
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122 | error('No more than three variables required for 3-d scatter plot.');
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123 | end
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124 |
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125 | % responses
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126 |
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127 | if isstruct(varargin{iarg})
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128 | dresp=varargin{iarg};
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129 | iarg=iarg+1;
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130 |
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131 | % if iarg <= nargin && (iscell(varargin{iarg}) || ischar(varargin{iarg}))
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132 | if iarg <= nargin && iscell(varargin{iarg})
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133 | dresp=struc_desc(dresp,varargin{iarg});
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134 | iarg=iarg+1;
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135 | end
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136 |
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137 | descr=cell (1,length(dresp));
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138 | lsamp=zeros(1,length(dresp));
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139 | for i=1:length(dresp)
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140 | lsamp(i)=length(dresp(i).sample);
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141 | end
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142 | sampr=zeros(max(lsamp),length(dresp));
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143 | sampr(:,:)=NaN;
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144 |
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145 | for i=1:length(dresp)
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146 | descr(i)=cellstr(dresp(i).descriptor);
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147 | sampr(1:lsamp(i),i)=dresp(i).sample;
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148 | end
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149 | else
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150 | sampr=varargin{iarg};
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151 | iarg=iarg+1;
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152 |
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153 | if iarg <= nargin && iscell(varargin{iarg})
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154 | descr=varargin{iarg};
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155 | iarg=iarg+1;
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156 | % elseif iarg <= nargin && ischar(varargin{iarg})
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157 | % descr=cellstr(varargin{iarg});
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158 | % iarg=iarg+1;
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159 | else
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160 | descr=cell(1,size(sampr,2));
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161 | end
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162 | end
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163 |
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164 | for i=1:length(descr)
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165 | if isempty(descr{i})
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166 | descr(i)={['resp_' num2str(i)]};
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167 | end
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168 | end
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169 |
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170 | % parameters
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171 |
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172 | while (iarg <= nargin-1)
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173 | if ischar(varargin{iarg})
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174 | if ~isempty(strmatch(varargin{iarg},...
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175 | {'nplotr','nplotc',...
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176 | 'ymin','ymax','zmin','zmax',...
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177 | 'cmin','cmax','smark'},...
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178 | 'exact'))
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179 | eval([varargin{iarg} '=varargin{iarg+1};']);
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180 | disp([varargin{iarg} '=' any2str(varargin{iarg+1}) ';']);
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181 | else
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182 | warning([varargin{iarg} '=' any2str(varargin{iarg+1}) ' is not recognized.']);
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183 | end
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184 | else
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185 | error(['''' any2str(varargin{iarg}) ''' is not a parameter name.']);
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186 | end
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187 | iarg=iarg+2;
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188 | end
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189 |
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190 | if ~exist('nplotr','var') && ~exist('nplotc','var')
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191 | nplotr=ceil(sqrt(size(sampr,2)));
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192 | nplotc=ceil(size(sampr,2)/nplotr);
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193 | elseif ~exist('nplotr','var')
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194 | nplotr=ceil(size(sampr,2)/nplotc);
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195 | elseif ~exist('nplotc','var')
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196 | nplotc=ceil(size(sampr,2)/nplotr);
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197 | end
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198 |
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199 | if ~exist('smark','var')
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200 | smark=100;
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201 | end
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202 |
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203 | %% filter, sort, and plot the data
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204 |
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205 | figure
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206 | haxes =[];
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207 | hscat3=[];
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208 |
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209 | for iresp=1:size(sampr,2)
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210 |
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211 | % initialize the subplot
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212 |
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213 | haxes(end+1)=subplot(nplotr,nplotc,iresp);
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214 | switch size(sampv,2)
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215 | case 1
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216 | hscat3(end+1)=scatter (sampv(:,1),sampr(:,iresp),...
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217 | smark,sampr(:,iresp),'filled');
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218 | case 2
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219 | hscat3(end+1)=scatter3(sampv(:,1),sampv(:,2),sampr(:,iresp),...
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220 | smark,sampr(:,iresp),'filled');
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221 | case 3
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222 | hscat3(end+1)=scatter3(sampv(:,1),sampv(:,2),sampv(:,3),...
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223 | smark,sampr(:,iresp),'filled');
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224 | end
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225 |
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226 | ylim('auto')
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227 | [ylims]=ylim;
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228 | if exist('ymin','var')
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229 | ylims(1)=ymin;
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230 | end
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231 | if exist('ymax','var')
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232 | ylims(2)=ymax;
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233 | end
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234 | ylim(ylims)
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235 |
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236 | zlim('auto')
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237 | [zlims]=zlim;
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238 | if exist('zmin','var')
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239 | zlims(1)=zmin;
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240 | end
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241 | if exist('zmax','var')
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242 | zlims(2)=zmax;
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243 | end
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244 | zlim(zlims)
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245 |
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246 | % add the annotation
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247 |
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248 | switch size(sampv,2)
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249 | case 1
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250 | title([descr{iresp} ' wrt ' descv{1}],...
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251 | 'Interpreter','none');
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252 | xlabel(descv{1},'Interpreter','none');
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253 | ylabel(descr{iresp},'Interpreter','none');
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254 | case 2
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255 | title([descr{iresp} ' wrt ' descv{1} ' and ' descv{2}],...
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256 | 'Interpreter','none');
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257 | xlabel(descv{1},'Interpreter','none');
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258 | ylabel(descv{2},'Interpreter','none');
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259 | zlabel(descr{iresp},'Interpreter','none');
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260 | case 3
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261 | title([descr{iresp} ' wrt ' descv{1} ' and ' descv{2} ' and ' descv{3}],...
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262 | 'Interpreter','none');
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263 | xlabel(descv{1},'Interpreter','none');
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264 | ylabel(descv{2},'Interpreter','none');
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265 | zlabel(descv{3},'Interpreter','none');
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266 | end
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267 |
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268 | caxis('auto')
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269 | [cmini,cmaxi]=caxis;
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270 | if exist('cmin','var')
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271 | cmini=cmin;
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272 | end
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273 | if exist('cmax','var')
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274 | cmaxi=cmax;
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275 | end
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276 | caxis([cmini cmaxi])
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277 |
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278 | colorbar
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279 | end
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280 |
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281 | end
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