Christoph Budziszewski commited on 2009-01-21 16:34:25
Zeige 100 geänderte Dateien mit 31716 Einfügungen und 15 Löschungen.
git-svn-id: https://svn.discofish.de/MATLAB/spmtoolbox/SVMCrossVal@112 83ab2cfd-5345-466c-8aeb-2b2739fb922d
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+function classify(varargin) |
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+ |
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+ |
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+ |
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+switch nargin |
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+ case 1 |
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+ paramModel = varargin{1}; |
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+ % PROJECT_BASE_PATH = 'D:\Analyze\Stimolos'; |
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+ PROJECT_BASE_PATH = 'D:\Analyze\Choice\24pilot'; |
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+ PROJECT_RESULT_PATH = 'results\SPM.mat'; |
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+ otherwise |
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+ error('spmtoolbox:SVMCrossVal:arginError','Please Specify action and parameter model'); |
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+end |
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+ |
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+ |
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+ % common params |
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+ calculateParams = struct; |
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+ calculateParams.smoothed = getDouble(paramModel.txtSmoothed); |
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+ |
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+ calculateParams.frameShiftStart = getDouble(paramModel.txtFrameShiftStart); % -20; |
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+ calculateParams.frameShiftEnd = getDouble(paramModel.txtFrameShiftEnd); %15; |
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+ calculateParams.decodeDuration = getDouble(paramModel.txtFrameShiftDur); |
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+ calculateParams.psthStart = getDouble(paramModel.txtPSTHStart); % -25; |
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+ calculateParams.psthEnd = getDouble(paramModel.txtPSTHEnd); % 20; |
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+ calculateParams.baselineStart = getDouble(paramModel.txtBaselineStart); % -22; |
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+ calculateParams.baselineEnd = getDouble(paramModel.txtBaselineEnd); % -20; |
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+ |
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+ calculateParams.svmargs = get(paramModel.txtSVMopts,'String'); |
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+ calculateParams.sessionList = 1:3; |
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+ |
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+ classStruct = parseClassDef(paramModel); |
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+ |
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+ |
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+ calculateParams.labelMap = LabelMap(classStruct.labelCells , classStruct.conditionCells, 'auto'); % LabelMap({'<','>','<+<','>+>','<+>','>+<'},{-2,-1,1,2,3,4}); 0 is autolabel |
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+ calculateParams.classList = getClasses(calculateParams.labelMap); |
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+ calculateParams.eventList = classStruct.eventMatrix; %[9,11,13; 10,12,14]; |
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+% calculateParams.eventList = getPSTEventMatrix(calculateParams.labelMap); |
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+ |
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+ subjectSelection = getSubjectIDString(paramModel); |
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+ decode = struct; |
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+ decode.decodePerformance = []; |
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+ decode.rawTimeCourse = []; |
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+ |
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+ for subjectCell = subjectSelection |
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+ SubjectID = cell2mat(subjectCell); |
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+ namehelper = strcat('s',SubjectID); %Vars can not start with numbers. |
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+ |
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+ display('loading SPM.mat ...'); |
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+ spm = load(fullfile(PROJECT_BASE_PATH,SubjectID,PROJECT_RESULT_PATH)); |
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+ display('... done.'); |
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+ |
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+ %% calculate |
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+ calculateParams.(namehelper).des = spm.SPM; |
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+ calculateParams.(namehelper).voxelList = parseVoxelList(paramModel,SubjectID); |
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+ assignin('base','calculateParams',calculateParams); |
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+ |
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+ display(sprintf('calculating cross-validation performance time-shift for Subject %s. Please Wait. ...',SubjectID)); |
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+ display('switching off all warnings'); |
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+ warning_state = warning('off','all'); |
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+ display('calculating ...'); |
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+ decode.(namehelper) = calculateDecodePerformance(calculateParams,SubjectID); |
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+ display('... done'); |
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+ display('restoring warnings'); |
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+ warning(warning_state); |
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+ |
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+ decode.decodePerformance = [decode.decodePerformance decode.(namehelper).decodePerformance]; |
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+ decode.rawTimeCourse = [decode.rawTimeCourse decode.(namehelper).rawTimeCourse]; |
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+ |
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+ assignin('base','decode',decode); |
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+ end |
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+ |
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+ display('Finished calculations.'); |
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+ display('Plotting...'); |
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+ |
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+ plotParams = struct; |
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+ plotParams.psthStart = calculateParams.psthStart; |
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+ plotParams.psthEnd = calculateParams.psthEnd; |
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+ plotParams.nClasses = length(calculateParams.classList); |
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+ |
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+ plotParams.frameShiftStart = calculateParams.frameShiftStart; |
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+ plotParams.frameShiftEnd = calculateParams.frameShiftEnd; |
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+ plotParams.decodePerformance = decode.decodePerformance; |
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+ plotParams.rawTimeCourse = decode.rawTimeCourse; |
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+ |
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+ if numel(subjectSelection) == 1 |
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+ plotParams.SubjectID = SubjectID; |
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+ else |
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+ plotParams.SubjectID = 'Multiple'; |
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+ end |
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+ |
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+ plotParams.smoothed = boolToYesNoString(calculateParams.smoothed); |
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+ |
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+ |
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+ assignin('base','plotParams',plotParams); |
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+% plotDecodePerformance(params.psthStart,params.psthEnd,params.nClasses,decode.decodeTable,params.frameShiftStart,params.frameShiftEnd,decode.rawTimeCourse); |
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+ plotDecodePerformance(plotParams); |
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+ |
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+ display('all done.'); |
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+ |
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+ end |
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\ No newline at end of file |
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@@ -0,0 +1,103 @@ |
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+function plotDecodePerformance(varargin) |
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+% plotDecodePerformance(timeline,decodePerformance,nClasses,rawData) |
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+ |
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+PSTH_AXIS_MIN = -1; |
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+PSTH_AXIS_MAX = 1; |
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+ |
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+switch nargin |
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+ |
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+ case 1 |
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+ inputStruct = cell2mat(varargin(1)); |
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+ |
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+ psthStart = inputStruct.psthStart; |
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+ psthEnd = inputStruct.psthEnd; |
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+ nClasses = inputStruct.nClasses; |
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+ decodePerformance = inputStruct.decodePerformance; |
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+ frameStart = inputStruct.frameShiftStart; |
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+ frameEnd = inputStruct.frameShiftEnd; |
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+ psth = inputStruct.rawTimeCourse; |
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+ SubjectID = inputStruct.SubjectID; |
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+ smoothed = inputStruct.smoothed; |
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+ |
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+ otherwise |
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+ error('spmtoolbox:SVMCrossVal:plotDecodePerformance:WrongArgument','Wrong Arguments'); |
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+end |
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+ |
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+ f = figure; |
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+ subplot(2,1,1); |
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+ hold on; |
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+ for voxel = 1:size(psth,2) |
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+ for label = 1:size(psth{voxel},2) |
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+ psthData = []; |
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+ for timepoint = 1:size(psth{voxel}{label},2) |
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+ psthData = nanmean(psth{voxel}{label}); |
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+ end |
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+ plot(psthStart:psthEnd,psthData,[colorChooser(voxel), lineStyleChooser(label)]); |
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+ end |
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+ end |
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+ axis([psthStart psthEnd PSTH_AXIS_MIN PSTH_AXIS_MAX]) |
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+ hold off |
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+ |
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+ subplot(2,1,2) |
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+ hold on; |
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+ |
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+ chanceLevel = 100/nClasses; |
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+ goodPredictionLevel = chanceLevel*1.5; |
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+ plot([psthStart psthEnd],[chanceLevel chanceLevel],'r'); |
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+ plot([psthStart psthEnd],[goodPredictionLevel goodPredictionLevel],'g'); |
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+ axis([psthStart psthEnd 0 100]) |
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+ |
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+ plot(frameStart:frameEnd, mean(decodePerformance,2) ,'b'); |
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+ PLOT_STD_ERR = 1; |
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+ PLOT_CLASS_PERFORMANCE = 1; |
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+ if PLOT_STD_ERR |
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+ se = myStdErr(decodePerformance,2); |
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+ plot(frameStart:frameEnd, mean(decodePerformance,2)+se ,'b:'); |
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+ plot(frameStart:frameEnd, mean(decodePerformance,2)-se ,'b:'); |
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+ end |
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+ if PLOT_CLASS_PERFORMANCE |
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+ for c = 1:nClasses |
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+ plot(frameStart:frameEnd, decodePerformance() ,[colorChooser(c+2) '-']); |
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+ end |
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+ end |
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+ |
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+ |
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+ hold off; |
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+ |
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+ title = sprintf('Subject %s, over %g voxel, smoothed %s',SubjectID,size(psth,2),smoothed); |
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+ set(f,'Name',title); |
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+ display(sprintf('%s',title)); |
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+ |
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+ |
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+ |
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+end |
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+ |
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+ |
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+function color = colorChooser(n) |
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+ switch (mod(n,8)) |
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+ case 0 |
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+ color = 'y'; |
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+ case 1 |
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+ color = 'r'; |
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+ case 2 |
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+ color = 'b'; |
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+ case 3 |
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+ color = 'g'; |
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+ otherwise |
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+ color = 'k'; |
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+ end |
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+end |
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+ |
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+function style = lineStyleChooser(n) |
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+switch(mod(n,4)) |
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+ case 0 |
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+ style = '--'; |
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+ case 1 |
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+ style = '-'; |
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+ case 2 |
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+ style = ':'; |
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+ case 3 |
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+ style = '-.'; |
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+end |
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+end |
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+ |
... | ... |
@@ -43,14 +43,28 @@ end |
43 | 43 |
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44 | 44 |
chanceLevel = 100/nClasses; |
45 | 45 |
goodPredictionLevel = chanceLevel*1.5; |
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- plot([psthStart psthEnd],[chanceLevel chanceLevel],'r'); |
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- plot([psthStart psthEnd],[goodPredictionLevel goodPredictionLevel],'g'); |
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+ plot([psthStart psthEnd],[chanceLevel chanceLevel],'k:'); |
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+ plot([psthStart psthEnd],[goodPredictionLevel goodPredictionLevel],'k:'); |
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axis([psthStart psthEnd 0 100]) |
49 | 49 |
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+ |
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+ PLOT_EXTRAS = 'class performance' |
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+ |
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+ switch PLOT_EXTRAS |
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+ case 'stderr' |
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plot(frameStart:frameEnd, mean(decodePerformance,2) ,'b'); |
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+ |
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se = myStdErr(decodePerformance,2); |
52 | 58 |
plot(frameStart:frameEnd, mean(decodePerformance,2)+se ,'b:'); |
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plot(frameStart:frameEnd, mean(decodePerformance,2)-se ,'b:'); |
60 |
+ case 'class performance' |
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+ for c = 1:size(decodePerformance,2) |
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+ plot(frameStart:frameEnd, decodePerformance(:,c) ,[colorChooser(mod(c,nClasses)+3) '-']); |
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+ end |
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+ |
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+ plot(frameStart:frameEnd, mean(decodePerformance,2) ,'b','LineWidth',2); |
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+ |
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+ end |
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55 | 69 |
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hold off; |
... | ... |
@@ -67,13 +81,17 @@ end |
67 | 81 |
function color = colorChooser(n) |
68 | 82 |
switch (mod(n,8)) |
69 | 83 |
case 0 |
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- color = 'y'; |
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- case 1 |
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color = 'r'; |
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+ case 1 |
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+ color = 'g'; |
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case 2 |
74 | 88 |
color = 'b'; |
75 | 89 |
case 3 |
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- color = 'g'; |
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+ color = 'c'; |
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+ case 4 |
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+ color = 'm'; |
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+ case 5 |
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+ color = 'y'; |
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77 | 95 |
otherwise |
78 | 96 |
color = 'k'; |
79 | 97 |
end |
... | ... |
@@ -59,33 +59,38 @@ maxPerformance = -inf; |
59 | 59 |
svmlabel = svmlabel(rndindex); |
60 | 60 |
end |
61 | 61 |
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- SVM_METHOD = 2; |
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+ SVM_METHOD = 'class performance' |
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63 | 63 |
switch SVM_METHOD; |
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- case 1 |
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+ case 'libsvm crossval' |
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65 | 65 |
performance = svmtrain(svmlabel, svmdata, svmargs); |
66 | 66 |
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67 | 67 |
minPerformance = min(minPerformance,performance); |
68 | 68 |
maxPerformance = max(maxPerformance,performance); |
69 | 69 |
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70 | 70 |
decodePerformance = [decodePerformance; performance]; |
71 |
- case 2 |
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+ case 'class performance' |
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newsvmopt = killCrossvalOpt(svmargs); |
73 | 73 |
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model = svmtrain(svmlabel,svmdata,newsvmopt); |
75 | 75 |
classperformance = []; |
76 | 76 |
for class = unique(svmlabel)'; |
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-% assignin('base','uniquelabel',unique(svmlabel)); |
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-% assignin('base','class',class); |
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-% assignin('base','svmlabel',svmlabel); |
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+ |
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filterindex = find(class == svmlabel); |
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- testing_label = svmlabel(filterindex) |
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- testing_data = svmdata(filterindex) |
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- [plabel accuracy dvalue] = svmpredict(testing_label,testing_data,model,'') |
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-% assignin('base','accuracy',accuracy); |
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+ testing_label = svmlabel(filterindex); |
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+ testing_data = svmdata(filterindex); |
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+ [plabel accuracy dvalue] = svmpredict(testing_label,testing_data,model,''); |
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+ |
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85 | 83 |
classperformance = [classperformance accuracy(1)]; |
86 | 84 |
end |
87 | 85 |
decodePerformance = [decodePerformance; classperformance]; |
88 | 86 |
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+ case 'som training' |
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+ display('SOM TRAINING'); |
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+ addpath 'somtoolbox2'; |
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+ sD = som_data_struct(svmdata); |
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+ assignin('base','sD',sD); |
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+ sM = som_make(sD,'msize', [3 4],'lattice', 'rect'); |
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+ |
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89 | 94 |
end |
90 | 95 |
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91 | 96 |
end |
... | ... |
@@ -0,0 +1,196 @@ |
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+% SOM Toolbox |
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+% Version 2.0beta, May 30 2002 |
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+% |
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+% Copyright 1997-2000 by |
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+% Esa Alhoniemi, Johan Himberg, Juha Parhankangas and Juha Vesanto |
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+% Contributed files may contain copyrights of their own. |
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+% |
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+% SOM Toolbox comes with ABSOLUTELY NO WARRANTY; for details |
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+% see License.txt in the program package. This is free software, |
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+% and you are welcome to redistribute it under certain conditions; |
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+% see License.txt for details. |
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+% |
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+% |
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+% Demos |
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+% |
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+% som_demo1 SOM Toolbox demo 1: basic properties |
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+% som_demo2 SOM Toolbox demo 2: basic usage |
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+% som_demo3 SOM Toolbox demo 3: visualization |
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+% som_demo4 SOM Toolbox demo 4: data analysis |
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+% |
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+% Creation of structs |
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+% |
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+% som_set create & set (& check) values to structs |
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+% som_info print out information on a given struct |
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+% som_data_struct create & initialize a data struct |
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+% som_map_struct create & initialize a map struct |
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+% som_topol_struct create & initialize a topology struct |
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+% som_train_struct create & initialize a train struct |
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+% som_clstruct create a cluster struct |
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+% som_clset set properties in a cluster struct |
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+% som_clget get stuff from a cluster struct |
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+% |
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+% Struct conversion and file I/O |
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+% |
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+% som_vs1to2 converts a version 1.0 struct to version 2.0 struct |
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+% som_vs2to1 converts a version 2.0 struct to version 1.0 struct |
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+% som_read_data reads a (SOM_PAK format) ASCII data file |
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+% som_write_data writes a SOM_PAK format codebook file |
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+% som_write_cod writes a SOM_PAK format data file |
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+% som_read_cod reads a SOM_PAK format codebook file |
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+% |
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+% Data preprocessing |
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+% |
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+% som_normalize normalize data set |
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+% som_denormalize denormalize data set |
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+% som_norm_variable (de)normalize one variable |
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+% preprocess preprocessing GUI |
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+% |
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+% Initialization and training functions |
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+% |
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+% som_make create, initialize and train a SOM |
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+% som_randinit random initialization algorithm |
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+% som_lininit linear initialization algorithm |
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+% som_seqtrain sequential training algorithm |
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+% som_batchtrain batch training algorithm |
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+% som_gui SOM initialization and training GUI |
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+% som_prototrain a simple version of sequential training: easy to modify |
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+% |
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+% Clustering algorithms |
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+% |
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+% som_kmeans k-means algorithm (was earlier kmeans) |
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+% kmeans_clusters try and evaluate several k-means clusterings |
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+% neural_gas neural gas vector quantization algorithm |
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+% som_linkage hierarchical clustering algorithms |
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+% som_cllinkage hierarchical clustering of SOM |
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+% som_dmatminima local minima from distance (or U-) matrix |
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+% som_dmatclusters distance (or U-) matrix based clustering |
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+% som_clspread spreads clusters to unassinged map units |
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+% som_cldist calculate distances between clusters |
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+% som_gapindex gap validity index of clustering |
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+% db_index Davies-Bouldin validity index of clustering |
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+% |
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+% Supervised/classification algorithms |
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+% |
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+% som_supervised supervised SOM algorithm |
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+% lvq1 LVQ1 algorithm |
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+% lvq3 LVQ3 algorithm |
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+% knn k-NN classification algorithm |
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+% knn_old k-NN classification algorithm (old version) |
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+% |
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+% SOM error measures |
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+% |
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+% som_quality quantization and topographic error of SOM |
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+% som_distortion SOM distortion measure |
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+% som_distortion3 elements of the SOM distortion measure |
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+% |
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+% Auxiliary functions |
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+% |
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+% som_bmus calculates BMUs for given data vectors |
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+% som_eucdist2 pairwise squared euclidian distances between vectors |
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+% som_mdist calculates pairwise distances between vectors |
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+% som_divide extract subsets of data based on map |
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+% som_label give labels to map units |
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+% som_label2num rcodes string data labels to interger class labels |
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+% som_autolabel automatically labels the SOM based on given data |
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+% som_unit_coords calculates coordinates in output space for map units |
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+% som_unit_dists distances in output space between map units |
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+% som_unit_neighs units in 1-neighborhood for each map unit |
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+% som_neighborhood calculates neighborhood matrix for the given map |
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+% som_neighbors calculates different kinds of neighborhoods |
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+% som_neighf calculates neighborhood function values |
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+% som_select GUI for manual selection of map units |
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+% som_estimate_gmm create Gaussian mixture model on top of SOM |
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+% som_probability_gmm evaluate Gaussian mixture model |
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+% som_ind2sub from linear index to subscript index |
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+% som_sub2ind from subscript index to linear index |
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+% som_ind2cod from linear index to SOM_PAK linear index |
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+% som_cod2ind from SOM_linear index to SOM_PAK linear index |
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+% nanstats mean, std and median which ignore NaNs |
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+% som_modify_dataset add, remove, or extract samples and components |
|
111 |
+% som_fillnans fill NaNs in a data set based on given SOM |
|
112 |
+% som_stats statistics of a data set |
|
113 |
+% som_drmake calculate descriptive rules for a cluster |
|
114 |
+% som_dreval evaluate descriptive rules for a cluster |
|
115 |
+% som_drsignif rule significance measures |
|
116 |
+% |
|
117 |
+% Using SOM_PAK from Matlab |
|
118 |
+% |
|
119 |
+% som_sompaktrain uses SOM_PAK to train a map |
|
120 |
+% sompak_gui GUI for using SOM_PAK from Matlab |
|
121 |
+% sompak_init call SOM_PAK's initialization programs from Matlab |
|
122 |
+% sompak_init_gui GUI for using SOM_PAK's initialization from Matlab |
|
123 |
+% sompak_rb_control an auxiliary function for sompak_*_gui functions. |
|
124 |
+% sompak_sammon call SOM_PAK's Sammon program from Matlab |
|
125 |
+% sompak_sammon_gui GUI for using SOM_PAK's Sammon program from Matlab |
|
126 |
+% sompak_train call SOM_PAK's training program from Matlab |
|
127 |
+% sompak_train_gui GUI for using SOM_PAK's training program from Matlab |
|
128 |
+% |
|
129 |
+% Visualization |
|
130 |
+% |
|
131 |
+% som_show basic visualization |
|
132 |
+% som_show_add add labels, hits and trajectories |
|
133 |
+% som_show_clear remove extra markers |
|
134 |
+% som_recolorbar refresh/reconfigure colorbars |
|
135 |
+% som_show_gui GUI for using som_show and associated functions |
|
136 |
+% som_grid visualization of SOM grid |
|
137 |
+% som_cplane component planes and U-matrices |
|
138 |
+% som_barplane bar chart visualization of map |
|
139 |
+% som_pieplane pie chart visualization of map |
|
140 |
+% som_plotplane plot chart visualization of map |
|
141 |
+% som_trajectory launches a GUI for presenting comet-trajectories |
|
142 |
+% som_dendrogram visualization of clustering tree |
|
143 |
+% som_plotmatrix pairwise scatter plots and histograms |
|
144 |
+% som_order_cplanes order and visualize the component planes |
|
145 |
+% som_clplot plots of clusters (based on cluster struct) |
|
146 |
+% som_projections_plot projections plots (see som_projections) |
|
147 |
+% som_stats_plot plots of statistics (see som_stats) |
|
148 |
+% |
|
149 |
+% Auxiliary functions for visualization |
|
150 |
+% |
|
151 |
+% hits calculates hits, or sum of values for each map unit |
|
152 |
+% som_hits calculates the response of data on the map |
|
153 |
+% som_umat calculates the U-matrix |
|
154 |
+% cca curvilinear component analysis projection algorithm |
|
155 |
+% pcaproj principal component projection algorithm |
|
156 |
+% sammon Sammon's mapping projection algorithm |
|
157 |
+% som_connection connection matrix for map |
|
158 |
+% som_vis_coords map unit coordinates used in visualizations |
|
159 |
+% som_colorcode create color coding for map/2D data |
|
160 |
+% som_bmucolor colors of the BMUs from a given map color code |
|
161 |
+% som_normcolor simulate indexed colormap |
|
162 |
+% som_clustercolor color coding which depends on clustering structure |
|
163 |
+% som_kmeanscolor color coding according to k-means clustering |
|
164 |
+% som_kmeanscolor2 a newer version of the som_kmeanscolor function |
|
165 |
+% som_fuzzycolor a fuzzy color coding |
|
166 |
+% som_coloring a SOM-based color coding |
|
167 |
+% som_projections calculates a default set of projections |
|
168 |
+% |
|
169 |
+% Report generation stuff |
|
170 |
+% |
|
171 |
+% som_table_struct creates a table struct |
|
172 |
+% som_table_modify modifies a table struct |
|
173 |
+% som_table_print print a table in various formats |
|
174 |
+% rep_utils various utilities for printing report elements |
|
175 |
+% som_stats_table a table of data set statistics |
|
176 |
+% som_stats_report report on data set statistics |
|
177 |
+% |
|
178 |
+% Low level routines used by visualization functions |
|
179 |
+% |
|
180 |
+% vis_patch defines hexagonal and rectangular patches |
|
181 |
+% vis_som_show_data returns UserData and subplot handles stored by som_show.m |
|
182 |
+% vis_valuetype used for type checks |
|
183 |
+% vis_footnote adds a movable text to the current figure |
|
184 |
+% vis_trajgui the actual GUI started by som_trajectory.m |
|
185 |
+% vis_PlaneAxisProperties set axis properties in visualization functions |
|
186 |
+% vis_footnoteButtonDownFcn callback function for vis_footnote.m |
|
187 |
+% vis_planeGetArgs converts topol struct to lattice, msize argument pair |
|
188 |
+% vis_show_gui_comp internal function used by som_show_gui.m |
|
189 |
+% vis_show_gui_tool internal function used by som_show_gui.m |
|
190 |
+% |
|
191 |
+% Other |
|
192 |
+% |
|
193 |
+% somtoolbox this file |
|
194 |
+% iris.data IRIS data set (used in demos) |
|
195 |
+% License.txt GNU General Public License |
|
196 |
+% Copyright.txt Copyright notice |
... | ... |
@@ -0,0 +1,55 @@ |
1 |
+COPYRIGHT |
|
2 |
+--------- |
|
3 |
+ |
|
4 |
+SOM Toolbox 2.0, a software library for Matlab 5 implementing the |
|
5 |
+Self-Organizing Map algorithm is Copyright (C) 1999 by Esa Alhoniemi, |
|
6 |
+Johan Himberg, Jukka Parviainen and Juha Vesanto. |
|
7 |
+ |
|
8 |
+This package is free software; you can redistribute it and/or |
|
9 |
+modify it under the terms of the GNU General Public License |
|
10 |
+as published by the Free Software Foundation; either version 2 |
|
11 |
+of the License, or any later version. |
|
12 |
+ |
|
13 |
+Note: only part of the files distributed in the package belong to the |
|
14 |
+SOM Toolbox. The package also contains contributed files, which may |
|
15 |
+have their own copyright notices. If not, the GNU General Public |
|
16 |
+License holds for them, too, but so that the author(s) of the file |
|
17 |
+have the Copyright. |
|
18 |
+ |
|
19 |
+This package is distributed in the hope that it will be useful, |
|
20 |
+but WITHOUT ANY WARRANTY; without even the implied warranty of |
|
21 |
+MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
|
22 |
+GNU General Public License for more details. |
|
23 |
+ |
|
24 |
+You should have received a copy of the GNU General Public License |
|
25 |
+along with this package (file License.txt); if not, write to the Free |
|
26 |
+Software Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA |
|
27 |
+02111-1307, USA. |
|
28 |
+ |
|
29 |
+ |
|
30 |
+LICENSING THE LIBRARY FOR PROPRIETARY PROGRAMS |
|
31 |
+---------------------------------------------- |
|
32 |
+ |
|
33 |
+As stated in the GNU General Public License (see License.txt) it is |
|
34 |
+not possible to include this software library in a commercial |
|
35 |
+proprietary program without written permission from the owners of the |
|
36 |
+copyright. If you wish to obtain such permission, you can reach us by |
|
37 |
+paper mail: |
|
38 |
+ |
|
39 |
+ SOM Toolbox team |
|
40 |
+ Laboratory of Computer and Information Science |
|
41 |
+ P.O.Box 5400 |
|
42 |
+ FIN-02015 HUT |
|
43 |
+ Finland |
|
44 |
+ Europe |
|
45 |
+ |
|
46 |
+and by email: |
|
47 |
+ |
|
48 |
+ somtlbx@mail.cis.hut.fi |
|
49 |
+ |
|
50 |
+ |
|
51 |
+ |
|
52 |
+ |
|
53 |
+ |
|
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+ |
|
55 |
+ |
... | ... |
@@ -0,0 +1,386 @@ |
1 |
+GNU GENERAL PUBLIC LICENSE |
|
2 |
+ |
|
3 |
+Version 2, June 1991 |
|
4 |
+ |
|
5 |
+Copyright (C) 1989, 1991 Free Software Foundation, Inc. |
|
6 |
+59 Temple Place - Suite 330, Boston, MA 02111-1307, USA |
|
7 |
+ |
|
8 |
+Everyone is permitted to copy and distribute verbatim copies |
|
9 |
+of this license document, but changing it is not allowed. |
|
10 |
+ |
|
11 |
+------------------------------------------------------------------------ |
|
12 |
+ |
|
13 |
+Preamble |
|
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+ |
|
15 |
+ The licenses for most software are designed to take away your |
|
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+freedom to share and change it. By contrast, the GNU General Public |
|
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+License is intended to guarantee your freedom to share and change free |
|
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+software--to make sure the software is free for all its users. This |
|
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+General Public License applies to most of the Free Software |
|
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+Foundation's software and to any other program whose authors commit to |
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+using it. (Some other Free Software Foundation software is covered by |
|
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+the GNU Library General Public License instead.) You can apply it to |
|
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+your programs, too. |
|
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+ |
|
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+ When we speak of free software, we are referring to freedom, not |
|
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+price. Our General Public Licenses are designed to make sure that you |
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+have the freedom to distribute copies of free software (and charge for |
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+this service if you wish), that you receive source code or can get it |
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+if you want it, that you can change the software or use pieces of it |
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+in new free programs; and that you know you can do these things. |
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+ To protect your rights, we need to make restrictions that forbid |
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+anyone to deny you these rights or to ask you to surrender the rights. |
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+These restrictions translate to certain responsibilities for you if you |
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+distribute copies of the software, or if you modify it. |
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+ |
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+ For example, if you distribute copies of such a program, whether |
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+you have. You must make sure that they, too, receive or can get the |
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+source code. And you must show them these terms so they know their |
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+rights. |
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+ We protect your rights with two steps: (1) copyright the software, and |
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+(2) offer you this license which gives you legal permission to copy, |
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+ Finally, any free program is threatened constantly by software |
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+ The precise terms and conditions for copying, distribution and |
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+modification follow. |
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+ |
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+--------------------------------------------------------------------- |
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+ |
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+TERMS AND CONDITIONS FOR COPYING, DISTRIBUTION AND MODIFICATION |
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+0. |
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+This License applies to any program or other work which contains a |
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+the limitation as if written in the body of this License. |
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+ |
|
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+9. |
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+ |
|
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+The Free Software Foundation may publish revised and/or new versions |
|
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+of the General Public License from time to time. Such new versions |
|
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+will be similar in spirit to the present version, but may differ in |
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+detail to address new problems or concerns. |
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+ |
|
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+Each version is given a distinguishing version number. If the Program |
|
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+specifies a version number of this License which applies to it and |
|
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+"any later version", you have the option of following the terms and |
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+conditions either of that version or of any later version published by |
|
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+the Free Software Foundation. If the Program does not specify a |
|
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+version number of this License, you may choose any version ever |
|
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+published by the Free Software Foundation. |
|
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+ |
|
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+10. |
|
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+ |
|
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+If you wish to incorporate parts of the Program into other free |
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+programs whose distribution conditions are different, write to the |
|
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+author to ask for permission. For software which is copyrighted by |
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+the Free Software Foundation, write to the Free Software Foundation; |
|
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+we sometimes make exceptions for this. Our decision will be guided by |
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+the two goals of preserving the free status of all derivatives of our |
|
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+free software and of promoting the sharing and reuse of software |
|
285 |
+generally. |
|
286 |
+ |
|
287 |
+NO WARRANTY |
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+ |
|
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+11. |
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+ |
|
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+BECAUSE THE PROGRAM IS LICENSED FREE OF CHARGE, THERE IS NO WARRANTY |
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+FOR THE PROGRAM, TO THE EXTENT PERMITTED BY APPLICABLE LAW. EXCEPT |
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+WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT HOLDERS AND/OR OTHER |
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+PROGRAM IS WITH YOU. SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME |
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+THE COST OF ALL NECESSARY SERVICING, REPAIR OR CORRECTION. |
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+ |
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+12. |
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+ |
|
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+IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING |
|
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+WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MAY MODIFY AND/OR |
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+INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD PARTIES OR A FAILURE OF |
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+OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES. |
|
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+ |
|
313 |
+END OF TERMS AND CONDITIONS |
|
314 |
+ |
|
315 |
+----------------------------------------------------------------------- |
|
316 |
+ |
|
317 |
+How to Apply These Terms to Your New Programs |
|
318 |
+ |
|
319 |
+If you develop a new program, and you want it to be of the greatest |
|
320 |
+possible use to the public, the best way to achieve this is to make it |
|
321 |
+free software which everyone can redistribute and change under these |
|
322 |
+terms. |
|
323 |
+ |
|
324 |
+To do so, attach the following notices to the program. It is safest |
|
325 |
+to attach them to the start of each source file to most effectively |
|
326 |
+convey the exclusion of warranty; and each file should have at least |
|
327 |
+the "copyright" line and a pointer to where the full notice is found. |
|
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+ |
|
329 |
+one line to give the program's name and an idea of what it does. |
|
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+Copyright (C) 20<yy> <name of author> |
|
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+ |
|
332 |
+This program is free software; you can redistribute it and/or modify |
|
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+it under the terms of the GNU General Public License as published by |
|
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+the Free Software Foundation; either version 2 of the License, or (at |
|
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+your option) any later version. |
|
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+ |
|
337 |
+This program is distributed in the hope that it will be useful, but |
|
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+WITHOUT ANY WARRANTY; without even the implied warranty of |
|
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+MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU |
|
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+General Public License for more details. |
|
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+ |
|
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+You should have received a copy of the GNU General Public License |
|
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+along with this program; if not, write to the Free Software |
|
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+Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, |
|
345 |
+USA. |
|
346 |
+ |
|
347 |
+Also add information on how to contact you by electronic and paper mail. |
|
348 |
+ |
|
349 |
+If the program is interactive, make it output a short notice like this |
|
350 |
+when it starts in an interactive mode: |
|
351 |
+ |
|
352 |
+ Gnomovision version 69, Copyright (C) 20<yy> <name of author> |
|
353 |
+ Gnomovision comes with ABSOLUTELY NO WARRANTY; for details type `show |
|
354 |
+ w'. This is free software, and you are welcome to redistribute it |
|
355 |
+ under certain conditions; type `show c' for details. |
|
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+ |
|
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+The hypothetical commands `show w' and `show c' should show the |
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+appropriate parts of the General Public License. Of course, the |
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+commands you use may be called something other than `show w' and `show |
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+c'; they could even be mouse-clicks or menu items--whatever suits your |
|
361 |
+program. |
|
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+ |
|
363 |
+You should also get your employer (if you work as a programmer) or |
|
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+your school, if any, to sign a "copyright disclaimer" for the program, |
|
365 |
+if necessary. Here is a sample; alter the names: |
|
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+ |
|
367 |
+ Yoyodyne, Inc., hereby disclaims all copyright |
|
368 |
+ interest in the program `Gnomovision' |
|
369 |
+ (which makes passes at compilers) written |
|
370 |
+ by James Hacker. |
|
371 |
+ |
|
372 |
+ <signature of Ty Coon>, 1 April 1989 |
|
373 |
+ Ty Coon, President of Vice |
|
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+ |
|
375 |
+This General Public License does not permit incorporating your program |
|
376 |
+into proprietary programs. If your program is a subroutine library, |
|
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+you may consider it more useful to permit linking proprietary |
|
378 |
+applications with the library. If this is what you want to do, use |
|
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+the GNU Library General Public License instead of this License. |
|
380 |
+ |
|
381 |
+FSF & GNU inquiries & questions to gnu@prep.ai.mit.edu. |
|
382 |
+ |
|
383 |
+Copyright notice above. |
|
384 |
+Free Software Foundation, Inc., |
|
385 |
+59 Temple Place - Suite 330, Boston, MA 02111, USA |
|
386 |
+ |
... | ... |
@@ -0,0 +1,282 @@ |
1 |
+function [P] = cca(D, P, epochs, Mdist, alpha0, lambda0) |
|
2 |
+ |
|
3 |
+%CCA Projects data vectors using Curvilinear Component Analysis. |
|
4 |
+% |
|
5 |
+% P = cca(D, P, epochs, [Dist], [alpha0], [lambda0]) |
|
6 |
+% |
|
7 |
+% P = cca(D,2,10); % projects the given data to a plane |
|
8 |
+% P = cca(D,pcaproj(D,2),5); % same, but with PCA initialization |
|
9 |
+% P = cca(D, 2, 10, Dist); % same, but the given distance matrix is used |
|
10 |
+% |
|
11 |
+% Input and output arguments ([]'s are optional): |
|
12 |
+% D (matrix) the data matrix, size dlen x dim |
|
13 |
+% (struct) data or map struct |
|
14 |
+% P (scalar) output dimension |
|
15 |
+% (matrix) size dlen x odim, the initial projection |
|
16 |
+% epochs (scalar) training length |
|
17 |
+% [Dist] (matrix) pairwise distance matrix, size dlen x dlen. |
|
18 |
+% If the distances in the input space should |
|
19 |
+% be calculated otherwise than as euclidian |
|
20 |
+% distances, the distance from each vector |
|
21 |
+% to each other vector can be given here, |
|
22 |
+% size dlen x dlen. For example PDIST |
|
23 |
+% function can be used to calculate the |
|
24 |
+% distances: Dist = squareform(pdist(D,'mahal')); |
|
25 |
+% [alpha0] (scalar) initial step size, 0.5 by default |
|
26 |
+% [lambda0] (scalar) initial radius of influence, 3*max(std(D)) by default |
|
27 |
+% |
|
28 |
+% P (matrix) size dlen x odim, the projections |
|
29 |
+% |
|
30 |
+% Unknown values (NaN's) in the data: projections of vectors with |
|
31 |
+% unknown components tend to drift towards the center of the |
|
32 |
+% projection distribution. Projections of totally unknown vectors are |
|
33 |
+% set to unknown (NaN). |
|
34 |
+% |
|
35 |
+% See also SAMMON, PCAPROJ. |
|
36 |
+ |
|
37 |
+% Reference: Demartines, P., Herault, J., "Curvilinear Component |
|
38 |
+% Analysis: a Self-Organizing Neural Network for Nonlinear |
|
39 |
+% Mapping of Data Sets", IEEE Transactions on Neural Networks, |
|
40 |
+% vol 8, no 1, 1997, pp. 148-154. |
|
41 |
+ |
|
42 |
+% Contributed to SOM Toolbox 2.0, February 2nd, 2000 by Juha Vesanto |
|
43 |
+% Copyright (c) by Juha Vesanto |
|
44 |
+% http://www.cis.hut.fi/projects/somtoolbox/ |
|
45 |
+ |
|
46 |
+% juuso 171297 040100 |
|
47 |
+ |
|
48 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
49 |
+%% Check arguments |
|
50 |
+ |
|
51 |
+error(nargchk(3, 6, nargin)); % check the number of input arguments |
|
52 |
+ |
|
53 |
+% input data |
|
54 |
+if isstruct(D), |
|
55 |
+ if strcmp(D.type,'som_map'), D = D.codebook; else D = D.data; end |
|
56 |
+end |
|
57 |
+[noc dim] = size(D); |
|
58 |
+noc_x_1 = ones(noc, 1); % used frequently |
|
59 |
+me = zeros(1,dim); st = zeros(1,dim); |
|
60 |
+for i=1:dim, |
|
61 |
+ me(i) = mean(D(find(isfinite(D(:,i))),i)); |
|
62 |
+ st(i) = std(D(find(isfinite(D(:,i))),i)); |
|
63 |
+end |
|
64 |
+ |
|
65 |
+% initial projection |
|
66 |
+if prod(size(P))==1, |
|
67 |
+ P = (2*rand(noc,P)-1).*st(noc_x_1,1:P) + me(noc_x_1,1:P); |
|
68 |
+else |
|
69 |
+ % replace unknown projections with known values |
|
70 |
+ inds = find(isnan(P)); P(inds) = rand(size(inds)); |
|
71 |
+end |
|
72 |
+[dummy odim] = size(P); |
|
73 |
+odim_x_1 = ones(odim, 1); % this is used frequently |
|
74 |
+ |
|
75 |
+% training length |
|
76 |
+train_len = epochs*noc; |
|
77 |
+ |
|
78 |
+% random sample order |
|
79 |
+rand('state',sum(100*clock)); |
|
80 |
+sample_inds = ceil(noc*rand(train_len,1)); |
|
81 |
+ |
|
82 |
+% mutual distances |
|
83 |
+if nargin<4 | isempty(Mdist) | all(isnan(Mdist(:))), |
|
84 |
+ fprintf(2, 'computing mutual distances\r'); |
|
85 |
+ dim_x_1 = ones(dim,1); |
|
86 |
+ for i = 1:noc, |
|
87 |
+ x = D(i,:); |
|
88 |
+ Diff = D - x(noc_x_1,:); |
|
89 |
+ N = isnan(Diff); |
|
90 |
+ Diff(find(N)) = 0; |
|
91 |
+ Mdist(:,i) = sqrt((Diff.^2)*dim_x_1); |
|
92 |
+ N = find(sum(N')==dim); %mutual distance unknown |
|
93 |
+ if ~isempty(N), Mdist(N,i) = NaN; end |
|
94 |
+ end |
|
95 |
+else |
|
96 |
+ % if the distance matrix is output from PDIST function |
|
97 |
+ if size(Mdist,1)==1, Mdist = squareform(Mdist); end |
|
98 |
+ if size(Mdist,1)~=noc, |
|
99 |
+ error('Mutual distance matrix size and data set size do not match'); |
|
100 |
+ end |
|
101 |
+end |
|
102 |
+ |
|
103 |
+% alpha and lambda |
|
104 |
+if nargin<5 | isempty(alpha0) | isnan(alpha0), alpha0 = 0.5; end |
|
105 |
+alpha = potency_curve(alpha0,alpha0/100,train_len); |
|
106 |
+ |
|
107 |
+if nargin<6 | isempty(lambda0) | isnan(lambda0), lambda0 = max(st)*3; end |
|
108 |
+lambda = potency_curve(lambda0,0.01,train_len); |
|
109 |
+ |
|
110 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
111 |
+%% Action |
|
112 |
+ |
|
113 |
+k=0; fprintf(2, 'iterating: %d / %d epochs\r',k,epochs); |
|
114 |
+ |
|
115 |
+for i=1:train_len, |
|
116 |
+ |
|
117 |
+ ind = sample_inds(i); % sample index |
|
118 |
+ dx = Mdist(:,ind); % mutual distances in input space |
|
119 |
+ known = find(~isnan(dx)); % known distances |
|
120 |
+ |
|
121 |
+ if ~isempty(known), |
|
122 |
+ % sample vector's projection |
|
123 |
+ y = P(ind,:); |
|
124 |
+ |
|
125 |
+ % distances in output space |
|
126 |
+ Dy = P(known,:) - y(noc_x_1(known),:); |
|
127 |
+ dy = sqrt((Dy.^2)*odim_x_1); |
|
128 |
+ |
|
129 |
+ % relative effect |
|
130 |
+ dy(find(dy==0)) = 1; % to get rid of div-by-zero's |
|
131 |
+ fy = exp(-dy/lambda(i)) .* (dx(known) ./ dy - 1); |
|
132 |
+ |
|
133 |
+ % Note that the function F here is e^(-dy/lambda)) |
|
134 |
+ % instead of the bubble function 1(lambda-dy) used in the |
|
135 |
+ % paper. |
|
136 |
+ |
|
137 |
+ % Note that here a simplification has been made: the derivatives of the |
|
138 |
+ % F function have been ignored in calculating the gradient of error |
|
139 |
+ % function w.r.t. to changes in dy. |
|
140 |
+ |
|
141 |
+ % update |
|
142 |
+ P(known,:) = P(known,:) + alpha(i)*fy(:,odim_x_1).*Dy; |
|
143 |
+ end |
|
144 |
+ |
|
145 |
+ % track |
|
146 |
+ if rem(i,noc)==0, |
|
147 |
+ k=k+1; fprintf(2, 'iterating: %d / %d epochs\r',k,epochs); |
|
148 |
+ end |
|
149 |
+ |
|
150 |
+end |
|
151 |
+ |
|
152 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
153 |
+%% clear up |
|
154 |
+ |
|
155 |
+% calculate error |
|
156 |
+error = cca_error(P,Mdist,lambda(train_len)); |
|
157 |
+fprintf(2,'%d iterations, error %f \n', epochs, error); |
|
158 |
+ |
|
159 |
+% set projections of totally unknown vectors as unknown |
|
160 |
+unknown = find(sum(isnan(D)')==dim); |
|
161 |
+P(unknown,:) = NaN; |
|
162 |
+ |
|
163 |
+return; |
|
164 |
+ |
|
165 |
+ |
|
166 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
167 |
+%% tips |
|
168 |
+ |
|
169 |
+% to plot the results, use the code below |
|
170 |
+ |
|
171 |
+%subplot(2,1,1), |
|
172 |
+%switch(odim), |
|
173 |
+% case 1, plot(P(:,1),ones(dlen,1),'x') |
|
174 |
+% case 2, plot(P(:,1),P(:,2),'x'); |
|
175 |
+% otherwise, plot3(P(:,1),P(:,2),P(:,3),'x'); rotate3d on |
|
176 |
+%end |
|
177 |
+%subplot(2,1,2), dydxplot(P,Mdist); |
|
178 |
+ |
|
179 |
+% to a project a new point x in the input space to the output space |
|
180 |
+% do the following: |
|
181 |
+ |
|
182 |
+% Diff = D - x(noc_x_1,:); Diff(find(isnan(Diff))) = 0; |
|
183 |
+% dx = sqrt((Diff.^2)*dim_x_1); |
|
184 |
+% p = project_point(P,x,dx); % this function can be found from below |
|
185 |
+% tlen = size(p,1); |
|
186 |
+% plot(P(:,1),P(:,2),'bx',p(tlen,1),p(tlen,2),'ro',p(:,1),p(:,2),'r-') |
|
187 |
+ |
|
188 |
+% similar trick can be made to the other direction |
|
189 |
+ |
|
190 |
+ |
|
191 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
192 |
+%% subfunctions |
|
193 |
+ |
|
194 |
+function vals = potency_curve(v0,vn,l) |
|
195 |
+ |
|
196 |
+ % curve that decreases from v0 to vn with a rate that is |
|
197 |
+ % somewhere between linear and 1/t |
|
198 |
+ vals = v0 * (vn/v0).^([0:(l-1)]/(l-1)); |
|
199 |
+ |
|
200 |
+ |
|
201 |
+function error = cca_error(P,Mdist,lambda) |
|
202 |
+ |
|
203 |
+ [noc odim] = size(P); |
|
204 |
+ noc_x_1 = ones(noc,1); |
|
205 |
+ odim_x_1 = ones(odim,1); |
|
206 |
+ |
|
207 |
+ error = 0; |
|
208 |
+ for i=1:noc, |
|
209 |
+ known = find(~isnan(Mdist(:,i))); |
|
210 |
+ if ~isempty(known), |
|
211 |
+ y = P(i,:); |
|
212 |
+ Dy = P(known,:) - y(noc_x_1(known),:); |
|
213 |
+ dy = sqrt((Dy.^2)*odim_x_1); |
|
214 |
+ fy = exp(-dy/lambda); |
|
215 |
+ error = error + sum(((Mdist(known,i) - dy).^2).*fy); |
|
216 |
+ end |
|
217 |
+ end |
|
218 |
+ error = error/2; |
|
219 |
+ |
|
220 |
+ |
|
221 |
+function [] = dydxplot(P,Mdist) |
|
222 |
+ |
|
223 |
+ [noc odim] = size(P); |
|
224 |
+ noc_x_1 = ones(noc,1); |
|
225 |
+ odim_x_1 = ones(odim,1); |
|
226 |
+ Pdist = zeros(noc,noc); |
|
227 |
+ |
|
228 |
+ for i=1:noc, |
|
229 |
+ y = P(i,:); |
|
230 |
+ Dy = P - y(noc_x_1,:); |
|
231 |
+ Pdist(:,i) = sqrt((Dy.^2)*odim_x_1); |
|
232 |
+ end |
|
233 |
+ |
|
234 |
+ Pdist = tril(Pdist,-1); |
|
235 |
+ inds = find(Pdist > 0); |
|
236 |
+ n = length(inds); |
|
237 |
+ plot(Pdist(inds),Mdist(inds),'.'); |
|
238 |
+ xlabel('dy'), ylabel('dx') |
|
239 |
+ |
|
240 |
+ |
|
241 |
+function p = project_point(P,x,dx) |
|
242 |
+ |
|
243 |
+ [noc odim] = size(P); |
|
244 |
+ noc_x_1 = ones(noc,1); |
|
245 |
+ odim_x_1 = ones(odim,1); |
|
246 |
+ |
|
247 |
+ % initial projection |
|
248 |
+ [dummy,i] = min(dx); |
|
249 |
+ y = P(i,:)+rand(1,odim)*norm(P(i,:))/20; |
|
250 |
+ |
|
251 |
+ % lambda |
|
252 |
+ lambda = norm(std(P)); |
|
253 |
+ |
|
254 |
+ % termination |
|
255 |
+ eps = 1e-3; i_max = noc*10; |
|
256 |
+ |
|
257 |
+ i=1; p(i,:) = y; |
|
258 |
+ ready = 0; |
|
259 |
+ while ~ready, |
|
260 |
+ |
|
261 |
+ % mutual distances |
|
262 |
+ Dy = P - y(noc_x_1,:); % differences in output space |
|
263 |
+ dy = sqrt((Dy.^2)*odim_x_1); % distances in output space |
|
264 |
+ f = exp(-dy/lambda); |
|
265 |
+ |
|
266 |
+ fprintf(2,'iteration %d, error %g \r',i,sum(((dx - dy).^2).*f)); |
|
267 |
+ |
|
268 |
+ % all the other vectors push the projected one |
|
269 |
+ fy = f .* (dx ./ dy - 1) / sum(f); |
|
270 |
+ |
|
271 |
+ % update |
|
272 |
+ step = - sum(fy(:,odim_x_1).*Dy); |
|
273 |
+ y = y + step; |
|
274 |
+ |
|
275 |
+ i=i+1; |
|
276 |
+ p(i,:) = y; |
|
277 |
+ ready = (norm(step)/norm(y) < eps | i > i_max); |
|
278 |
+ |
|
279 |
+ end |
|
280 |
+ fprintf(2,'\n'); |
|
281 |
+ |
|
282 |
+ |
|
0 | 283 |
\ No newline at end of file |
... | ... |
@@ -0,0 +1,83 @@ |
1 |
+function [t,r] = db_index(D, cl, C, p, q) |
|
2 |
+ |
|
3 |
+% DB_INDEX Davies-Bouldin clustering evaluation index. |
|
4 |
+% |
|
5 |
+% [t,r] = db_index(D, cl, C, p, q) |
|
6 |
+% |
|
7 |
+% Input and output arguments ([]'s are optional): |
|
8 |
+% D (matrix) data (n x dim) |
|
9 |
+% (struct) map or data struct |
|
10 |
+% cl (vector) cluster numbers corresponding to data samples (n x 1) |
|
11 |
+% [C] (matrix) prototype vectors (c x dim) (default = cluster means) |
|
12 |
+% [p] (scalar) norm used in the computation (default == 2) |
|
13 |
+% [q] (scalar) moment used to calculate cluster dispersions (default = 2) |
|
14 |
+% |
|
15 |
+% t (scalar) Davies-Bouldin index for the clustering (=mean(r)) |
|
16 |
+% r (vector) maximum DB index for each cluster (size c x 1) |
|
17 |
+% |
|
18 |
+% See also KMEANS, KMEANS_CLUSTERS, SOM_GAPINDEX. |
|
19 |
+ |
|
20 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
21 |
+%% input arguments |
|
22 |
+ |
|
23 |
+if isstruct(D), |
|
24 |
+ switch D.type, |
|
25 |
+ case 'som_map', D = D.codebook; |
|
26 |
+ case 'som_data', D = D.data; |
|
27 |
+ end |
|
28 |
+end |
|
29 |
+ |
|
30 |
+% cluster centroids |
|
31 |
+[l dim] = size(D); |
|
32 |
+u = unique(cl); |
|
33 |
+c = length(u); |
|
34 |
+if nargin <3, |
|
35 |
+ C = zeros(c,dim); |
|
36 |
+ for i=1:c, |
|
37 |
+ me = nanstats(D(find(cl==u(i)),:)); |
|
38 |
+ C(i,:) = me'; |
|
39 |
+ end |
|
40 |
+end |
|
41 |
+ |
|
42 |
+u2i = zeros(max(u),1); u2i(u) = 1:c; |
|
43 |
+D = som_fillnans(D,C,u2i(cl)); % replace NaN's with cluster centroid values |
|
44 |
+ |
|
45 |
+if nargin <4, p = 2; end % euclidian distance between cluster centers |
|
46 |
+if nargin <5, q = 2; end % dispersion = standard deviation |
|
47 |
+ |
|
48 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
49 |
+%% action |
|
50 |
+ |
|
51 |
+% dispersion in each cluster |
|
52 |
+for i = 1:c |
|
53 |
+ ind = find(cl==u(i)); % points in this cluster |
|
54 |
+ l = length(ind); |
|
55 |
+ if l > 0 |
|
56 |
+ S(i) = (mean(sqrt(sum((D(ind,:) - ones(l,1) * C(i,:)).^2,2)).^q))^(1/q); |
|
57 |
+ else |
|
58 |
+ S(i) = NaN; |
|
59 |
+ end |
|
60 |
+end |
|
61 |
+ |
|
62 |
+% distances between clusters |
|
63 |
+%for i = 1:c |
|
64 |
+% for j = i+1:c |
|
65 |
+% M(i,j) = sum(abs(C(i,:) - C(j,:)).^p)^(1/p); |
|
66 |
+% end |
|
67 |
+%end |
|
68 |
+M = som_mdist(C,p); |
|
69 |
+ |
|
70 |
+% Davies-Bouldin index |
|
71 |
+R = NaN * zeros(c); |
|
72 |
+r = NaN * zeros(c,1); |
|
73 |
+for i = 1:c |
|
74 |
+ for j = i+1:c |
|
75 |
+ R(i,j) = (S(i) + S(j))/M(i,j); |
|
76 |
+ end |
|
77 |
+ r(i) = max(R(i,:)); |
|
78 |
+end |
|
79 |
+ |
|
80 |
+t = mean(r(isfinite(r))); |
|
81 |
+ |
|
82 |
+return; |
|
83 |
+ |
... | ... |
@@ -0,0 +1,53 @@ |
1 |
+function [hits,ninvalid] = hits(bmus, mmax, values) |
|
2 |
+ |
|
3 |
+%HITS Calculate number of occurances of each value. |
|
4 |
+% |
|
5 |
+% hits = hits(bmus,[mmax],[values]) |
|
6 |
+% |
|
7 |
+% h = hits(bmus); |
|
8 |
+% h = hits(bmus,length(sM.codebook)); |
|
9 |
+% |
|
10 |
+% Input and output arguments ([]'s are optional): |
|
11 |
+% bmus (vector) BMU indeces (or other similar) |
|
12 |
+% [mmax] (scalar) maximum index, default value max(bmus) |
|
13 |
+% (struct) map or topology struct from where the maximum |
|
14 |
+% index is acquired |
|
15 |
+% [values] (vector) values associated with the data (default = 1) |
|
16 |
+% |
|
17 |
+% hits (vector) the number of occurances of each index |
|
18 |
+% (or if values are given, their sum for each index) |
|
19 |
+% ninvalid (scalar) number of invalid indeces (NaN, Inf or |
|
20 |
+% <=0 or > mmax) |
|
21 |
+% |
|
22 |
+% See also SOM_HITS, SOM_BMUS. |
|
23 |
+ |
|
24 |
+% Copyright (c) 2002 by the SOM toolbox programming team. |
|
25 |
+% Contributed to SOM Toolbox by Juha Vesanto, April 24th, 2002 |
|
26 |
+% http://www.cis.hut.fi/projects/somtoolbox/ |
|
27 |
+ |
|
28 |
+% Version 2.0beta juuso 240402 |
|
29 |
+ |
|
30 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
31 |
+ |
|
32 |
+if nargin<2 | isempty(mmax), |
|
33 |
+ mmax = max(bmus); |
|
34 |
+elseif isstruct(mmax), |
|
35 |
+ switch mmax.type, |
|
36 |
+ case 'som_map', mmax = prod(mmax.topol.msize); |
|
37 |
+ case 'som_topol', mmax = prod(mmax.msize); |
|
38 |
+ otherwise, |
|
39 |
+ error('Illegal struct for 2nd argument.') |
|
40 |
+ end |
|
41 |
+end |
|
42 |
+ |
|
43 |
+if nargin<3, values = 1; end |
|
44 |
+ |
|
45 |
+valid_bmus = find(isfinite(bmus) & bmus>0 & bmus<=mmax); |
|
46 |
+ninvalid = length(bmus)-length(valid_bmus); |
|
47 |
+ |
|
48 |
+bmus = bmus(valid_bmus); |
|
49 |
+if length(values)>length(bmus), values = values(valid_bmus); end |
|
50 |
+hits = full(sum(sparse(bmus,1:length(bmus),values,mmax,length(bmus)),2)); |
|
51 |
+ |
|
52 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
53 |
+ |
... | ... |
@@ -0,0 +1,120 @@ |
1 |
+function [centers,clusters,errors,ind] = kmeans_clusters(sD, n_max, c_max, verbose) |
|
2 |
+ |
|
3 |
+% KMEANS_CLUSTERS Clustering with k-means with different values for k. |
|
4 |
+% |
|
5 |
+% [c, p, err, ind] = kmeans_clusters(sD, [n_max], [c_max], [verbose]) |
|
6 |
+% |
|
7 |
+% [c, p, err, ind] = kmeans_clusters(sD); |
|
8 |
+% |
|
9 |
+% Input and output arguments ([]'s are optional): |
|
10 |
+% D (struct) map or data struct |
|
11 |
+% (matrix) size dlen x dim, the data |
|
12 |
+% [n_max] (scalar) maximum number of clusters, default is sqrt(dlen) |
|
13 |
+% [c_max] (scalar) maximum number of k-means runs, default is 5 |
|
14 |
+% [verbose] (scalar) verbose level, 0 by default |
|
15 |
+% |
|
16 |
+% c (cell array) c{i} contains cluster centroids for k=i |
|
17 |
+% p (cell array) p{i} contains cluster indeces for k=i |
|
18 |
+% err (vector) squared sum of errors for each value of k |
|
19 |
+% ind (vector) Davies-Bouldin index value for each clustering |
|
20 |
+% |
|
21 |
+% Makes a k-means to the given data set with different values of |
|
22 |
+% k. The k-means is run multiple times for each k, and the best of |
|
23 |
+% these is selected based on sum of squared errors. Finally, the |
|
24 |
+% Davies-Bouldin index is calculated for each clustering. |
|
25 |
+% |
|
26 |
+% For example to cluster a SOM: |
|
27 |
+% [c, p, err, ind] = kmeans_clusters(sM); % find clusterings |
|
28 |
+% [dummy,i] = min(ind); % select the one with smallest index |
|
29 |
+% som_show(sM,'color',{p{i},sprintf('%d clusters',i)}); % visualize |
|
30 |
+% colormap(jet(i)), som_recolorbar % change colormap |
|
31 |
+% |
|
32 |
+% See also SOM_KMEANS. |
|
33 |
+ |
|
34 |
+% References: |
|
35 |
+% Jain, A.K., Dubes, R.C., "Algorithms for Clustering Data", |
|
36 |
+% Prentice Hall, 1988, pp. 96-101. |
|
37 |
+% |
|
38 |
+% Davies, D.L., Bouldin, D.W., "A Cluster Separation Measure", |
|
39 |
+% IEEE Transactions on Pattern Analysis and Machine Intelligence, |
|
40 |
+% vol. PAMI-1, no. 2, 1979, pp. 224-227. |
|
41 |
+% |
|
42 |
+% Vesanto, J., Alhoniemi, E., "Clustering of the Self-Organizing |
|
43 |
+% Map", IEEE Transactions on Neural Networks, 2000. |
|
44 |
+ |
|
45 |
+% Contributed to SOM Toolbox vs2, February 2nd, 2000 by Esa Alhoniemi |
|
46 |
+% Copyright (c) by Esa Alhoniemi |
|
47 |
+% http://www.cis.hut.fi/projects/somtoolbox/ |
|
48 |
+ |
|
49 |
+% ecco 301299 juuso 020200 211201 |
|
50 |
+ |
|
51 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
52 |
+%% input arguments and initialization |
|
53 |
+ |
|
54 |
+if isstruct(sD), |
|
55 |
+ if isfield(sD,'data'), D = sD.data; |
|
56 |
+ else D = sD.codebook; |
|
57 |
+ end |
|
58 |
+else D = sD; |
|
59 |
+end |
|
60 |
+[dlen dim] = size(D); |
|
61 |
+ |
|
62 |
+if nargin < 2 | isempty(n_max) | isnan(n_max), n_max = ceil(sqrt(dlen)); end |
|
63 |
+if nargin < 3 | isempty(c_max) | isnan(c_max), c_max = 5; end |
|
64 |
+if nargin < 4 | isempty(verbose) | isnan(verbose), verbose = 0; end |
|
65 |
+ |
|
66 |
+centers = cell(n_max,1); |
|
67 |
+clusters = cell(n_max,1); |
|
68 |
+ind = zeros(1,n_max)+NaN; |
|
69 |
+errors = zeros(1,n_max)+NaN; |
|
70 |
+ |
|
71 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
72 |
+%% action |
|
73 |
+ |
|
74 |
+% the case k=1 is trivial, but Davies-Boulding index cannot be evaluated |
|
75 |
+m = zeros(1,dim); |
|
76 |
+for i=1:dim, m(i)=mean(D(isfinite(D(:,i)),i)); end |
|
77 |
+centers{1} = m; |
|
78 |
+clusters{1} = ones(dlen,1); |
|
79 |
+[dummy qerr] = som_bmus(m,D); |
|
80 |
+errors(1) = sum(qerr.^2); |
|
81 |
+ind(1) = NaN; |
|
82 |
+ |
|
83 |
+if verbose, fprintf(2,'Doing k-means for 2-%d clusters\n',n_max); end |
|
84 |
+ |
|
85 |
+for i = 2:n_max, % number of clusters |
|
86 |
+ |
|
87 |
+ % make k-means with k=i for c_max times and select the best based |
|
88 |
+ % on sum-of-squared errors (SSE) |
|
89 |
+ best = realmax; |
|
90 |
+ for j = 1:c_max % run number j for cluster i |
|
91 |
+ if verbose, |
|
92 |
+ fprintf('%d/%d clusters, k-means run %d/%d\r', i, n_max,j, c_max); |
|
93 |
+ end |
|
94 |
+ [c, k, err] = som_kmeans('batch', D, i, 100, 0); |
|
95 |
+ if err < best, k_best = k'; c_best = c; best = err; end |
|
96 |
+ % ' added in k_best = k'; by kr 1.10.02 |
|
97 |
+ end |
|
98 |
+ if verbose, fprintf(1, '\n'); end |
|
99 |
+ |
|
100 |
+ % store the results |
|
101 |
+ centers{i} = c_best; |
|
102 |
+ clusters{i} = k_best; |
|
103 |
+ errors(i) = best; |
|
104 |
+% ind(i) = db_index(D, c_best, k_best, 2); wrong version in somtbx ?? |
|
105 |
+ ind(i) = db_index(D, k_best, c_best, 2); % modified by kr 1.10.02 |
|
106 |
+ |
|
107 |
+ % if verbose mode, plot the index & SSE |
|
108 |
+ if verbose |
|
109 |
+ subplot(2,1,1), plot(ind), grid |
|
110 |
+ title('Davies-Bouldin''s index') |
|
111 |
+ subplot(2,1,2), plot(errors), grid |
|
112 |
+ title('SSE') |
|
113 |
+ drawnow |
|
114 |
+ end |
|
115 |
+end |
|
116 |
+ |
|
117 |
+return; |
|
118 |
+ |
|
119 |
+ |
|
120 |
+ |
... | ... |
@@ -0,0 +1,158 @@ |
1 |
+function [C,P]=knn(d, Cp, K) |
|
2 |
+ |
|
3 |
+%KNN K-Nearest Neighbor classifier using an arbitrary distance matrix |
|
4 |
+% |
|
5 |
+% [C,P]=knn(d, Cp, [K]) |
|
6 |
+% |
|
7 |
+% Input and output arguments ([]'s are optional): |
|
8 |
+% d (matrix) of size NxP: This is a precalculated dissimilarity (distance matrix). |
|
9 |
+% P is the number of prototype vectors and N is the number of data vectors |
|
10 |
+% That is, d(i,j) is the distance between data item i and prototype j. |
|
11 |
+% Cp (vector) of size Px1 that contains integer class labels. Cp(j) is the class of |
|
12 |
+% jth prototype. |
|
13 |
+% [K] (scalar) the maximum K in K-NN classifier, default is 1 |
|
14 |
+% C (matrix) of size NxK: integers indicating the class |
|
15 |
+% decision for data items according to the K-NN rule for each K. |
|
16 |
+% C(i,K) is the classification for data item i using the K-NN rule |
|
17 |
+% P (matrix) of size NxkxK: the relative amount of prototypes of |
|
18 |
+% each class among the K closest prototypes for each classifiee. |
|
19 |
+% That is, P(i,j,K) is the relative amount of prototypes of class j |
|
20 |
+% among K nearest prototypes for data item i. |
|
21 |
+% |
|
22 |
+% If there is a tie between representatives of two or more classes |
|
23 |
+% among the K closest neighbors to the classifiee, the class i selected randomly |
|
24 |
+% among these candidates. |
|
25 |
+% |
|
26 |
+% IMPORTANT If K>1 this function uses 'sort' which is considerably slower than |
|
27 |
+% 'max' which is used for K=1. If K>1 the knn always calculates |
|
28 |
+% results for all K-NN models from 1-NN up to K-NN. |
|
29 |
+% |
|
30 |
+% EXAMPLE 1 |
|
31 |
+% |
|
32 |
+% sP; % a SOM Toolbox data struct containing labeled prototype vectors |
|
33 |
+% [Cp,label]=som_label2num(sP); % get integer class labels for prototype vectors |
|
34 |
+% sD; % a SOM Toolbox data struct containing vectors to be classified |
|
35 |
+% d=som_eucdist2(sD,sP); % calculate euclidean distance matrix |
|
36 |
+% class=knn(d,Cp,10); % classify using 1,2,...,10-rules |
|
37 |
+% class(:,5); % includes results for 5NN |
|
38 |
+% label(class(:,5)) % original class labels for 5NN |
|
39 |
+% |
|
40 |
+% EXAMPLE 2 (leave-one-out-crossvalidate KNN for selection of proper K) |
|
41 |
+% |
|
42 |
+% P; % a data matrix of prototype vectors (rows) |
|
43 |
+% Cp; % column vector of integer class labels for vectors in P |
|
44 |
+% d=som_eucdist2(P,P); % calculate euclidean distance matrix PxP |
|
45 |
+% d(eye(size(d))==1)=NaN; % set self-dissimilarity to NaN: |
|
46 |
+% % this drops the prototype itself away from its neighborhood |
|
47 |
+% % leave-one-out-crossvalidation (LOOCV) |
|
48 |
+% class=knn(d,Cp,size(P,1)); % classify using all possible K |
|
49 |
+% % calculate and plot LOOC-validated errors for all K |
|
50 |
+% failratep = ... |
|
51 |
+% 100*sum((class~=repmat(Cp,1,size(P,1))))./size(P,1); plot(1:size(P,1),failratep) |
|
52 |
+ |
|
53 |
+% See also SOM_LABEL2NUM, SOM_EUCDIST2, PDIST. |
|
54 |
+% |
|
55 |
+% Contributed to SOM Toolbox 2.0, October 29th, 2000 by Johan Himberg |
|
56 |
+% Copyright (c) by Johan Himberg |
|
57 |
+% http://www.cis.hut.fi/projects/somtoolbox/ |
|
58 |
+ |
|
59 |
+% Version 2.0beta Johan 291000 |
|
60 |
+ |
|
61 |
+%% Init %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
62 |
+ |
|
63 |
+% Check K |
|
64 |
+if nargin<3 | isempty(K), |
|
65 |
+ K=1; |
|
66 |
+end |
|
67 |
+ |
|
68 |
+if ~vis_valuetype(K,{'1x1'}) |
|
69 |
+ error('Value for K must be a scalar'); |
|
70 |
+end |
|
71 |
+ |
|
72 |
+% Check that dist is a matrix |
|
73 |
+if ~vis_valuetype(d,{'nxm'}), |
|
74 |
+ error('Distance matrix not valid.') |
|
75 |
+end |
|
76 |
+ |
|
77 |
+[N_data N_proto]=size(d); |
|
78 |
+ |
|
79 |
+% Check class label vector: must be numerical and of integers |
|
80 |
+if ~vis_valuetype(Cp,{[N_proto 1]}); |
|
81 |
+ error(['Class vector is invalid: has to be a N-of-data_rows x 1' ... |
|
82 |
+ ' vector of integers']); |
|
83 |
+elseif sum(fix(Cp)-Cp)~=0 |
|
84 |
+ error('Class labels in vector ''Cp'' must be integers.'); |
|
85 |
+end |
|
86 |
+ |
|
87 |
+if size(d,2) ~= length(Cp), |
|
88 |
+ error('Distance matrix and prototype class vector dimensions do not match.'); |
|
89 |
+end |
|
90 |
+ |
|
91 |
+% Check if the classes are given as labels (no class input arg.) |
|
92 |
+% if they are take them from prototype struct |
|
93 |
+ |
|
94 |
+% Find all class labels |
|
95 |
+ClassIndex=unique(Cp); |
|
96 |
+N_class=length(ClassIndex); % number of different classes |
|
97 |
+ |
|
98 |
+ |
|
99 |
+%%%% Classification %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
100 |
+ |
|
101 |
+if K==1, % sort distances only if K>1 |
|
102 |
+ |
|
103 |
+ % 1NN |
|
104 |
+ % Select the closest prototype |
|
105 |
+ [tmp,proto_index]=min(d,[],2); |
|
106 |
+ C=Cp(proto_index); |
|
107 |
+ |
|
108 |
+else |
|
109 |
+ |
|
110 |
+ % Sort the prototypes for each classifiee according to distance |
|
111 |
+ [tmp, proto_index]=sort(d'); |
|
112 |
+ |
|
113 |
+ %% Select up to K closest prototypes |
|
114 |
+ proto_index=proto_index(1:K,:); |
|
115 |
+ knn_class=Cp(proto_index); |
|
116 |
+ for i=1:N_class, |
|
117 |
+ classcounter(:,:,i)=cumsum(knn_class==ClassIndex(i)); |
|
118 |
+ end |
|
119 |
+ |
|
120 |
+ %% Vote between classes of K neighbors |
|
121 |
+ [winner,vote_index]=max(classcounter,[],3); |
|
122 |
+ |
|
123 |
+ %%% Handle ties |
|
124 |
+ |
|
125 |
+ % Set index to classes that got as much votes as winner |
|
126 |
+ |
|
127 |
+ equal_to_winner=(repmat(winner,[1 1 N_class])==classcounter); |
|
128 |
+ |
|
129 |
+ % set index to ties |
|
130 |
+ [tie_indexi,tie_indexj]=find(sum(equal_to_winner,3)>1); % drop the winner from counter |
|
131 |
+ |
|
132 |
+ % Go through tie cases and reset vote_index randomly to one |
|
133 |
+ % of them |
|
134 |
+ |
|
135 |
+ for i=1:length(tie_indexi), |
|
136 |
+ tie_class_index=find(squeeze(equal_to_winner(tie_indexi(i),tie_indexj(i),:))); |
|
137 |
+ fortuna=randperm(length(tie_class_index)); |
|
138 |
+ vote_index(tie_indexi(i),tie_indexj(i))=tie_class_index(fortuna(1)); |
|
139 |
+ end |
|
140 |
+ |
|
141 |
+ C=ClassIndex(vote_index)'; |
|
142 |
+end |
|
143 |
+ |
|
144 |
+%% Build output %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
145 |
+ |
|
146 |
+% Relative amount of classes in K neighbors for each classifiee |
|
147 |
+ |
|
148 |
+if K==1, |
|
149 |
+ P=zeros(N_data,N_class); |
|
150 |
+ if nargout>1, |
|
151 |
+ for i=1:N_data, |
|
152 |
+ P(i,ClassIndex==C(i))=1; |
|
153 |
+ end |
|
154 |
+ end |
|
155 |
+else |
|
156 |
+ P=shiftdim(classcounter,1)./repmat(shiftdim(1:K,-1), [N_data N_class 1]); |
|
157 |
+end |
|
158 |
+ |
... | ... |
@@ -0,0 +1,251 @@ |
1 |
+function [Class,P]=knn_old(Data, Proto, proto_class, K) |
|
2 |
+ |
|
3 |
+%KNN_OLD A K-nearest neighbor classifier using Euclidean distance |
|
4 |
+% |
|
5 |
+% [Class,P]=knn_old(Data, Proto, proto_class, K) |
|
6 |
+% |
|
7 |
+% [sM_class,P]=knn_old(sM, sData, [], 3); |
|
8 |
+% [sD_class,P]=knn_old(sD, sM, class); |
|
9 |
+% [class,P]=knn_old(data, proto, class); |
|
10 |
+% [class,P]=knn_old(sData, sM, class,5); |
|
11 |
+% |
|
12 |
+% Input and output arguments ([]'s are optional): |
|
13 |
+% Data (matrix) size Nxd, vectors to be classified (=classifiees) |
|
14 |
+% (struct) map or data struct: map codebook vectors or |
|
15 |
+% data vectors are considered as classifiees. |
|
16 |
+% Proto (matrix) size Mxd, prototype vector matrix (=prototypes) |
|
17 |
+% (struct) map or data struct: map codebook vectors or |
|
18 |
+% data vectors are considered as prototypes. |
|
19 |
+% [proto_class] (vector) size Nx1, integers 1,2,...,k indicating the |
|
20 |
+% classes of corresponding protoptypes, default: see the |
|
21 |
+% explanation below. |
|
22 |
+% [K] (scalar) the K in KNN classifier, default is 1 |
|
23 |
+% |
|
24 |
+% Class (matrix) size Nx1, vector of 1,2, ..., k indicating the class |
|
25 |
+% desicion according to the KNN rule |
|
26 |
+% P (matrix) size Nxk, the relative amount of prototypes of |
|
27 |
+% each class among the K closest prototypes for |
|
28 |
+% each classifiee. |
|
29 |
+% |
|
30 |
+% If 'proto_class' is _not_ given, 'Proto' _must_ be a labeled SOM |
|
31 |
+% Toolbox struct. The label of the data vector or the first label of |
|
32 |
+% the map model vector is considered as class label for th prototype |
|
33 |
+% vector. In this case the output 'Class' is a copy of 'Data' (map or |
|
34 |
+% data struct) relabeled according to the classification. If input |
|
35 |
+% argument 'proto_class' _is_ given, the output argument 'Class' is |
|
36 |
+% _always_ a vector of integers 1,2,...,k indiacating the class. |
|
37 |
+% |
|
38 |
+% If there is a tie between representatives of two or more classes |
|
39 |
+% among the K closest neighbors to the classifiee, the class is |
|
40 |
+% selected randomly among these candidates. |
|
41 |
+% |
|
42 |
+% IMPORTANT |
|
43 |
+% |
|
44 |
+% ** Even if prototype vectors are given in a map struct the mask _is not |
|
45 |
+% taken into account_ when calculating Euclidean distance |
|
46 |
+% ** The function calculates the total distance matrix between all |
|
47 |
+% classifiees and prototype vectors. This results to an MxN matrix; |
|
48 |
+% if N is high it is recommended to divide the matrix 'Data' |
|
49 |
+% (the classifiees) into smaller sets in order to avoid memory |
|
50 |
+% overflow or swapping. Also, if K>1 this function uses 'sort' which is |
|
51 |
+% considerably slower than 'max' which is used for K==1. |
|
52 |
+% |
|
53 |
+% See also KNN, SOM_LABEL, SOM_AUTOLABEL |
|
54 |
+ |
|
55 |
+% Contributed to SOM Toolbox 2.0, February 11th, 2000 by Johan Himberg |
|
56 |
+% Copyright (c) by Johan Himberg |
|
57 |
+% http://www.cis.hut.fi/projects/somtoolbox/ |
|
58 |
+ |
|
59 |
+% Version 2.0beta Johan 040200 |
|
60 |
+ |
|
61 |
+%% Init %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
62 |
+% This must exist later |
|
63 |
+classnames=''; |
|
64 |
+ |
|
65 |
+% Check K |
|
66 |
+if nargin<4 | isempty(K), |
|
67 |
+ K=1; |
|
68 |
+end |
|
69 |
+ |
|
70 |
+if ~vis_valuetype(K,{'1x1'}) |
|
71 |
+ error('Value for K must be a scalar.'); |
|
72 |
+end |
|
73 |
+ |
|
74 |
+% Take data from data or map struct |
|
75 |
+ |
|
76 |
+if isstruct(Data); |
|
77 |
+ if isfield(Data,'type') & ischar(Data.type), |
|
78 |
+ ; |
|
79 |
+ else |
|
80 |
+ error('Invalid map/data struct?'); |
|
81 |
+ end |
|
82 |
+ switch Data.type |
|
83 |
+ case 'som_map' |
|
84 |
+ data=Data.codebook; |
|
85 |
+ case 'som_data' |
|
86 |
+ data=Data.data; |
|
87 |
+ end |
|
88 |
+else |
|
89 |
+ % is already a matrix |
|
90 |
+ data=Data; |
|
91 |
+end |
|
92 |
+ |
|
93 |
+% Take prototype vectors from prototype struct |
|
94 |
+ |
|
95 |
+if isstruct(Proto), |
|
96 |
+ |
|
97 |
+ if isfield(Proto,'type') & ischar(Proto.type), |
|
98 |
+ ; |
|
99 |
+ else |
|
100 |
+ error('Invalid map/data struct?'); |
|
101 |
+ end |
|
102 |
+ switch Proto.type |
|
103 |
+ case 'som_map' |
|
104 |
+ proto=Proto.codebook; |
|
105 |
+ case 'som_data' |
|
106 |
+ proto=Proto.data; |
|
107 |
+ end |
|
108 |
+else |
|
109 |
+ % is already a matrix |
|
110 |
+ proto=Proto; |
|
111 |
+end |
|
112 |
+ |
|
113 |
+% Check that inputs are matrices |
|
114 |
+if ~vis_valuetype(proto,{'nxm'}) | ~vis_valuetype(data,{'nxm'}), |
|
115 |
+ error('Prototype or data input not valid.') |
|
116 |
+end |
|
117 |
+ |
|
118 |
+% Record data&proto sizes and check their dims |
|
119 |
+[N_data dim_data]=size(data); |
|
120 |
+[N_proto dim_proto]=size(proto); |
|
121 |
+if dim_proto ~= dim_data, |
|
122 |
+ error('Data and prototype vector dimension does not match.'); |
|
123 |
+end |
|
124 |
+ |
|
125 |
+% Check if the classes are given as labels (no class input arg.) |
|
126 |
+% if they are take them from prototype struct |
|
127 |
+ |
|
128 |
+if nargin<3 | isempty(proto_class) |
|
129 |
+ if ~isstruct(Proto) |
|
130 |
+ error(['If prototypes are not in labeled map or data struct' ... |
|
131 |
+ 'class must be given.']); |
|
132 |
+ % transform to interger (numerical) class labels |
|
133 |
+ else |
|
134 |
+ [proto_class,classnames]=class2num(Proto.labels); |
|
135 |
+ end |
|
136 |
+end |
|
137 |
+ |
|
138 |
+% Check class label vector: must be numerical and of integers |
|
139 |
+if ~vis_valuetype(proto_class,{[N_proto 1]}); |
|
140 |
+ error(['Class vector is invalid: has to be a N-of-data_rows x 1' ... |
|
141 |
+ ' vector of integers']); |
|
142 |
+elseif sum(fix(proto_class)-proto_class)~=0 |
|
143 |
+ error('Class labels in vector ''Class'' must be integers.'); |
|
144 |
+end |
|
145 |
+ |
|
146 |
+% Find all class labels |
|
147 |
+ClassIndex=unique(proto_class); |
|
148 |
+N_class=length(ClassIndex); % number of different classes |
|
149 |
+ |
|
150 |
+% Calculate euclidean distances between classifiees and prototypes |
|
151 |
+d=distance(proto,data); |
|
152 |
+ |
|
153 |
+%%%% Classification %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
154 |
+ |
|
155 |
+if K==1, % sort distances only if K>1 |
|
156 |
+ |
|
157 |
+ % 1NN |
|
158 |
+ % Select the closest prototype |
|
159 |
+ [tmp,proto_index]=min(d); |
|
160 |
+ class=proto_class(proto_index); |
|
161 |
+ |
|
162 |
+else |
|
163 |
+ |
|
164 |
+ % Sort the prototypes for each classifiee according to distance |
|
165 |
+ [tmp,proto_index]=sort(d); |
|
166 |
+ |
|
167 |
+ %% Select K closest prototypes |
|
168 |
+ proto_index=proto_index(1:K,:); |
|
169 |
+ knn_class=proto_class(proto_index); |
|
170 |
+ for i=1:N_class, |
|
171 |
+ classcounter(i,:)=sum(knn_class==ClassIndex(i)); |
|
172 |
+ end |
|
173 |
+ |
|
174 |
+ %% Vote between classes of K neighbors |
|
175 |
+ [winner,vote_index]=max(classcounter); |
|
176 |
+ |
|
177 |
+ %% Handle ties |
|
178 |
+ |
|
179 |
+ % set index to clases that got as amuch votes as winner |
|
180 |
+ |
|
181 |
+ equal_to_winner=(repmat(winner,N_class,1)==classcounter); |
|
182 |
+ |
|
183 |
+ % set index to ties |
|
184 |
+ tie_index=find(sum(equal_to_winner)>1); % drop the winner from counter |
|
185 |
+ |
|
186 |
+ % Go through equal classes and reset vote_index randomly to one |
|
187 |
+ % of them |
|
188 |
+ |
|
189 |
+ for i=1:length(tie_index), |
|
190 |
+ tie_class_index=find(equal_to_winner(:,tie_index(i))); |
|
191 |
+ fortuna=randperm(length(tie_class_index)); |
|
192 |
+ vote_index(tie_index(i))=tie_class_index(fortuna(1)); |
|
193 |
+ end |
|
194 |
+ |
|
195 |
+ class=ClassIndex(vote_index); |
|
196 |
+end |
|
197 |
+ |
|
198 |
+%% Build output %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
199 |
+ |
|
200 |
+% Relative amount of classes in K neighbors for each classifiee |
|
201 |
+ |
|
202 |
+if K==1, |
|
203 |
+ P=zeros(N_data,N_class); |
|
204 |
+ if nargout>1, |
|
205 |
+ for i=1:N_data, |
|
206 |
+ P(i,ClassIndex==class(i))=1; |
|
207 |
+ end |
|
208 |
+ end |
|
209 |
+else |
|
210 |
+ P=classcounter'./K; |
|
211 |
+end |
|
212 |
+ |
|
213 |
+% xMake class names to struct if they exist |
|
214 |
+if ~isempty(classnames), |
|
215 |
+ Class=Data; |
|
216 |
+ for i=1:N_data, |
|
217 |
+ Class.labels{i,1}=classnames{class(i)}; |
|
218 |
+ end |
|
219 |
+else |
|
220 |
+ Class=class; |
|
221 |
+end |
|
222 |
+ |
|
223 |
+ |
|
224 |
+%%% Subfunctions %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
225 |
+ |
|
226 |
+function [nos,names] = class2num(class) |
|
227 |
+ |
|
228 |
+% Change string labels in map/data struct to integer numbers |
|
229 |
+ |
|
230 |
+names = {}; |
|
231 |
+nos = zeros(length(class),1); |
|
232 |
+for i=1:length(class) |
|
233 |
+ if ~isempty(class{i}) & ~any(strcmp(class{i},names)) |
|
234 |
+ names=cat(1,names,class(i)); |
|
235 |
+ end |
|
236 |
+end |
|
237 |
+ |
|
238 |
+tmp_nos = (1:length(names))'; |
|
239 |
+for i=1:length(class) |
|
240 |
+ if ~isempty(class{i}) |
|
241 |
+ nos(i,1) = find(strcmp(class{i},names)); |
|
242 |
+ end |
|
243 |
+end |
|
244 |
+ |
|
245 |
+function d=distance(X,Y); |
|
246 |
+ |
|
247 |
+% Euclidean distance matrix between row vectors in X and Y |
|
248 |
+ |
|
249 |
+U=~isnan(Y); Y(~U)=0; |
|
250 |
+V=~isnan(X); X(~V)=0; |
|
251 |
+d=X.^2*U'+V*Y'.^2-2*X*Y'; |
... | ... |
@@ -0,0 +1,180 @@ |
1 |
+function codebook=lvq1(codebook, data, rlen, alpha); |
|
2 |
+ |
|
3 |
+%LVQ1 Trains a codebook with the LVQ1 -algorithm. |
|
4 |
+% |
|
5 |
+% sM = lvq1(sM, D, rlen, alpha) |
|
6 |
+% |
|
7 |
+% sM = lvq1(sM,sD,30*length(sM.codebook),0.08); |
|
8 |
+% |
|
9 |
+% Input and output arguments: |
|
10 |
+% sM (struct) map struct, the class information must be |
|
11 |
+% present on the first column of .labels field |
|
12 |
+% D (struct) data struct, the class information must |
|
13 |
+% be present on the first column of .labels field |
|
14 |
+% rlen (scalar) running length |
|
15 |
+% alpha (scalar) learning parameter |
|
16 |
+% |
|
17 |
+% sM (struct) map struct, the trained codebook |
|
18 |
+% |
|
19 |
+% NOTE: does not take mask into account. |
|
20 |
+% |
|
21 |
+% For more help, try 'type lvq1', or check out online documentation. |
|
22 |
+% See also LVQ3, SOM_SUPERVISED, SOM_SEQTRAIN. |
|
23 |
+ |
|
24 |
+%%%%%%%%%%%%% DETAILED DESCRIPTION %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
25 |
+% |
|
26 |
+% lvq1 |
|
27 |
+% |
|
28 |
+% PURPOSE |
|
29 |
+% |
|
30 |
+% Trains codebook with the LVQ1 -algorithm (described below). |
|
31 |
+% |
|
32 |
+% SYNTAX |
|
33 |
+% |
|
34 |
+% sM = lvq1(sM, D, rlen, alpha) |
|
35 |
+% |
|
36 |
+% DESCRIPTION |
|
37 |
+% |
|
38 |
+% Trains codebook with the LVQ1 -algorithm. Codebook contains a number |
|
39 |
+% of vectors (mi, i=1,2,...,n) and so does data (vectors xj, |
|
40 |
+% j=1,2,...,k). Both vector sets are classified: vectors may have a |
|
41 |
+% class (classes are set to the first column of data or map -structs' |
|
42 |
+% .labels -field). For each xj there is defined the nearest codebook |
|
43 |
+% -vector index c by searching the minimum of the euclidean distances |
|
44 |
+% between the current xj and codebook -vectors: |
|
45 |
+% |
|
46 |
+% c = min{ ||xj - mi|| }, i=[1,..,n], for fixed xj |
|
47 |
+% i |
|
48 |
+% If xj and mc belong to the same class, mc is updated as follows: |
|
49 |
+% mc(t+1) = mc(t) + alpha * (xj(t) - mc(t)) |
|
50 |
+% If xj and mc belong to different classes, mc is updated as follows: |
|
51 |
+% mc(t+1) = mc(t) - alpha * (xj(t) - mc(t)) |
|
52 |
+% Otherwise updating is not performed. |
|
53 |
+% |
|
54 |
+% Argument 'rlen' tells how many times training sequence is performed. |
|
55 |
+% LVQ1 -algorithm may be stopped after a number of steps, that is |
|
56 |
+% 30-50 times the number of codebook vectors. |
|
57 |
+% |
|
58 |
+% Argument 'alpha' is the learning rate, recommended to be smaller |
|
59 |
+% than 0.1. |
|
60 |
+% |
|
61 |
+% NOTE: does not take mask into account. |
|
62 |
+% |
|
63 |
+% REFERENCES |
|
64 |
+% |
|
65 |
+% Kohonen, T., "Self-Organizing Map", 2nd ed., Springer-Verlag, |
|
66 |
+% Berlin, 1995, pp. 176-179. |
|
67 |
+% |
|
68 |
+% See also LVQ_PAK from http://www.cis.hut.fi/research/som_lvq_pak.shtml |
|
69 |
+% |
|
70 |
+% REQUIRED INPUT ARGUMENTS |
|
71 |
+% |
|
72 |
+% sM The data to be trained. |
|
73 |
+% (struct) A map struct. |
|
74 |
+% |
|
75 |
+% D The data to use in training. |
|
76 |
+% (struct) A data struct. |
|
77 |
+% |
|
78 |
+% rlen (integer) Running length of LVQ1 -algorithm. |
|
79 |
+% |
|
80 |
+% alpha (float) Learning rate used in training. |
|
81 |
+% |
|
82 |
+% OUTPUT ARGUMENTS |
|
83 |
+% |
|
84 |
+% codebook Trained data. |
|
85 |
+% (struct) A map struct. |
|
86 |
+% |
|
87 |
+% EXAMPLE |
|
88 |
+% |
|
89 |
+% lab = unique(sD.labels(:,1)); % different classes |
|
90 |
+% mu = length(lab)*5; % 5 prototypes for each |
|
91 |
+% sM = som_randinit(sD,'msize',[mu 1]); % initial prototypes |
|
92 |
+% sM.labels = [lab;lab;lab;lab;lab]; % their classes |
|
93 |
+% sM = lvq1(sM,sD,50*mu,0.05); % use LVQ1 to adjust |
|
94 |
+% % the prototypes |
|
95 |
+% sM = lvq3(sM,sD,50*mu,0.05,0.2,0.3); % then use LVQ3 |
|
96 |
+% |
|
97 |
+% SEE ALSO |
|
98 |
+% |
|
99 |
+% lvq3 Use LVQ3 algorithm for training. |
|
100 |
+% som_supervised Train SOM using supervised training. |
|
101 |
+% som_seqtrain Train SOM with sequential algorithm. |
|
102 |
+ |
|
103 |
+% Contributed to SOM Toolbox vs2, February 2nd, 2000 by Juha Parhankangas |
|
104 |
+% Copyright (c) Juha Parhankangas |
|
105 |
+% http://www.cis.hut.fi/projects/somtoolbox/ |
|
106 |
+ |
|
107 |
+% Juha Parhankangas 310100 juuso 020200 |
|
108 |
+ |
|
109 |
+cod = codebook.codebook; |
|
110 |
+c_class = class2num(codebook.labels(:,1)); |
|
111 |
+ |
|
112 |
+dat = data.data; |
|
113 |
+d_class = class2num(data.labels(:,1)); |
|
114 |
+ |
|
115 |
+x=size(dat,1); |
|
116 |
+y=size(cod,2); |
|
117 |
+ |
|
118 |
+ONES=ones(size(cod,1),1); |
|
119 |
+ |
|
120 |
+for t=1:rlen |
|
121 |
+ |
|
122 |
+ fprintf(1,'\rTraining round: %d',t); |
|
123 |
+ tmp=NaN*ones(x,y); |
|
124 |
+ |
|
125 |
+ for j=1:x |
|
126 |
+ no_NaN=find(~isnan(dat(j,:))); |
|
127 |
+ di = sqrt(sum([cod(:,no_NaN) - ONES*dat(j,no_NaN)].^2,2)); |
|
128 |
+ |
|
129 |
+ [foo,ind] = min(di); |
|
130 |
+ |
|
131 |
+ if d_class(j) & d_class(j) == c_class(ind) % 0 is for unclassified vectors |
|
132 |
+ tmp(ind,:) = cod(ind,:) + alpha * (dat(j,:) - cod(ind,:)); |
|
133 |
+ elseif d_class(j) |
|
134 |
+ tmp(ind,:) = cod(ind,:) - alpha*(dat(j,:) - cod(ind,:)); |
|
135 |
+ end |
|
136 |
+ end |
|
137 |
+ |
|
138 |
+ inds = find(~isnan(sum(tmp,2))); |
|
139 |
+ cod(inds,:) = tmp(inds,:); |
|
140 |
+end |
|
141 |
+ |
|
142 |
+codebook.codebook = cod; |
|
143 |
+ |
|
144 |
+sTrain = som_set('som_train','algorithm','lvq1',... |
|
145 |
+ 'data_name',data.name,... |
|
146 |
+ 'neigh','',... |
|
147 |
+ 'mask',ones(y,1),... |
|
148 |
+ 'radius_ini',NaN,... |
|
149 |
+ 'radius_fin',NaN,... |
|
150 |
+ 'alpha_ini',alpha,... |
|
151 |
+ 'alpha_type','constant',... |
|
152 |
+ 'trainlen',rlen,... |
|
153 |
+ 'time',datestr(now,0)); |
|
154 |
+codebook.trainhist(end+1) = sTrain; |
|
155 |
+ |
|
156 |
+return; |
|
157 |
+ |
|
158 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
159 |
+ |
|
160 |
+function nos = class2num(class) |
|
161 |
+ |
|
162 |
+names = {}; |
|
163 |
+nos = zeros(length(class),1); |
|
164 |
+ |
|
165 |
+for i=1:length(class) |
|
166 |
+ if ~isempty(class{i}) & ~any(strcmp(class{i},names)) |
|
167 |
+ names=cat(1,names,class(i)); |
|
168 |
+ end |
|
169 |
+end |
|
170 |
+ |
|
171 |
+tmp_nos = (1:length(names))'; |
|
172 |
+ |
|
173 |
+for i=1:length(class) |
|
174 |
+ if ~isempty(class{i}) |
|
175 |
+ nos(i,1) = find(strcmp(class{i},names)); |
|
176 |
+ end |
|
177 |
+end |
|
178 |
+ |
|
179 |
+ |
|
180 |
+ |
... | ... |
@@ -0,0 +1,215 @@ |
1 |
+function codebook = lvq3(codebook,data,rlen,alpha,win,epsilon) |
|
2 |
+ |
|
3 |
+%LVQ3 trains codebook with LVQ3 -algorithm |
|
4 |
+% |
|
5 |
+% sM = lvq3(sM,D,rlen,alpha,win,epsilon) |
|
6 |
+% |
|
7 |
+% sM = lvq3(sM,sD,50*length(sM.codebook),0.05,0.2,0.3); |
|
8 |
+% |
|
9 |
+% Input and output arguments: |
|
10 |
+% sM (struct) map struct, the class information must be |
|
11 |
+% present on the first column of .labels field |
|
12 |
+% D (struct) data struct, the class information must |
|
13 |
+% be present on the first column of .labels field |
|
14 |
+% rlen (scalar) running length |
|
15 |
+% alpha (scalar) learning parameter, e.g. 0.05 |
|
16 |
+% win (scalar) window width parameter, e.g. 0.25 |
|
17 |
+% epsilon (scalar) relative learning parameter, e.g. 0.3 |
|
18 |
+% |
|
19 |
+% sM (struct) map struct, the trained codebook |
|
20 |
+% |
|
21 |
+% NOTE: does not take mask into account. |
|
22 |
+% |
|
23 |
+% For more help, try 'type lvq3', or check out online documentation. |
|
24 |
+% See also LVQ1, SOM_SUPERVISED, SOM_SEQTRAIN. |
|
25 |
+ |
|
26 |
+%%%%%%%%%%%%% DETAILED DESCRIPTION %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
27 |
+% |
|
28 |
+% lvq3 |
|
29 |
+% |
|
30 |
+% PURPOSE |
|
31 |
+% |
|
32 |
+% Trains codebook with the LVQ3 -algorithm (described below). |
|
33 |
+% |
|
34 |
+% SYNTAX |
|
35 |
+% |
|
36 |
+% sM = lvq3(sM, data, rlen, alpha, win, epsilon) |
|
37 |
+% |
|
38 |
+% DESCRIPTION |
|
39 |
+% |
|
40 |
+% Trains codebook with the LVQ3 -algorithm. Codebook contains a number |
|
41 |
+% of vectors (mi, i=1,2,...,n) and so does data (vectors xj, j=1,2,...k). |
|
42 |
+% Both vector sets are classified: vectors may have a class (classes are |
|
43 |
+% set to data- or map -structure's 'labels' -field. For each xj the two |
|
44 |
+% closest codebookvectors mc1 and mc2 are searched (euclidean distances |
|
45 |
+% d1 and d2). xj must fall into the zone of window. That happens if: |
|
46 |
+% |
|
47 |
+% min(d1/d2, d2/d1) > s, where s = (1-win) / (1+win). |
|
48 |
+% |
|
49 |
+% If xj belongs to the same class of one of the mc1 and mc1, codebook |
|
50 |
+% is updated as follows (let mc1 belong to the same class as xj): |
|
51 |
+% mc1(t+1) = mc1(t) + alpha * (xj(t) - mc1(t)) |
|
52 |
+% mc2(t+1) = mc2(t) - alpha * (xj(t) - mc2(t)) |
|
53 |
+% If both mc1 and mc2 belong to the same class as xj, codebook is |
|
54 |
+% updated as follows: |
|
55 |
+% mc1(t+1) = mc1(t) + epsilon * alpha * (xj(t) - mc1(t)) |
|
56 |
+% mc2(t+1) = mc2(t) + epsilon * alpha * (xj(t) - mc2(t)) |
|
57 |
+% Otherwise updating is not performed. |
|
58 |
+% |
|
59 |
+% Argument 'rlen' tells how many times training -sequence is performed. |
|
60 |
+% |
|
61 |
+% Argument 'alpha' is recommended to be smaller than 0.1 and argument |
|
62 |
+% 'epsilon' should be between 0.1 and 0.5. |
|
63 |
+% |
|
64 |
+% NOTE: does not take mask into account. |
|
65 |
+% |
|
66 |
+% REFERENCES |
|
67 |
+% |
|
68 |
+% Kohonen, T., "Self-Organizing Map", 2nd ed., Springer-Verlag, |
|
69 |
+% Berlin, 1995, pp. 181-182. |
|
70 |
+% |
|
71 |
+% See also LVQ_PAK from http://www.cis.hut.fi/research/som_lvq_pak.shtml |
|
72 |
+% |
|
73 |
+% REQUIRED INPUT ARGUMENTS |
|
74 |
+% |
|
75 |
+% sM The data to be trained. |
|
76 |
+% (struct) A map struct. |
|
77 |
+% |
|
78 |
+% data The data to use in training. |
|
79 |
+% (struct) A data struct. |
|
80 |
+% |
|
81 |
+% rlen (integer) Running length of LVQ3 -algorithm. |
|
82 |
+% |
|
83 |
+% alpha (float) Learning rate used in training, e.g. 0.05 |
|
84 |
+% |
|
85 |
+% win (float) Window length, e.g. 0.25 |
|
86 |
+% |
|
87 |
+% epsilon (float) Relative learning parameter, e.g. 0.3 |
|
88 |
+% |
|
89 |
+% OUTPUT ARGUMENTS |
|
90 |
+% |
|
91 |
+% sM Trained data. |
|
92 |
+% (struct) A map struct. |
|
93 |
+% |
|
94 |
+% EXAMPLE |
|
95 |
+% |
|
96 |
+% lab = unique(sD.labels(:,1)); % different classes |
|
97 |
+% mu = length(lab)*5; % 5 prototypes for each |
|
98 |
+% sM = som_randinit(sD,'msize',[mu 1]); % initial prototypes |
|
99 |
+% sM.labels = [lab;lab;lab;lab;lab]; % their classes |
|
100 |
+% sM = lvq1(sM,sD,50*mu,0.05); % use LVQ1 to adjust |
|
101 |
+% % the prototypes |
|
102 |
+% sM = lvq3(sM,sD,50*mu,0.05,0.2,0.3); % then use LVQ3 |
|
103 |
+% |
|
104 |
+% SEE ALSO |
|
105 |
+% |
|
106 |
+% lvq1 Use LVQ1 algorithm for training. |
|
107 |
+% som_supervised Train SOM using supervised training. |
|
108 |
+% som_seqtrain Train SOM with sequential algorithm. |
|
109 |
+ |
|
110 |
+% Contributed to SOM Toolbox vs2, February 2nd, 2000 by Juha Parhankangas |
|
111 |
+% Copyright (c) by Juha Parhankangas |
|
112 |
+% http://www.cis.hut.fi/projects/somtoolbox/ |
|
113 |
+ |
|
114 |
+% Juha Parhankangas 310100 juuso 020200 |
|
115 |
+ |
|
116 |
+NOTFOUND = 1; |
|
117 |
+ |
|
118 |
+cod = codebook.codebook; |
|
119 |
+dat = data.data; |
|
120 |
+ |
|
121 |
+c_class = codebook.labels(:,1); |
|
122 |
+d_class = data.labels(:,1); |
|
123 |
+ |
|
124 |
+s = (1-win)/(1+win); |
|
125 |
+ |
|
126 |
+x = size(dat,1); |
|
127 |
+y = size(cod,2); |
|
128 |
+ |
|
129 |
+c_class=class2num(c_class); |
|
130 |
+d_class=class2num(d_class); |
|
131 |
+ |
|
132 |
+ONES=ones(size(cod,1),1); |
|
133 |
+ |
|
134 |
+for t=1:rlen |
|
135 |
+ fprintf('\rTraining round: %d/%d',t,rlen); |
|
136 |
+ tmp = NaN*ones(x,y); |
|
137 |
+ |
|
138 |
+ for j=1:x |
|
139 |
+ flag = 0; |
|
140 |
+ mj = 0; |
|
141 |
+ mi = 0; |
|
142 |
+ no_NaN=find(~isnan(dat(j,:))); |
|
143 |
+ di=sqrt(sum([cod(:,no_NaN) - ONES*dat(j,no_NaN)].^2,2)); |
|
144 |
+ [foo, ind1] = min(di); |
|
145 |
+ di(ind1)=Inf; |
|
146 |
+ [foo,ind2] = min(di); |
|
147 |
+ |
|
148 |
+ %ind2=ind2+1; |
|
149 |
+ |
|
150 |
+ if d_class(j) & d_class(j)==c_class(ind1) |
|
151 |
+ mj = ind1; |
|
152 |
+ mi = ind2; |
|
153 |
+ if d_class(j)==c_class(ind2) |
|
154 |
+ flag = 1; |
|
155 |
+ end |
|
156 |
+ elseif d_class(j) & d_class(j)==c_class(ind2) |
|
157 |
+ mj = ind2; |
|
158 |
+ mi = ind1; |
|
159 |
+ if d_class(j)==c_class(ind1) |
|
160 |
+ flag = 1; |
|
161 |
+ end |
|
162 |
+ end |
|
163 |
+ |
|
164 |
+ if mj & mi |
|
165 |
+ if flag |
|
166 |
+ tmp([mj mi],:) = cod([mj mi],:) + epsilon*alpha*... |
|
167 |
+ (dat([j j],:) - cod([mj mi],:)); |
|
168 |
+ else |
|
169 |
+ tmp(mj,:) = cod(mj,:) + alpha * (dat(j,:)-cod(mj,:)); |
|
170 |
+ tmp(mi,:) = cod(mi,:) - alpha * (dat(j,:)-cod(mj,:)); |
|
171 |
+ end |
|
172 |
+ end |
|
173 |
+ end |
|
174 |
+ inds = find(~isnan(sum(tmp,2))); |
|
175 |
+ cod(inds,:) = tmp(inds,:); |
|
176 |
+end |
|
177 |
+fprintf(1,'\n'); |
|
178 |
+ |
|
179 |
+sTrain = som_set('som_train','algorithm','lvq3',... |
|
180 |
+ 'data_name',data.name,... |
|
181 |
+ 'neigh','',... |
|
182 |
+ 'mask',ones(y,1),... |
|
183 |
+ 'radius_ini',NaN,... |
|
184 |
+ 'radius_fin',NaN,... |
|
185 |
+ 'alpha_ini',alpha,... |
|
186 |
+ 'alpha_type','constant',... |
|
187 |
+ 'trainlen',rlen,... |
|
188 |
+ 'time',datestr(now,0)); |
|
189 |
+codebook.trainhist(end+1) = sTrain; |
|
190 |
+ |
|
191 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
192 |
+ |
|
193 |
+function nos = class2num(class) |
|
194 |
+ |
|
195 |
+names = {}; |
|
196 |
+nos = zeros(length(class),1); |
|
197 |
+ |
|
198 |
+for i=1:length(class) |
|
199 |
+ if ~isempty(class{i}) & ~any(strcmp(class{i},names)) |
|
200 |
+ names=cat(1,names,class(i)); |
|
201 |
+ end |
|
202 |
+end |
|
203 |
+ |
|
204 |
+tmp_nos = (1:length(names))'; |
|
205 |
+ |
|
206 |
+for i=1:length(class) |
|
207 |
+ if ~isempty(class{i}) |
|
208 |
+ nos(i,1) = find(strcmp(class{i},names)); |
|
209 |
+ end |
|
210 |
+end |
|
211 |
+ |
|
212 |
+ |
|
213 |
+ |
|
214 |
+ |
|
215 |
+ |
... | ... |
@@ -0,0 +1,65 @@ |
1 |
+function [me, st, md, no] = nanstats(D) |
|
2 |
+ |
|
3 |
+%NANSTATS Statistical operations that ignore NaNs and Infs. |
|
4 |
+% |
|
5 |
+% [mean, std, median, nans] = nanstats(D) |
|
6 |
+% |
|
7 |
+% Input and output arguments: |
|
8 |
+% D (struct) data or map struct |
|
9 |
+% (matrix) size dlen x dim |
|
10 |
+% |
|
11 |
+% me (double) columnwise mean |
|
12 |
+% st (double) columnwise standard deviation |
|
13 |
+% md (double) columnwise median |
|
14 |
+% no (vector) columnwise number of samples (finite, not-NaN) |
|
15 |
+ |
|
16 |
+% Contributed to SOM Toolbox vs2, February 2nd, 2000 by Juha Vesanto |
|
17 |
+% http://www.cis.hut.fi/projects/somtoolbox/ |
|
18 |
+ |
|
19 |
+% Version 2.0beta juuso 300798 200900 |
|
20 |
+ |
|
21 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
22 |
+%% check arguments |
|
23 |
+ |
|
24 |
+(nargchk(1, 1, nargin)); % check no. of input args is correct |
|
25 |
+ |
|
26 |
+if isstruct(D), |
|
27 |
+ if strcmp(D.type,'som_map'), D = D.codebook; |
|
28 |
+ else D = D.data; |
|
29 |
+ end |
|
30 |
+end |
|
31 |
+[dlen dim] = size(D); |
|
32 |
+me = zeros(dim,1)+NaN; |
|
33 |
+md = me; |
|
34 |
+st = me; |
|
35 |
+no = me; |
|
36 |
+ |
|
37 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
38 |
+%% computation |
|
39 |
+ |
|
40 |
+for i = 1:dim, |
|
41 |
+ ind = find(isfinite(D(:, i))); % indices of non-NaN/Inf elements |
|
42 |
+ n = length(ind); % no of non-NaN/Inf elements |
|
43 |
+ |
|
44 |
+ me(i) = sum(D(ind, i)); % compute average |
|
45 |
+ if n == 0, me(i) = NaN; else me(i) = me(i) / n; end |
|
46 |
+ |
|
47 |
+ if nargout>1, |
|
48 |
+ md(i) = median(D(ind, i)); % compute median |
|
49 |
+ |
|
50 |
+ if nargout>2, |
|
51 |
+ st(i) = sum((me(i) - D(ind, i)).^2); % compute standard deviation |
|
52 |
+ if n == 0, st(i) = NaN; |
|
53 |
+ elseif n == 1, st(i) = 0; |
|
54 |
+ else st(i) = sqrt(st(i) / (n - 1)); |
|
55 |
+ end |
|
56 |
+ |
|
57 |
+ if nargout>3, |
|
58 |
+ no(i) = n; % number of samples (finite, not-NaN) |
|
59 |
+ end |
|
60 |
+ end |
|
61 |
+ end |
|
62 |
+end |
|
63 |
+ |
|
64 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
65 |
+ |
... | ... |
@@ -0,0 +1,89 @@ |
1 |
+function [Neurons] = neural_gas(D,n,epochs,alpha0,lambda0) |
|
2 |
+ |
|
3 |
+%NEURAL_GAS Quantizes the data space using the neural gas algorithm. |
|
4 |
+% |
|
5 |
+% Neurons = neural_gas(D, n, epochs, [alpha0], [lambda0]) |
|
6 |
+% |
|
7 |
+% C = neural_gas(D,50,10); |
|
8 |
+% sM = som_map_struct(sD); |
|
9 |
+% sM.codebook = neural_gas(sD,size(sM.codebook,1),10); |
|
10 |
+% |
|
11 |
+% Input and output arguments ([]'s are optional): |
|
12 |
+% D (matrix) the data matrix, size dlen x dim |
|
13 |
+% (struct) a data struct |
|
14 |
+% n (scalar) the number of neurons |
|
15 |
+% epochs (scalar) the number of training epochs (the number of |
|
16 |
+% training steps is dlen*epochs) |
|
17 |
+% [alpha0] (scalar) initial step size, 0.5 by default |
|
18 |
+% [lambda0] (scalar) initial decay constant, n/2 by default |
|
19 |
+% |
|
20 |
+% Neurons (matrix) the neuron matrix, size n x dim |
|
21 |
+% |
|
22 |
+% See also SOM_MAKE, KMEANS. |
|
23 |
+ |
|
24 |
+% References: |
|
25 |
+% T.M.Martinetz, S.G.Berkovich, and K.J.Schulten. "Neural-gas" network |
|
26 |
+% for vector quantization and its application to time-series prediction. |
|
27 |
+% IEEE Transactions on Neural Networks, 4(4):558-569, 1993. |
|
28 |
+ |
|
29 |
+% Contributed to SOM Toolbox vs2, February 2nd, 2000 by Juha Vesanto |
|
30 |
+% Copyright (c) by Juha Vesanto |
|
31 |
+% http://www.cis.hut.fi/projects/somtoolbox/ |
|
32 |
+ |
|
33 |
+% juuso 101297 020200 |
|
34 |
+ |
|
35 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
36 |
+%% Check arguments and initialize |
|
37 |
+ |
|
38 |
+error(nargchk(3, 5, nargin)); % check the number of input arguments |
|
39 |
+ |
|
40 |
+if isstruct(D), D = D.data; end |
|
41 |
+[dlen,dim] = size(D); |
|
42 |
+Neurons = (rand(n,dim)-0.5)*10e-5; % small initial values |
|
43 |
+train_len = epochs*dlen; |
|
44 |
+ |
|
45 |
+if nargin<4 | isempty(alpha0) | isnan(alpha0), alpha0 = 0.5; end |
|
46 |
+if nargin<5 | isempty(lambda0) | isnan(lambda0), lambda0 = n/2; end |
|
47 |
+ |
|
48 |
+% random sample order |
|
49 |
+rand('state',sum(100*clock)); |
|
50 |
+sample_inds = ceil(dlen*rand(train_len,1)); |
|
51 |
+ |
|
52 |
+% lambda |
|
53 |
+lambda = lambda0 * (0.01/lambda0).^([0:(train_len-1)]/train_len); |
|
54 |
+ |
|
55 |
+% alpha |
|
56 |
+alpha = alpha0 * (0.005/alpha0).^([0:(train_len-1)]/train_len); |
|
57 |
+ |
|
58 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
59 |
+%% Action |
|
60 |
+ |
|
61 |
+for i=1:train_len, |
|
62 |
+ |
|
63 |
+ % sample vector |
|
64 |
+ x = D(sample_inds(i),:); % sample vector |
|
65 |
+ known = ~isnan(x); % its known components |
|
66 |
+ X = x(ones(n,1),known); % we'll need this |
|
67 |
+ |
|
68 |
+ % neighborhood ranking |
|
69 |
+ Dx = Neurons(:,known) - X; % difference between vector and all map units |
|
70 |
+ [qerrs, inds] = sort((Dx.^2)*known'); % 1-BMU, 2-BMU, etc. |
|
71 |
+ ranking(inds) = [0:(n-1)]; |
|
72 |
+ h = exp(-ranking/lambda(i)); |
|
73 |
+ H = h(ones(length(known),1),:)'; |
|
74 |
+ |
|
75 |
+ % update |
|
76 |
+ Neurons = Neurons + alpha(i)*H.*(x(ones(n,1),known) - Neurons(:,known)); |
|
77 |
+ |
|
78 |
+ % track |
|
79 |
+ fprintf(1,'%d / %d \r',i,train_len); |
|
80 |
+ if 0 & mod(i,50) == 0, |
|
81 |
+ hold off, plot3(D(:,1),D(:,2),D(:,3),'bo') |
|
82 |
+ hold on, plot3(Neurons(:,1),Neurons(:,2),Neurons(:,3),'r+') |
|
83 |
+ drawnow |
|
84 |
+ end |
|
85 |
+end |
|
86 |
+ |
|
87 |
+fprintf(1,'\n'); |
|
88 |
+ |
|
89 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
0 | 90 |
\ No newline at end of file |
... | ... |
@@ -0,0 +1,80 @@ |
1 |
+function [P,V,me,l] = pcaproj(D,arg1,arg2) |
|
2 |
+ |
|
3 |
+%PCAPROJ Projects data vectors using Principal Component Analysis. |
|
4 |
+% |
|
5 |
+% [P,V,me,l] = pcaproj(D, odim) |
|
6 |
+% P = pcaproj(D, V, me) |
|
7 |
+% |
|
8 |
+% Input and output arguments ([]'s are optional) |
|
9 |
+% D (matrix) size dlen x dim, the data matrix |
|
10 |
+% (struct) data or map struct |
|
11 |
+% odim (scalar) how many principal vectors are used |
|
12 |
+% |
|
13 |
+% P (matrix) size dlen x odim, the projections |
|
14 |
+% V (matrix) size dim x odim, principal eigenvectors (unit length) |
|
15 |
+% me (vector) size 1 x dim, center point of D |
|
16 |
+% l (vector) size 1 x odim, the corresponding eigenvalues, |
|
17 |
+% relative to total sum of eigenvalues |
|
18 |
+% |
|
19 |
+% See also SAMMON, CCA. |
|
20 |
+ |
|
21 |
+% Contributed to SOM Toolbox 2.0, February 2nd, 2000 by Juha Vesanto |
|
22 |
+% Copyright (c) by Juha Vesanto |
|
23 |
+% http://www.cis.hut.fi/projects/somtoolbox/ |
|
24 |
+ |
|
25 |
+% juuso 191297 070200 |
|
26 |
+ |
|
27 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
28 |
+ |
|
29 |
+error(nargchk(2, 3, nargin)); % check the number of input arguments |
|
30 |
+ |
|
31 |
+% the data |
|
32 |
+if isstruct(D), |
|
33 |
+ if strcmp(D.type,'som_map'), D=D.codebook; else D=D.data; end |
|
34 |
+end |
|
35 |
+[dlen dim] = size(D); |
|
36 |
+ |
|
37 |
+if nargin==2, |
|
38 |
+ |
|
39 |
+ odim = arg1; |
|
40 |
+ |
|
41 |
+ % autocorrelation matrix |
|
42 |
+ A = zeros(dim); |
|
43 |
+ me = zeros(1,dim); |
|
44 |
+ for i=1:dim, |
|
45 |
+ me(i) = mean(D(isfinite(D(:,i)),i)); |
|
46 |
+ D(:,i) = D(:,i) - me(i); |
|
47 |
+ end |
|
48 |
+ for i=1:dim, |
|
49 |
+ for j=i:dim, |
|
50 |
+ c = D(:,i).*D(:,j); c = c(isfinite(c)); |
|
51 |
+ A(i,j) = sum(c)/length(c); A(j,i) = A(i,j); |
|
52 |
+ end |
|
53 |
+ end |
|
54 |
+ |
|
55 |
+ % eigenvectors, sort them according to eigenvalues, and normalize |
|
56 |
+ [V,S] = eig(A); |
|
57 |
+ eigval = diag(S); |
|
58 |
+ [y,ind] = sort(abs(eigval)); |
|
59 |
+ eigval = eigval(flipud(ind)); |
|
60 |
+ V = V(:,flipud(ind)); |
|
61 |
+ for i=1:odim, V(:,i) = (V(:,i) / norm(V(:,i))); end |
|
62 |
+ |
|
63 |
+ % take only odim first eigenvectors |
|
64 |
+ V = V(:,1:odim); |
|
65 |
+ l = abs(eigval)/sum(abs(eigval)); |
|
66 |
+ l = l(1:odim); |
|
67 |
+ |
|
68 |
+else % nargin==3, |
|
69 |
+ |
|
70 |
+ V = arg1; |
|
71 |
+ me = arg2; |
|
72 |
+ odim = size(V,2); |
|
73 |
+ D = D-me(ones(dlen,1),:); |
|
74 |
+ |
|
75 |
+end |
|
76 |
+ |
|
77 |
+% project the data using odim first eigenvectors |
|
78 |
+P = D*V; |
|
79 |
+ |
|
80 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
... | ... |
@@ -0,0 +1,6642 @@ |
1 |
+function preprocess(sData,arg2) |
|
2 |
+ |
|
3 |
+%PREPROCESS A GUI for data preprocessing. |
|
4 |
+% |
|
5 |
+% preprocess(sData) |
|
6 |
+% |
|
7 |
+% preprocess(sData) |
|
8 |
+% |
|
9 |
+% Launches a preprocessing GUI. The optional input argument can be |
|
10 |
+% either a data struct or a struct array of such. However, primarily |
|
11 |
+% the processed data sets are loaded to the application using the |
|
12 |
+% tools in the GUI. Also, the only way to get the preprocessed data |
|
13 |
+% sets back into the workspace is to use the tools in the GUI (press |
|
14 |
+% the button DATA SET MANAGEMENT). |
|
15 |
+% |
|
16 |
+% For a more throughout description, see online documentation. |
|
17 |
+% See also SOM_GUI. |
|
18 |
+ |
|
19 |
+%%%%%%%%%%%% DETAILED DESCRIPTION %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
20 |
+% |
|
21 |
+% IN FILES: preprocess.html,preproc.jpg,sDman.jpg,clip.jpg,delay.jpg,window.jpg,selVect.jpg |
|
22 |
+ |
|
23 |
+% Contributed to SOM Toolbox vs2, February 2nd, 2000 by Juha Parhankangas |
|
24 |
+% Copyright (c) by Juha Parhankangas and the SOM Toolbox team |
|
25 |
+ |
|
26 |
+% http://www.cis.hut.fi/projects/somtoolbox/ |
|
27 |
+ |
|
28 |
+% Juha Parhankangas 050100 |
|
29 |
+ |
|
30 |
+global no_of_sc % every Nth component in 'relative values' is drawn stronger. |
|
31 |
+no_of_sc=5; |
|
32 |
+ |
|
33 |
+if nargin < 1 | nargin > 2 |
|
34 |
+ error('Invalid number of input arguments'); |
|
35 |
+ return; |
|
36 |
+end |
|
37 |
+ |
|
38 |
+if nargin == 1, arg2=[]; end |
|
39 |
+ |
|
40 |
+if ~isstr(sData) %%% Preprocess is started... |
|
41 |
+data.LOG{1}='% Starting the ''Preprocess'' -window...'; |
|
42 |
+data.LOG{2}=cat(2,'preprocess(',... |
|
43 |
+ sprintf('%s);',inputname(1))); |
|
44 |
+ |
|
45 |
+pre_h=findobj(get(0,'Children'),'Tag','Preprocess'); |
|
46 |
+if ~isempty(pre_h) |
|
47 |
+ figure(pre_h); |
|
48 |
+ msgbox('''Preprocess''-figure already exists.'); |
|
49 |
+ return; |
|
50 |
+end |
|
51 |
+ |
|
52 |
+h0 = figure('Color',[0.8 0.8 0.8], ... |
|
53 |
+ 'PaperPosition',[18 180 576 432], ... |
|
54 |
+ 'PaperUnits','points', ... |
|
55 |
+ 'Position',[595 216 600 775], ... |
|
56 |
+ 'Tag','Preprocess'); |
|
57 |
+ |
|
58 |
+h1 = uicontrol('Parent',h0, ... |
|
59 |
+ 'Units','normalized', ... |
|
60 |
+ 'BackgroundColor',[0.752941176470588 0.752941176470588 0.752941176470588], ... |
|
61 |
+ 'FontWeight','demi', ... |
|
62 |
+ 'HorizontalAlignment','left', ... |
|
63 |
+ 'ListboxTop',0, ... |
|
64 |
+ 'Position',[0.015 0.06064516129032258 0.9550000000000001 0.1458064516129032], ... |
|
65 |
+ 'Style','text', ... |
|
66 |
+ 'Tag','StaticText1'); |
|
67 |
+ |
|
68 |
+data.results_h = h1; |
|
69 |
+ |
|
70 |
+h1 = uicontrol('Parent',h0, ... |
|
71 |
+ 'Units','normalized', ... |
|
72 |
+ 'BackgroundColor',[0.752941176470588 0.752941176470588 0.752941176470588], ... |
|
73 |
+ 'Callback','preprocess close', ... |
|
74 |
+ 'FontWeight','demi', ... |
|
75 |
+ 'ListboxTop',0, ... |
|
76 |
+ 'Position',[0.8067 0.0142 0.1667 0.0348],... |
|
77 |
+ 'String','CLOSE', ... |
|
78 |
+ 'Tag','Pushbutton1'); |
|
79 |
+ |
|
80 |
+h1 = uicontrol('Parent',h0, ... |
|
81 |
+ 'Units','normalized', ... |
|
82 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
83 |
+ 'FontWeight','demi', ... |
|
84 |
+ 'HorizontalAlignment','left', ... |
|
85 |
+ 'ListboxTop',0, ... |
|
86 |
+ 'Position',[0.01833333333333333 0.2141935483870968 0.07000000000000001 0.01806451612903226], ... |
|
87 |
+ 'String','LOG', ... |
|
88 |
+ 'Style','text', ... |
|
89 |
+ 'Tag','StaticText2'); |
|
90 |
+ |
|
91 |
+h1 = uicontrol('Parent',h0, ... |
|
92 |
+ 'Units','normalized', ... |
|
93 |
+ 'BackgroundColor',[0.752941176470588 0.752941176470588 0.752941176470588], ... |
|
94 |
+ 'Callback','preprocess sel_comp',... |
|
95 |
+ 'FontWeight','demi', ... |
|
96 |
+ 'ListboxTop',0, ... |
|
97 |
+ 'Position',[0.7983333333333333 0.2090322580645161 0.1666666666666667 0.03483870967741935], ... |
|
98 |
+ 'String',' ', ... |
|
99 |
+ 'Style','popupmenu', ... |
|
100 |
+ 'Tag','sel_comp_h', ... |
|
101 |
+ 'Value',1); |
|
102 |
+ |
|
103 |
+data.sel_comp_h=h1; |
|
104 |
+ |
|
105 |
+h1 = uicontrol('Parent',h0, ... |
|
106 |
+ 'Units','normalized', ... |
|
107 |
+ 'BackgroundColor',[1 1 1], ... |
|
108 |
+ 'ListboxTop',0, ... |
|
109 |
+ 'Position',[0.0183 0.2568 0.2133 0.1290], ... |
|
110 |
+ 'Style','text', ... |
|
111 |
+ 'Tag','StaticText3'); |
|
112 |
+ |
|
113 |
+data.sel_cdata_h=h1; |
|
114 |
+ |
|
115 |
+h1 = axes('Parent',h0, ... |
|
116 |
+ 'CameraUpVector',[0 1 0], ... |
|
117 |
+ 'CameraUpVectorMode','manual', ... |
|
118 |
+ 'Color',[1 1 1], ... |
|
119 |
+ 'Position',[0.2583 0.2568 0.2133 0.1290], ... |
|
120 |
+ 'Tag','Axes1', ... |
|
121 |
+ 'XColor',[0 0 0], ... |
|
122 |
+ 'XTickLabel',['0 ';'0.5';'1 '], ... |
|
123 |
+ 'XTickLabelMode','manual', ... |
|
124 |
+ 'XTickMode','manual', ... |
|
125 |
+ 'YColor',[0 0 0], ... |
|
126 |
+ 'YTickMode','manual', ... |
|
127 |
+ 'ZColor',[0 0 0]); |
|
128 |
+ |
|
129 |
+data.sel_chist_h=h1; |
|
130 |
+ |
|
131 |
+h2 = text('Parent',h1, ... |
|
132 |
+ 'Color',[0 0 0], ... |
|
133 |
+ 'HandleVisibility','off', ... |
|
134 |
+ 'HorizontalAlignment','center', ... |
|
135 |
+ 'Position',[0.4960629921259843 -0.08080808080808044 9.160254037844386], ... |
|
136 |
+ 'Tag','Axes1Text4', ... |
|
137 |
+ 'VerticalAlignment','cap'); |
|
138 |
+set(get(h2,'Parent'),'XLabel',h2); |
|
139 |
+h2 = text('Parent',h1, ... |
|
140 |
+ 'Color',[0 0 0], ... |
|
141 |
+ 'HandleVisibility','off', ... |
|
142 |
+ 'HorizontalAlignment','center', ... |
|
143 |
+ 'Position',[-0.0551181102362206 0.4848484848484853 9.160254037844386], ... |
|
144 |
+ 'Rotation',90, ... |
|
145 |
+ 'Tag','Axes1Text3', ... |
|
146 |
+ 'VerticalAlignment','baseline'); |
|
147 |
+set(get(h2,'Parent'),'YLabel',h2); |
|
148 |
+h2 = text('Parent',h1, ... |
|
149 |
+ 'Color',[0 0 0], ... |
|
150 |
+ 'HandleVisibility','off', ... |
|
151 |
+ 'HorizontalAlignment','right', ... |
|
152 |
+ 'Position',[-1.2283 5.7980 9.1603], ... |
|
153 |
+ 'Tag','Axes1Text2', ... |
|
154 |
+ 'Visible','off'); |
|
155 |
+set(get(h2,'Parent'),'ZLabel',h2); |
|
156 |
+h2 = text('Parent',h1, ... |
|
157 |
+ 'Color',[0 0 0], ... |
|
158 |
+ 'HandleVisibility','off', ... |
|
159 |
+ 'HorizontalAlignment','center', ... |
|
160 |
+ 'Position',[0.4960629921259843 1.070707070707071 9.160254037844386], ... |
|
161 |
+ 'Tag','Axes1Text1', ... |
|
162 |
+ 'VerticalAlignment','bottom'); |
|
163 |
+set(get(h2,'Parent'),'Title',h2); |
|
164 |
+ |
|
165 |
+h1 = axes('Parent',h0, ... |
|
166 |
+ 'CameraUpVector',[0 1 0], ... |
|
167 |
+ 'CameraUpVectorMode','manual', ... |
|
168 |
+ 'Color',[0.7529 0.7529 0.7529], ... |
|
169 |
+ 'Position',[0.4950000000000001 0.2567741935483871 0.4766666666666667 0.1290322580645161], ... |
|
170 |
+ 'Tag','Axes2', ... |
|
171 |
+ 'XColor',[0 0 0], ... |
|
172 |
+ 'XTickMode','manual', ... |
|
173 |
+ 'YColor',[0 0 0], ... |
|
174 |
+ 'YTick',[0 0.5 1], ... |
|
175 |
+ 'YTickMode','manual', ... |
|
176 |
+ 'ZColor',[0 0 0]); |
|
177 |
+ |
|
178 |
+data.vector_h=h1; |
|
179 |
+ |
|
180 |
+h2 = text('Parent',h1, ... |
|
181 |
+ 'Color',[0 0 0], ... |
|
182 |
+ 'HandleVisibility','off', ... |
|
183 |
+ 'HorizontalAlignment','center', ... |
|
184 |
+ 'Position',[0.4982456140350879 -0.08080808080808044 9.160254037844386], ... |
|
185 |
+ 'Tag','Axes2Text4', ... |
|
186 |
+ 'VerticalAlignment','cap'); |
|
187 |
+set(get(h2,'Parent'),'XLabel',h2); |
|
188 |
+h2 = text('Parent',h1, ... |
|
189 |
+ 'Color',[0 0 0], ... |
|
190 |
+ 'HandleVisibility','off', ... |
|
191 |
+ 'HorizontalAlignment','center', ... |
|
192 |
+ 'Position',[-0.1018 0.4848 9.1603], ... |
|
193 |
+ 'Rotation',90, ... |
|
194 |
+ 'Tag','Axes2Text3', ... |
|
195 |
+ 'VerticalAlignment','baseline'); |
|
196 |
+set(get(h2,'Parent'),'YLabel',h2); |
|
197 |
+h2 = text('Parent',h1, ... |
|
198 |
+ 'Color',[0 0 0], ... |
|
199 |
+ 'HandleVisibility','off', ... |
|
200 |
+ 'HorizontalAlignment','right', ... |
|
201 |
+ 'Position',[-1.045614035087719 5.797979797979799 9.160254037844386], ... |
|
202 |
+ 'Tag','Axes2Text2', ... |
|
203 |
+ 'Visible','off'); |
|
204 |
+set(get(h2,'Parent'),'ZLabel',h2); |
|
205 |
+h2 = text('Parent',h1, ... |
|
206 |
+ 'Color',[0 0 0], ... |
|
207 |
+ 'HandleVisibility','off', ... |
|
208 |
+ 'HorizontalAlignment','center', ... |
|
209 |
+ 'Position',[0.4982456140350879 1.070707070707071 9.160254037844386], ... |
|
210 |
+ 'Tag','Axes2Text1', ... |
|
211 |
+ 'VerticalAlignment','bottom'); |
|
212 |
+set(get(h2,'Parent'),'Title',h2); |
|
213 |
+ |
|
214 |
+h1 = uicontrol('Parent',h0, ... |
|
215 |
+ 'Units','normalized', ... |
|
216 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
217 |
+ 'FontWeight','demi', ... |
|
218 |
+ 'HorizontalAlignment','left', ... |
|
219 |
+ 'ListboxTop',0, ... |
|
220 |
+ 'Position',[0.01833333333333333 0.3922580645161291 0.17 0.01806451612903226], ... |
|
221 |
+ 'String','STATISTICS', ... |
|
222 |
+ 'Style','text', ... |
|
223 |
+ 'Tag','StaticText4'); |
|
224 |
+ |
|
225 |
+h1 = uicontrol('Parent',h0, ... |
|
226 |
+ 'Units','normalized', ... |
|
227 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
228 |
+ 'FontWeight','demi', ... |
|
229 |
+ 'HorizontalAlignment','left', ... |
|
230 |
+ 'ListboxTop',0, ... |
|
231 |
+ 'Position',[0.2583333333333334 0.3922580645161291 0.1633333333333333 0.01806451612903226], ... |
|
232 |
+ 'String','HISTOGRAM', ... |
|
233 |
+ 'Style','text', ... |
|
234 |
+ 'Tag','StaticText5'); |
|
235 |
+ |
|
236 |
+h1 = uicontrol('Parent',h0, ... |
|
237 |
+ 'Units','normalized', ... |
|
238 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
239 |
+ 'FontWeight','demi',... |
|
240 |
+ 'FontSize',6,... |
|
241 |
+ 'HorizontalAlignment','left',... |
|
242 |
+ 'String',{'LEFT: NEW SELECTION';'RIGHT: ADD TO SELECTION'}, ... |
|
243 |
+ 'ListboxTop',0, ... |
|
244 |
+ 'Position',[0.5016666666666667 0.38 0.235 0.03741935483870968], ... |
|
245 |
+ 'Style','text', ... |
|
246 |
+ 'Tag','StaticText6', ... |
|
247 |
+ 'UserData','[ ]'); |
|
248 |
+ |
|
249 |
+h1 = uicontrol('Parent',h0, ... |
|
250 |
+ 'Units','normalized', ... |
|
251 |
+ 'BackgroundColor',[0.752941176470588 0.752941176470588 0.752941176470588], ... |
|
252 |
+ 'Callback','preprocess selall', ... |
|
253 |
+ 'FontWeight','demi', ... |
|
254 |
+ 'ListboxTop',0, ... |
|
255 |
+ 'Position',[0.8066666666666668 0.3922580645161291 0.1666666666666667 0.03483870967741935], ... |
|
256 |
+ 'String','SELECT ALL', ... |
|
257 |
+ 'Tag','Pushbutton2', ... |
|
258 |
+ 'UserData','[ ]'); |
|
259 |
+ |
|
260 |
+h1 = uicontrol('Parent',h0, ... |
|
261 |
+ 'Units','normalized', ... |
|
262 |
+ 'BackgroundColor',[0.7529 0.7529 0.7529], ... |
|
263 |
+ 'Position',[0.01833333333333333 0.4503225806451613 0.23 0.3225806451612903], ... |
|
264 |
+ 'String',' ', ... |
|
265 |
+ 'Style','listbox', ... |
|
266 |
+ 'Tag','Listbox1', ... |
|
267 |
+ 'Value',1); |
|
268 |
+ |
|
269 |
+data.comp_names_h=h1; |
|
270 |
+ |
|
271 |
+h1 = uicontrol('Parent',h0, ... |
|
272 |
+ 'Units','normalized', ... |
|
273 |
+ 'BackgroundColor',[1 1 1], ... |
|
274 |
+ 'Position',[0.4950000000000001 0.4503225806451613 0.2333333333333333 0.3225806451612903], ... |
|
275 |
+ 'String',' ', ... |
|
276 |
+ 'Style','listbox', ... |
|
277 |
+ 'Tag','Listbox2', ... |
|
278 |
+ 'Value',1); |
|
279 |
+ |
|
280 |
+data.vect_mean_h = h1; |
|
281 |
+ |
|
282 |
+h1 = axes('Parent',h0, ... |
|
283 |
+ 'CameraUpVector',[0 1 0], ... |
|
284 |
+ 'CameraUpVectorMode','manual', ... |
|
285 |
+ 'Color',[1 1 1], ... |
|
286 |
+ 'Position',[0.7383333333333334 0.4503225806451613 0.2333333333333333 0.3225806451612903], ... |
|
287 |
+ 'Tag','Axes3', ... |
|
288 |
+ 'XColor',[0 0 0], ... |
|
289 |
+ 'XTickMode','manual', ... |
|
290 |
+ 'YColor',[0 0 0], ... |
|
291 |
+ 'YTickMode','manual', ... |
|
292 |
+ 'ZColor',[0 0 0]); |
|
293 |
+ |
|
294 |
+data.sel_cplot_h = h1; |
|
295 |
+ |
|
296 |
+h2 = text('Parent',h1, ... |
|
297 |
+ 'Color',[0 0 0], ... |
|
298 |
+ 'HandleVisibility','off', ... |
|
299 |
+ 'HorizontalAlignment','center', ... |
|
300 |
+ 'Position',[0.4964028776978418 -0.03212851405622486 9.160254037844386], ... |
|
301 |
+ 'Tag','Axes3Text4', ... |
|
302 |
+ 'VerticalAlignment','cap'); |
|
303 |
+set(get(h2,'Parent'),'XLabel',h2); |
|
304 |
+h2 = text('Parent',h1, ... |
|
305 |
+ 'Color',[0 0 0], ... |
|
306 |
+ 'HandleVisibility','off', ... |
|
307 |
+ 'HorizontalAlignment','center', ... |
|
308 |
+ 'Position',[-0.05035971223021596 0.493975903614458 9.160254037844386], ... |
|
309 |
+ 'Rotation',90, ... |
|
310 |
+ 'Tag','Axes3Text3', ... |
|
311 |
+ 'VerticalAlignment','baseline'); |
|
312 |
+set(get(h2,'Parent'),'YLabel',h2); |
|
313 |
+h2 = text('Parent',h1, ... |
|
314 |
+ 'Color',[0 0 0], ... |
|
315 |
+ 'HandleVisibility','off', ... |
|
316 |
+ 'HorizontalAlignment','right', ... |
|
317 |
+ 'Position',[-3.1942 1.7028 9.1603], ... |
|
318 |
+ 'Tag','Axes3Text2', ... |
|
319 |
+ 'Visible','off'); |
|
320 |
+set(get(h2,'Parent'),'ZLabel',h2); |
|
321 |
+h2 = text('Parent',h1, ... |
|
322 |
+ 'Color',[0 0 0], ... |
|
323 |
+ 'HandleVisibility','off', ... |
|
324 |
+ 'HorizontalAlignment','center', ... |
|
325 |
+ 'Position',[0.4964028776978418 1.028112449799197 9.160254037844386], ... |
|
326 |
+ 'Tag','Axes3Text1', ... |
|
327 |
+ 'VerticalAlignment','bottom'); |
|
328 |
+set(get(h2,'Parent'),'Title',h2); |
|
329 |
+ |
|
330 |
+h1 = uicontrol('Parent',h0, ... |
|
331 |
+ 'Units','normalized', ... |
|
332 |
+ 'BackgroundColor',[0.752941176470588 0.752941176470588 0.752941176470588], ... |
|
333 |
+ 'Callback','preprocess plxy', ... |
|
334 |
+ 'FontWeight','demi', ... |
|
335 |
+ 'ListboxTop',0, ... |
|
336 |
+ 'Position',[0.265 0.4683870967741936 0.125 0.03483870967741935], ... |
|
337 |
+ 'String','XY-PLOT', ... |
|
338 |
+ 'Tag','Pushbutton3'); |
|
339 |
+ |
|
340 |
+h1 = uicontrol('Parent',h0, ... |
|
341 |
+ 'Units','normalized', ... |
|
342 |
+ 'BackgroundColor',[0.752941176470588 0.752941176470588 0.752941176470588], ... |
|
343 |
+ 'Callback','preprocess hist', ... |
|
344 |
+ 'FontWeight','demi', ... |
|
345 |
+ 'ListboxTop',0, ... |
|
346 |
+ 'Position',[0.265 0.5303225806451613 0.125 0.03483870967741935], ... |
|
347 |
+ 'String','HISTOGRAM', ... |
|
348 |
+ 'Tag','Pushbutton4'); |
|
349 |
+ |
|
350 |
+h1 = uicontrol('Parent',h0, ... |
|
351 |
+ 'Units','normalized', ... |
|
352 |
+ 'BackgroundColor',[0.752941176470588 0.752941176470588 0.752941176470588], ... |
|
353 |
+ 'Callback','preprocess bplo', ... |
|
354 |
+ 'FontWeight','demi', ... |
|
355 |
+ 'ListboxTop',0, ... |
|
356 |
+ 'Position',[0.265 0.5922580645161291 0.125 0.03483870967741935], ... |
|
357 |
+ 'String','BOX PLOT', ... |
|
358 |
+ 'Tag','Pushbutton5'); |
|
359 |
+ |
|
360 |
+h1 = uicontrol('Parent',h0, ... |
|
361 |
+ 'Units','normalized', ... |
|
362 |
+ 'BackgroundColor',[0.752941176470588 0.752941176470588 0.752941176470588], ... |
|
363 |
+ 'Callback','preprocess plot', ... |
|
364 |
+ 'FontWeight','demi', ... |
|
365 |
+ 'ListboxTop',0, ... |
|
366 |
+ 'Position',[0.265 0.654195483870968 0.125 0.03483870967741935], ... |
|
367 |
+ 'String','PLOT', ... |
|
368 |
+ 'Tag','Pushbutton6'); |
|
369 |
+ |
|
370 |
+h1 = uicontrol('Parent',h0, ... |
|
371 |
+ 'Units','normalized', ... |
|
372 |
+ 'BackgroundColor',[1 1 1], ... |
|
373 |
+ 'ListboxTop',0, ... |
|
374 |
+ 'Position',[0.4088888888888889 0.5333333333333333 0.06 0.03268817204301075], ... |
|
375 |
+ 'String','30', ... |
|
376 |
+ 'Style','edit', ... |
|
377 |
+ 'Tag','EditText1'); |
|
378 |
+ |
|
379 |
+data.no_of_bins_h = h1; |
|
380 |
+ |
|
381 |
+ |
|
382 |
+h1 = uicontrol('Parent',h0, ... |
|
383 |
+ 'Units','normalized', ... |
|
384 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
385 |
+ 'FontWeight','demi', ... |
|
386 |
+ 'HorizontalAlignment','left', ... |
|
387 |
+ 'ListboxTop',0, ... |
|
388 |
+ 'Position',[0.01833333333333333 0.775483870967742 0.2016666666666667 0.01806451612903226], ... |
|
389 |
+ 'String','COMPONENT LIST', ... |
|
390 |
+ 'Style','text', ... |
|
391 |
+ 'Tag','StaticText7'); |
|
392 |
+ |
|
393 |
+h1 = uicontrol('Parent',h0, ... |
|
394 |
+ 'Units','normalized', ... |
|
395 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
396 |
+ 'FontWeight','demi', ... |
|
397 |
+ 'HorizontalAlignment','left', ... |
|
398 |
+ 'ListboxTop',0, ... |
|
399 |
+ 'Position',[0.4950000000000001 0.775483870967742 0.1966666666666667 0.01806451612903226], ... |
|
400 |
+ 'String','AVERAGE', ... |
|
401 |
+ 'Style','text', ... |
|
402 |
+ 'Tag','StaticText8'); |
|
403 |
+ |
|
404 |
+h1 = uicontrol('Parent',h0, ... |
|
405 |
+ 'Units','normalized', ... |
|
406 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
407 |
+ 'FontWeight','demi', ... |
|
408 |
+ 'HorizontalAlignment','left', ... |
|
409 |
+ 'ListboxTop',0, ... |
|
410 |
+ 'Position',[0.7383333333333334 0.775483870967742 0.225 0.01806451612903226], ... |
|
411 |
+ 'String','RELATIVE VALUES', ... |
|
412 |
+ 'Style','text', ... |
|
413 |
+ 'Tag','StaticText9'); |
|
414 |
+ |
|
415 |
+h1 = uicontrol('Parent',h0, ... |
|
416 |
+ 'Units','normalized', ... |
|
417 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
418 |
+ 'FontSize',10, ... |
|
419 |
+ 'FontWeight','demi', ... |
|
420 |
+ 'HorizontalAlignment','left', ... |
|
421 |
+ 'ListboxTop',0, ... |
|
422 |
+ 'Position',[0.01833333333333333 0.8154838709677419 0.2033333333333333 0.0232258064516129], ... |
|
423 |
+ 'String','COMPONENTS', ... |
|
424 |
+ 'Style','text', ... |
|
425 |
+ 'Tag','StaticText10'); |
|
426 |
+ |
|
427 |
+h1 = uicontrol('Parent',h0, ... |
|
428 |
+ 'Units','normalized', ... |
|
429 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
430 |
+ 'FontSize',10, ... |
|
431 |
+ 'FontWeight','demi', ... |
|
432 |
+ 'HorizontalAlignment','left', ... |
|
433 |
+ 'ListboxTop',0, ... |
|
434 |
+ 'Position',[0.4950000000000001 0.8154838709677419 0.2 0.0232258064516129], ... |
|
435 |
+ 'String','VECTORS', ... |
|
436 |
+ 'Style','text', ... |
|
437 |
+ 'Tag','StaticText11'); |
|
438 |
+ |
|
439 |
+h1 = uicontrol('Parent',h0, ... |
|
440 |
+ 'Units','normalized', ... |
|
441 |
+ 'BackgroundColor',[0.752941176470588 0.752941176470588 0.752941176470588], ... |
|
442 |
+ 'Callback','preprocess sD_management', ... |
|
443 |
+ 'FontSize',5, ... |
|
444 |
+ 'FontWeight','demi', ... |
|
445 |
+ 'ListboxTop',0, ... |
|
446 |
+ 'Position',[0.01833333333333333 0.8503225806451613 0.1666666666666667 0.03483870967741935], ... |
|
447 |
+ 'String','DATA SET MANAGEMENT', ... |
|
448 |
+ 'Tag','Pushbutton7'); |
|
449 |
+ |
|
450 |
+h1 = uicontrol('Parent',h0, ... |
|
451 |
+ 'Units','normalized', ... |
|
452 |
+ 'Callback','preprocess sel_sD', ... |
|
453 |
+ 'ListboxTop',0, ... |
|
454 |
+ 'Position',[0.01833333333333333 0.8890322580645161 0.1666666666666667 0.03483870967741935], ... |
|
455 |
+ 'String',' ', ... |
|
456 |
+ 'Style','popupmenu', ... |
|
457 |
+ 'Tag','PopupMenu2', ... |
|
458 |
+ 'Value',1); |
|
459 |
+ |
|
460 |
+data.sD_set_h = h1; |
|
461 |
+ |
|
462 |
+h1 = uicontrol('Parent',h0, ... |
|
463 |
+ 'Units','normalized', ... |
|
464 |
+ 'BackgroundColor',[1 1 1], ... |
|
465 |
+ 'ListboxTop',0, ... |
|
466 |
+ 'Position',[0.2516666666666667 0.8503225806451613 0.7216666666666667 0.07354838709677419], ... |
|
467 |
+ 'Style','text', ... |
|
468 |
+ 'Tag','StaticText12'); |
|
469 |
+ |
|
470 |
+data.sD_name_h = h1; |
|
471 |
+ |
|
472 |
+h1 = uicontrol('Parent',h0, ... |
|
473 |
+ 'Units','normalized', ... |
|
474 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
475 |
+ 'FontSize',10, ... |
|
476 |
+ 'FontWeight','demi', ... |
|
477 |
+ 'HorizontalAlignment','left', ... |
|
478 |
+ 'ListboxTop',0, ... |
|
479 |
+ 'Position',[0.01833333333333333 0.9341935483870968 0.1616666666666667 0.02064516129032258], ... |
|
480 |
+ 'String','DATA SETS', ... |
|
481 |
+ 'Style','text', ... |
|
482 |
+ 'Tag','StaticText13'); |
|
483 |
+ |
|
484 |
+h1 = uicontrol('Parent',h0, ... |
|
485 |
+ 'Units','normalized', ... |
|
486 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
487 |
+ 'FontSize',10, ... |
|
488 |
+ 'FontWeight','demi', ... |
|
489 |
+ 'HorizontalAlignment','left', ... |
|
490 |
+ 'ListboxTop',0, ... |
|
491 |
+ 'Position',[0.2516666666666667 0.9341935483870968 0.2833333333333333 0.02064516129032258], ... |
|
492 |
+ 'String','SELECTED DATA SET', ... |
|
493 |
+ 'Style','text', ... |
|
494 |
+ 'Tag','StaticText14'); |
|
495 |
+ |
|
496 |
+if ~isstruct(sData), |
|
497 |
+ sData=som_data_struct(sData); |
|
498 |
+end |
|
499 |
+ |
|
500 |
+ui_h=uimenu('Label','&Normalization'); |
|
501 |
+uimenu(ui_h,'Label','Scale [0,1]','Callback','preprocess zscale'); |
|
502 |
+uimenu(ui_h,'Label','Scale var=1','Callback','preprocess vscale'); |
|
503 |
+uimenu(ui_h,'Label','HistD','Callback','preprocess histeq'); |
|
504 |
+uimenu(ui_h,'Label','HistC','Callback','preprocess histeq2'); |
|
505 |
+uimenu(ui_h,'Label','Log','Callback','preprocess log'); |
|
506 |
+uimenu(ui_h,'Label','Eval (1-comp)','Callback','preprocess eval1'); |
|
507 |
+ |
|
508 |
+ui_h=uimenu('Label','&Components'); |
|
509 |
+uimenu(ui_h,'Label','Move component','Callback','preprocess move'); |
|
510 |
+uimenu(ui_h,'Label','Copy component','Callback','preprocess copy'); |
|
511 |
+uimenu(ui_h,'Label','Add: N binary types','Callback','preprocess oneo'); |
|
512 |
+uimenu(ui_h,'Label','Add: zeros','Callback','preprocess zero'); |
|
513 |
+uimenu(ui_h,'Label','Remove component','Callback','preprocess remove'); |
|
514 |
+uimenu(ui_h,'Label','Remove selected vectors',... |
|
515 |
+ 'Callback','preprocess remove_vects'); |
|
516 |
+uimenu(ui_h,'Label','Select all components',... |
|
517 |
+ 'Callback','preprocess sel_all_comps'); |
|
518 |
+ |
|
519 |
+ui_h=uimenu('Label','&Misc'); |
|
520 |
+ui_h1=uimenu(ui_h,'Label','Calculate'); |
|
521 |
+ui_h2=uimenu(ui_h,'Label','Process'); |
|
522 |
+ |
|
523 |
+uimenu(ui_h,'Label','Get LOG-file','Callback','preprocess LOG'); |
|
524 |
+uimenu(ui_h,'Label','Indices of the selected vectors',... |
|
525 |
+ 'Callback','preprocess get_inds'); |
|
526 |
+uimenu(ui_h,'Label','Undo','Callback','preprocess undo'); |
|
527 |
+uimenu(ui_h1,'Label','Number of values','Callback','preprocess noof'); |
|
528 |
+uimenu(ui_h1,'Label','Number of selected vectors',... |
|
529 |
+ 'Callback','preprocess no_of_sel'); |
|
530 |
+uimenu(ui_h1,'Label','Correlation','Callback','preprocess corr'); |
|
531 |
+uimenu(ui_h2,'Label','Unit length','Callback','preprocess unit'); |
|
532 |
+uimenu(ui_h2,'Label','Eval','Callback','preprocess eval2'); |
|
533 |
+uimenu(ui_h2,'Label','Clipping','Callback','preprocess clipping'); |
|
534 |
+uimenu(ui_h2,'Label','Delay','Callback','preprocess delay'); |
|
535 |
+uimenu(ui_h2,'Label','Windowed','Callback','preprocess window'); |
|
536 |
+uimenu(ui_h2,'Label','Select vectors','Callback','preprocess select'); |
|
537 |
+ |
|
538 |
+len=getfield(size(sData(1).data),{1}); |
|
539 |
+data.selected_vects=find(ones(1,len)); |
|
540 |
+data.sD_set=sData; |
|
541 |
+set(data.vector_h,'ButtonDownFcn','preprocess(''vector_bdf'',''down'')'); |
|
542 |
+set(gcf,'UserData',data); |
|
543 |
+if ~set_sD_stats; |
|
544 |
+ return; |
|
545 |
+end |
|
546 |
+sel_sD; |
|
547 |
+return; %%% Preprocess-window is ready. |
|
548 |
+ |
|
549 |
+else |
|
550 |
+ arg=sData; |
|
551 |
+ if strcmp(arg,'rename') |
|
552 |
+ rename(arg2); |
|
553 |
+ elseif strcmp(arg,'sel_sD') |
|
554 |
+ if isempty(arg2) |
|
555 |
+ sel_sD; |
|
556 |
+ else |
|
557 |
+ sel_sD(arg2); |
|
558 |
+ end |
|
559 |
+ elseif strcmp(arg,'zscale') |
|
560 |
+ if isempty(arg2) |
|
561 |
+ zero2one_scale; |
|
562 |
+ else |
|
563 |
+ zero2one_scale(arg2); |
|
564 |
+ end |
|
565 |
+ elseif strcmp(arg,'vscale'); |
|
566 |
+ if isempty(arg2) |
|
567 |
+ var_scale; |
|
568 |
+ else |
|
569 |
+ var_scale(arg2); |
|
570 |
+ end |
|
571 |
+ elseif strcmp(arg,'histeq2') |
|
572 |
+ if isempty(arg2) |
|
573 |
+ hist_eq2; |
|
574 |
+ else |
|
575 |
+ hist_eq2(arg2); |
|
576 |
+ end |
|
577 |
+ elseif strcmp(arg,'log') |
|
578 |
+ if isempty(arg2) |
|
579 |
+ logarithm; |
|
580 |
+ else |
|
581 |
+ logarithm(arg2); |
|
582 |
+ end |
|
583 |
+ elseif strcmp(arg,'eval1') |
|
584 |
+ if isempty(arg2) |
|
585 |
+ eval1; |
|
586 |
+ else |
|
587 |
+ eval1(arg2); |
|
588 |
+ end |
|
589 |
+ elseif strcmp(arg,'eval2') |
|
590 |
+ if isempty(arg2) |
|
591 |
+ eval2; |
|
592 |
+ else |
|
593 |
+ eval2(arg2); |
|
594 |
+ end |
|
595 |
+ elseif strcmp(arg,'histeq'); |
|
596 |
+ if isempty(arg2) |
|
597 |
+ hist_eq; |
|
598 |
+ else |
|
599 |
+ hist_eq(arg2); |
|
600 |
+ end |
|
601 |
+ elseif strcmp(arg,'selall') |
|
602 |
+ if isempty(arg2) |
|
603 |
+ select_all; |
|
604 |
+ else |
|
605 |
+ select_all(arg2); |
|
606 |
+ end |
|
607 |
+ elseif strcmp(arg,'sel_button'); |
|
608 |
+ if isempty(arg2) |
|
609 |
+ sel_button; |
|
610 |
+ else |
|
611 |
+ sel_button(arg2); |
|
612 |
+ end |
|
613 |
+ elseif strcmp(arg,'clear_button') |
|
614 |
+ if isempty(arg2) |
|
615 |
+ clear_button; |
|
616 |
+ else |
|
617 |
+ clear_button(arg2) |
|
618 |
+ end |
|
619 |
+ elseif(strcmp(arg,'move')) |
|
620 |
+ if isempty(arg2) |
|
621 |
+ move_component; |
|
622 |
+ else |
|
623 |
+ move_component(arg2); |
|
624 |
+ end |
|
625 |
+ elseif(strcmp(arg,'copy')) |
|
626 |
+ if isempty(arg2) |
|
627 |
+ copy_component; |
|
628 |
+ else |
|
629 |
+ copy_component(arg2); |
|
630 |
+ end |
|
631 |
+ elseif strcmp(arg,'oneo') |
|
632 |
+ if isempty(arg2) |
|
633 |
+ one_of_n; |
|
634 |
+ else |
|
635 |
+ one_of_n(arg2); |
|
636 |
+ end |
|
637 |
+ elseif strcmp(arg,'zero') |
|
638 |
+ if isempty(arg2) |
|
639 |
+ add_zeros; |
|
640 |
+ else |
|
641 |
+ add_zeros(arg2); |
|
642 |
+ end |
|
643 |
+ elseif strcmp(arg,'remove') |
|
644 |
+ if isempty(arg2) |
|
645 |
+ remove_component; |
|
646 |
+ else |
|
647 |
+ remove_component(arg2); |
|
648 |
+ end |
|
649 |
+ elseif strcmp(arg,'remove_vects') |
|
650 |
+ if isempty(arg2) |
|
651 |
+ remove_vects; |
|
652 |
+ else |
|
653 |
+ remove_vects(arg2); |
|
654 |
+ end |
|
655 |
+ elseif strcmp(arg,'noof') |
|
656 |
+ if isempty(arg2) |
|
657 |
+ no_of_values; |
|
658 |
+ else |
|
659 |
+ no_of_values(arg2); |
|
660 |
+ end |
|
661 |
+ elseif strcmp(arg,'corr'); |
|
662 |
+ if isempty(arg2) |
|
663 |
+ correlation; |
|
664 |
+ else |
|
665 |
+ correlation(arg2); |
|
666 |
+ end |
|
667 |
+ elseif strcmp(arg,'unit') |
|
668 |
+ if isempty(arg2) |
|
669 |
+ unit_length; |
|
670 |
+ else |
|
671 |
+ unit_length(arg2); |
|
672 |
+ end |
|
673 |
+ elseif strcmp(arg,'clip_data') |
|
674 |
+ clip_data(arg2); |
|
675 |
+ elseif strcmp(arg,'copy_delete') |
|
676 |
+ copy_delete(arg2); |
|
677 |
+ elseif strcmp(arg,'and_or_cb') |
|
678 |
+ and_or_cb(arg2); |
|
679 |
+ elseif strcmp(arg,'all_sel_cb') |
|
680 |
+ all_sel_cb(arg2); |
|
681 |
+ elseif strcmp(arg,'clip_exp_cb') |
|
682 |
+ clip_exp_cb(arg2); |
|
683 |
+ elseif strcmp(arg,'window_cb') |
|
684 |
+ window_cb(arg2); |
|
685 |
+ elseif strcmp(arg,'set_state_vals') |
|
686 |
+ set_state_vals(arg2); |
|
687 |
+ elseif strcmp(arg,'vector_bdf') |
|
688 |
+ vector_bdf(arg2); |
|
689 |
+ elseif strcmp(arg,'sD_management'); |
|
690 |
+ if isempty(arg2) |
|
691 |
+ sD_management; |
|
692 |
+ else |
|
693 |
+ sD_management(arg2); |
|
694 |
+ end |
|
695 |
+ elseif strcmp(arg,'clipping') |
|
696 |
+ if isempty(arg2) |
|
697 |
+ clipping; |
|
698 |
+ else |
|
699 |
+ clipping(arg2); |
|
700 |
+ end |
|
701 |
+ elseif strcmp(arg,'delay') |
|
702 |
+ if isempty(arg2) |
|
703 |
+ delay; |
|
704 |
+ else |
|
705 |
+ delay(arg2); |
|
706 |
+ end |
|
707 |
+ elseif strcmp(arg,'window'); |
|
708 |
+ if isempty(arg2) |
|
709 |
+ window; |
|
710 |
+ else |
|
711 |
+ window(arg2); |
|
712 |
+ end |
|
713 |
+ elseif strcmp(arg,'select'); |
|
714 |
+ if isempty(arg2) |
|
715 |
+ select; |
|
716 |
+ else |
|
717 |
+ select(arg2); |
|
718 |
+ end |
|
719 |
+ elseif strcmp(arg,'import') |
|
720 |
+ if isempty(arg2) |
|
721 |
+ import; |
|
722 |
+ else |
|
723 |
+ import(arg2); |
|
724 |
+ end |
|
725 |
+ elseif strcmp(arg,'export') |
|
726 |
+ if isempty(arg2) |
|
727 |
+ export; |
|
728 |
+ else |
|
729 |
+ export(arg2); |
|
730 |
+ end |
|
731 |
+ elseif strcmp(arg,'undo'); |
|
732 |
+ if isempty(arg2) |
|
733 |
+ undo; |
|
734 |
+ else |
|
735 |
+ undo(arg2); |
|
736 |
+ end |
|
737 |
+ elseif strcmp(arg,'delay_data') |
|
738 |
+ if isempty(arg2) |
|
739 |
+ delay_data; |
|
740 |
+ else |
|
741 |
+ delay_data(arg2); |
|
742 |
+ end |
|
743 |
+ elseif strcmp(arg,'eval_windowed') |
|
744 |
+ if isempty(arg2) |
|
745 |
+ eval_windowed; |
|
746 |
+ else |
|
747 |
+ eval_windowed(arg2); |
|
748 |
+ end |
|
749 |
+ elseif strcmp(arg,'get_inds') |
|
750 |
+ if isempty(arg2) |
|
751 |
+ get_selected_inds; |
|
752 |
+ else |
|
753 |
+ get_selected_inds(arg2); |
|
754 |
+ end |
|
755 |
+ elseif strcmp(arg,'no_of_sel') |
|
756 |
+ if isempty(arg2) |
|
757 |
+ no_of_selected; |
|
758 |
+ else |
|
759 |
+ no_of_selected(arg2); |
|
760 |
+ end |
|
761 |
+ elseif strcmp(arg,'sel_comp'); |
|
762 |
+ if isempty(arg2) |
|
763 |
+ sel_comp; |
|
764 |
+ else |
|
765 |
+ sel_comp(arg2); |
|
766 |
+ end |
|
767 |
+ elseif strcmp(arg,'sel_all_comps') |
|
768 |
+ if isempty(arg2) |
|
769 |
+ select_all_comps; |
|
770 |
+ else |
|
771 |
+ select_all_comps(arg2); |
|
772 |
+ end |
|
773 |
+ elseif strcmp(arg,'refresh') |
|
774 |
+ set_var_names; |
|
775 |
+ elseif any(strcmp(arg,{'close_c','close_d','close_s','close_w','close_sD'})) |
|
776 |
+ if isempty(arg2) |
|
777 |
+ close_func(arg) |
|
778 |
+ else |
|
779 |
+ close_func(arg,arg2); |
|
780 |
+ end |
|
781 |
+ end |
|
782 |
+ |
|
783 |
+ |
|
784 |
+ switch arg |
|
785 |
+ case 'sD_stats' |
|
786 |
+ sD_stats; |
|
787 |
+ case 'LOG' |
|
788 |
+ log_file; |
|
789 |
+ otherwise |
|
790 |
+ pro_tools(arg); |
|
791 |
+ end |
|
792 |
+end |
|
793 |
+ |
|
794 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
795 |
+ |
|
796 |
+function set_compnames(sData,h) |
|
797 |
+ |
|
798 |
+%SET_COMPNAMES |
|
799 |
+% |
|
800 |
+% set_compnames(sData,h) |
|
801 |
+% |
|
802 |
+% ARGUMENTS |
|
803 |
+% |
|
804 |
+% sData (struct) som_data_struct |
|
805 |
+% h (scalar) handle to a list box object |
|
806 |
+% |
|
807 |
+% |
|
808 |
+% This function sets the component names of sData to the list box |
|
809 |
+% indicated by 'h'. |
|
810 |
+% |
|
811 |
+ |
|
812 |
+pre_h=findobj(get(0,'Children'),'Tag','Preprocess'); |
|
813 |
+ |
|
814 |
+if isempty(pre_h) |
|
815 |
+ error('Figure ''Preprocess'' does not exist. Closing program...'); |
|
816 |
+ close_preprocess; |
|
817 |
+end |
|
818 |
+ |
|
819 |
+udata=get(pre_h,'UserData'); |
|
820 |
+ |
|
821 |
+set(h,'Value',[]); |
|
822 |
+for i=1:length(sData.comp_names) |
|
823 |
+ tmp=sprintf('#%d: ',i); |
|
824 |
+ names{i,1}=cat(2,tmp, sData.comp_names{i}); |
|
825 |
+end |
|
826 |
+ |
|
827 |
+ |
|
828 |
+set(h,'String',names,'Max',2); |
|
829 |
+set(udata.sel_comp_h,'String',names); |
|
830 |
+ |
|
831 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
832 |
+ |
|
833 |
+function draw_vectors(vectors,h) |
|
834 |
+ |
|
835 |
+%DRAW_VECTORS |
|
836 |
+% |
|
837 |
+% draw_vectors(vectors,h) |
|
838 |
+% |
|
839 |
+% ARGUMENTS |
|
840 |
+% |
|
841 |
+% vectors (vector) vector of 0's and 1's |
|
842 |
+% h (scalar) handle to an axis object |
|
843 |
+% |
|
844 |
+% |
|
845 |
+% This function draws an horizontal bar of 'vectors' in the axis |
|
846 |
+% indicated by 'h'. |
|
847 |
+% |
|
848 |
+% |
|
849 |
+ |
|
850 |
+pre_h=findobj(get(0,'Children'),'Tag','Preprocess'); |
|
851 |
+subplot(h); |
|
852 |
+hold off; |
|
853 |
+cla; |
|
854 |
+ |
|
855 |
+set(h,'YLim',[0 1]); |
|
856 |
+set(h,'YTick',[]); |
|
857 |
+set(h,'XLim',[0 length(vectors)+1]); |
|
858 |
+hold on; |
|
859 |
+ |
|
860 |
+comp_no=get(getfield(get(pre_h,'UserData'),'sel_comp_h'),'Value'); |
|
861 |
+comp=getfield(get(pre_h,'UserData'),'sData'); |
|
862 |
+comp=comp.data(:,comp_no); |
|
863 |
+Max = max(comp); |
|
864 |
+Min = min(comp); |
|
865 |
+lims=get(gca,'YLim'); |
|
866 |
+lims(1)=Min; |
|
867 |
+h=abs(0.1*Max); |
|
868 |
+lims(2)=Max; |
|
869 |
+if Max - Min <= eps |
|
870 |
+ tmp=Max; |
|
871 |
+ lims(1)=tmp-1; |
|
872 |
+ lims(2)=tmp+1; |
|
873 |
+end |
|
874 |
+lims(2)=lims(2)+h; |
|
875 |
+if ~all(isnan(lims)) |
|
876 |
+ set(gca,'YLim',lims); |
|
877 |
+end |
|
878 |
+h=(lims(2)-lims(1))/4; |
|
879 |
+set(gca,'YTickMode','auto'); |
|
880 |
+t=1:length(vectors); |
|
881 |
+h=plot(t,comp); |
|
882 |
+set(h,'ButtonDownFcn','preprocess(''vector_bdf'',''down'')'); |
|
883 |
+indices =find(vectors); |
|
884 |
+vectors(indices)=0.1*(getfield(get(gca,'YLim'),... |
|
885 |
+ {2})-getfield(get(gca,'YLim'),{1})); |
|
886 |
+plot(indices,vectors(indices)+getfield(get(gca,'YLim'),{1}),... |
|
887 |
+ 'ored','MarkerSize',4); |
|
888 |
+ |
|
889 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
890 |
+ |
|
891 |
+function vect_means(sData,handle,indices) |
|
892 |
+ |
|
893 |
+%VECT_MEANS |
|
894 |
+% |
|
895 |
+% vect_means(sData,handle,indices) |
|
896 |
+% |
|
897 |
+% ARGUMENTS |
|
898 |
+% |
|
899 |
+% sData (struct) som_data_struct |
|
900 |
+% handle (scalar) handle to the static text box object |
|
901 |
+% indices (vector) indices of selected vectors |
|
902 |
+% |
|
903 |
+% |
|
904 |
+% This function calculates means of selected vectors' components |
|
905 |
+% and writes them in the static text box indicated by 'handle'. |
|
906 |
+% |
|
907 |
+% |
|
908 |
+ |
|
909 |
+sData= sData.data(indices,:); |
|
910 |
+ |
|
911 |
+for i=1:length(sData(1,:)) |
|
912 |
+ names{i}=sprintf('#%d: ',i); |
|
913 |
+end |
|
914 |
+ |
|
915 |
+ |
|
916 |
+for i=1:length(sData(1,:)) |
|
917 |
+ tmp=sData(:,i); |
|
918 |
+ tmp=cat(2,names{i},sprintf('%-10.3g',mean(tmp(find(~isnan(tmp)))))); |
|
919 |
+ string{i}=tmp; |
|
920 |
+end |
|
921 |
+ |
|
922 |
+set(handle,'String',string); |
|
923 |
+set(handle,'HorizontalAlignment','left'); |
|
924 |
+ |
|
925 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
926 |
+ |
|
927 |
+function vector_bdf(arg) |
|
928 |
+ |
|
929 |
+%VECTOR_BDF A button down function. |
|
930 |
+% |
|
931 |
+% vector_bdf(arg) |
|
932 |
+% |
|
933 |
+% ARGUMENTS |
|
934 |
+% |
|
935 |
+% arg (string) 'down' or 'up', tells the mouse button's state. |
|
936 |
+% |
|
937 |
+% |
|
938 |
+% This function selects vectors in the vector-window and plots maxima, |
|
939 |
+% minima and means of the selected vectors. It also writes means of the |
|
940 |
+% selected vectors' components in a static text box and takes care of |
|
941 |
+% changes of the chosen component's data. |
|
942 |
+% |
|
943 |
+% See also VECTOR_MEANS, SEL_COMP |
|
944 |
+% |
|
945 |
+% |
|
946 |
+ |
|
947 |
+ |
|
948 |
+arg2=arg(6:length(arg)); |
|
949 |
+if ~isempty(arg2) |
|
950 |
+ LOG=1; |
|
951 |
+else |
|
952 |
+ LOG=0; |
|
953 |
+end |
|
954 |
+arg=arg(1:4); |
|
955 |
+ |
|
956 |
+%%% arg's first "word" is 4 letters long and it can be: |
|
957 |
+%%% |
|
958 |
+%%% 'key ' |
|
959 |
+%%% 'down' |
|
960 |
+%%% 'drag' |
|
961 |
+%%% 'up ' |
|
962 |
+ |
|
963 |
+if strcmp(arg,'key ') %string is 'key' + 1 space!!! |
|
964 |
+ if ~LOG |
|
965 |
+ key=get(gcf,'CurrentCharacter'); |
|
966 |
+ else |
|
967 |
+ key=arg2 |
|
968 |
+ end |
|
969 |
+ if ~strcmp(key,'<') & ~strcmp(key,'>') |
|
970 |
+ return; |
|
971 |
+ end |
|
972 |
+ data=get(gcf,'UserData'); |
|
973 |
+ sel=data.selected_vects; |
|
974 |
+ if length(sel) == 1 |
|
975 |
+ if strcmp(key,'<') & sel ~= 1 |
|
976 |
+ data.selected_vects=sel-1; |
|
977 |
+ set(gcf,'UserData',data); |
|
978 |
+ elseif strcmp(key,'>') & sel ~= length(data.sData.data(:,1)) |
|
979 |
+ data.selected_vects = sel + 1; |
|
980 |
+ set(gcf,'UserData',data); |
|
981 |
+ end |
|
982 |
+ else |
|
983 |
+ if strcmp(key,'<') & sel(1) ~= 1 |
|
984 |
+ data.selected_vects=cat(2,sel(1)-1,sel); |
|
985 |
+ set(gcf,'UserData',data); |
|
986 |
+ elseif strcmp(key,'>') & sel(length(sel)) ~= length(sel) |
|
987 |
+ data.selected_vects=cat(2,sel,sel(length(sel))+1); |
|
988 |
+ set(gcf,'UserData',data); |
|
989 |
+ end |
|
990 |
+ end |
|
991 |
+ cplot_mimema; |
|
992 |
+ pro_tools('plot_hist'); |
|
993 |
+ pro_tools('c_stat'); |
|
994 |
+ vects=zeros(1,length(data.sData.data(:,1))); |
|
995 |
+ vects(data.selected_vects)=1; |
|
996 |
+ draw_vectors(vects,data.vector_h); |
|
997 |
+ |
|
998 |
+ if ~LOG |
|
999 |
+ data=get(gcf,'UserData'); |
|
1000 |
+ data.LOG{length(data.LOG)+1}=... |
|
1001 |
+ sprintf('preprocess(''vector_bdf'',''key %s'');',key); |
|
1002 |
+ %string is 'key'+2spaces+%s |
|
1003 |
+ set(gcf,'UserData',data); |
|
1004 |
+ end |
|
1005 |
+ return; |
|
1006 |
+end |
|
1007 |
+ |
|
1008 |
+switch arg |
|
1009 |
+ case 'down' |
|
1010 |
+ set(gcf,'WindowButtonUpFcn','preprocess(''vector_bdf'',''up '')'); |
|
1011 |
+ set(gcf,'WindowButtonMotionFcn','preprocess(''vector_bdf'',''drag'')'); |
|
1012 |
+ switch get(gcf,'SelectionType') |
|
1013 |
+ case 'normal' |
|
1014 |
+ data.lims1=round(getfield(get(gca,'CurrentPoint'),{1,1})); |
|
1015 |
+ data.lims2=[]; |
|
1016 |
+ case 'alt' |
|
1017 |
+ tmp=round(getfield(get(gca,'CurrentPoint'),{1,1})); |
|
1018 |
+ if isempty(get(gca,'UserData')) |
|
1019 |
+ data.lims1=tmp; |
|
1020 |
+ data.lims2=[]; |
|
1021 |
+ else |
|
1022 |
+ data.lims1=cat(2,getfield(get(gca,'UserData'),'lims1'),tmp); |
|
1023 |
+ data.lims2=getfield(get(gca,'UserData'),'lims2'); |
|
1024 |
+ end |
|
1025 |
+ end |
|
1026 |
+ coords=get(gca,'CurrentPoint'); |
|
1027 |
+ h=line([coords(1),coords(1)],get(gca,'YLim'),'EraseMode','xor'); |
|
1028 |
+ set(h,'Color','red'); |
|
1029 |
+ h2=line([coords(1),coords(1)],get(gca,'YLim'),'EraseMode','xor'); |
|
1030 |
+ set(h2,'Color','red'); |
|
1031 |
+ data.h=h; |
|
1032 |
+ data.h2=h2; |
|
1033 |
+ set(gca,'UserData',data); |
|
1034 |
+ |
|
1035 |
+ case 'drag' |
|
1036 |
+ coords=get(gca,'CurrentPoint'); |
|
1037 |
+ lim=get(gca,'XLim'); |
|
1038 |
+ h2=getfield(get(gca,'UserData'),'h2'); |
|
1039 |
+ if lim(1) >= coords(1) |
|
1040 |
+ set(h2,'XData',[lim(1) lim(1)]); |
|
1041 |
+ elseif lim(2) <= coords(2) |
|
1042 |
+ set(h2,'XData',[lim(2) lim(2)]); |
|
1043 |
+ else |
|
1044 |
+ set(h2,'XData',[coords(1) coords(1)]); |
|
1045 |
+ end |
|
1046 |
+ case 'up ' % string is 'up' + 2 spaces!!! |
|
1047 |
+ set(gcf,'WindowButtonUpFcn',''); |
|
1048 |
+ set(gcf,'WindowButtonMotionFcn',''); |
|
1049 |
+ if ~LOG |
|
1050 |
+ data=get(gca,'UserData'); |
|
1051 |
+ delete(data.h); |
|
1052 |
+ delete(data.h2); |
|
1053 |
+ tmp=round(getfield(get(gca,'CurrentPoint'),{1,1})); |
|
1054 |
+ data.lims2=cat(2,data.lims2,tmp); |
|
1055 |
+ tmp_data=sort(cat(1,data.lims1,data.lims2)); |
|
1056 |
+ high=getfield(get(gca,'XLim'),{2})-1; |
|
1057 |
+ vectors=zeros(1,high); |
|
1058 |
+ tmp_data(find(tmp_data<1))=1; |
|
1059 |
+ tmp_data(find(tmp_data>high))=high; |
|
1060 |
+ |
|
1061 |
+ for i=1:getfield(size(tmp_data),{2}) |
|
1062 |
+ vectors(tmp_data(1,i):tmp_data(2,i))=1; |
|
1063 |
+ end |
|
1064 |
+ selected_vects=find(vectors); |
|
1065 |
+ else |
|
1066 |
+ pre_h=findobj(get(0,'Children'),'Tag','Preprocess'); |
|
1067 |
+ len=size(getfield(getfield(get(pre_h,'UserData'),'sData'),'data')); |
|
1068 |
+ vectors=zeros(1,len(1)); |
|
1069 |
+ i=1; |
|
1070 |
+ while i <= length(arg2) & (isspace(arg2(i)) | ~isletter(arg2(i))) |
|
1071 |
+ i=i+1; |
|
1072 |
+ end |
|
1073 |
+ arg3=arg2(i:length(arg2)); |
|
1074 |
+ selected_vects=str2num(arg2(1:i-1)); |
|
1075 |
+ if ~isempty(arg3) & ~all(isspace(arg3)) |
|
1076 |
+ selected_vects=unique(cat(2,selected_vects,... |
|
1077 |
+ getfield(get(pre_h,'UserData'),'selected_vects'))); |
|
1078 |
+ end |
|
1079 |
+ vectors(selected_vects)=1; |
|
1080 |
+ set(pre_h,'CurrentAxes',getfield(get(pre_h,'UserData'),'vector_h')); |
|
1081 |
+ set(0,'CurrentFigure',pre_h); |
|
1082 |
+ end |
|
1083 |
+ draw_vectors(vectors,gca); |
|
1084 |
+ sData=getfield(get(gcf,'UserData'),'sData'); |
|
1085 |
+ h=getfield(get(gcf,'UserData'),'vect_mean_h'); |
|
1086 |
+ vect_means(sData,h,selected_vects); |
|
1087 |
+ if ~LOG |
|
1088 |
+ set(gca,'UserData',data); |
|
1089 |
+ end |
|
1090 |
+ data=get(gcf,'UserData'); |
|
1091 |
+ data.undo.sData=data.sData; |
|
1092 |
+ data.undo.selected=data.selected_vects; |
|
1093 |
+ data.selected_vects=selected_vects; |
|
1094 |
+ if ~LOG |
|
1095 |
+ data.LOG{length(data.LOG)+1}='% Vector selection by using the mouse...'; |
|
1096 |
+ tmp=sprintf('preprocess(''vector_bdf'',''up %s'');',... |
|
1097 |
+ num2str(data.selected_vects)); |
|
1098 |
+ if length(tmp) > 500 |
|
1099 |
+ tmp=textwrap({tmp},500); |
|
1100 |
+ data.LOG{length(data.LOG)+1}=cat(2,tmp{1},''');'); |
|
1101 |
+ for i=2:length(tmp)-1 |
|
1102 |
+ data.LOG{length(data.LOG)+1}=... |
|
1103 |
+ cat(2,sprintf('preprocess(''vector_bdf'',''up %s',... |
|
1104 |
+ tmp{i}),'add'');'); |
|
1105 |
+ end |
|
1106 |
+ data.LOG{length(data.LOG)+1}=... |
|
1107 |
+ cat(2,sprintf('preprocess(''vector_bdf'',''up %s',... |
|
1108 |
+ tmp{length(tmp)}(1:length(tmp{length(tmp)})-3)),' add'');'); |
|
1109 |
+ else |
|
1110 |
+ data.LOG{length(data.LOG)+1}=tmp; |
|
1111 |
+ end |
|
1112 |
+ end |
|
1113 |
+ set(gcf,'UserData',data); |
|
1114 |
+ cplot_mimema; |
|
1115 |
+ sel_comp; |
|
1116 |
+end |
|
1117 |
+ |
|
1118 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
1119 |
+ |
|
1120 |
+function sel_button(varargin) |
|
1121 |
+ |
|
1122 |
+%SEL_BUTTON A Callback function. It performs the operations needed |
|
1123 |
+% when vector components are selected. |
|
1124 |
+% |
|
1125 |
+% See also SEL_COMP |
|
1126 |
+% |
|
1127 |
+ |
|
1128 |
+if nargin == 1 |
|
1129 |
+ LOG=1; |
|
1130 |
+ pre_h=findobj(get(0,'Children'),'Tag','Preprocess'); |
|
1131 |
+ string=getfield(get(pre_h,'UserData'),'comp_names_h'); |
|
1132 |
+ string=getfield(get(string,'String'),{str2num(varargin{1})}); |
|
1133 |
+ set(0,'CurrentFigure',pre_h); |
|
1134 |
+else |
|
1135 |
+ LOG=0; |
|
1136 |
+ val=get(getfield(get(gcf,'UserData'),'comp_names_h'),'Value'); |
|
1137 |
+end |
|
1138 |
+ |
|
1139 |
+sel_button_h=getfield(get(gcf,'UserData'),'sel_button_h'); |
|
1140 |
+sel_comps_h=getfield(get(gcf,'UserData'),'sel_comps_h'); |
|
1141 |
+comp_names_h=getfield(get(gcf,'UserData'),'comp_names_h'); |
|
1142 |
+if ~LOG |
|
1143 |
+ string=getfield(get(comp_names_h,'String'),{get(comp_names_h,'Value')}); |
|
1144 |
+end |
|
1145 |
+tmp_string=get(sel_comps_h,'String'); |
|
1146 |
+ |
|
1147 |
+if iscell(tmp_string) |
|
1148 |
+ |
|
1149 |
+ for i=1:length(string) |
|
1150 |
+ if ~any(strcmp(string{i},tmp_string)) |
|
1151 |
+ tmp_string=cat(1,tmp_string,string(i)); |
|
1152 |
+ end |
|
1153 |
+ end |
|
1154 |
+ string=tmp_string; |
|
1155 |
+end |
|
1156 |
+ |
|
1157 |
+set(sel_comps_h,'String',string); |
|
1158 |
+set(comp_names_h,'Value',[]); |
|
1159 |
+sel_comp; |
|
1160 |
+if ~LOG |
|
1161 |
+ data=get(gcf,'UserData'); |
|
1162 |
+ data.LOG{length(data.LOG)+1}='% Select components'; |
|
1163 |
+ data.LOG{length(data.LOG)+1}=sprintf('preprocess(''sel_button'',''%s'');',... |
|
1164 |
+ num2str(val)); |
|
1165 |
+ set(gcf,'UserData',data); |
|
1166 |
+end |
|
1167 |
+ |
|
1168 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
1169 |
+ |
|
1170 |
+function clear_button(varargin) |
|
1171 |
+ |
|
1172 |
+%CLEAR_BUTTON Function callback evaluated when a 'Clear'-button is |
|
1173 |
+% pressed. It removes texts from the 'selected components' |
|
1174 |
+% -window and the 'selected component data' -window and |
|
1175 |
+% clears the 'histogram' -axis. |
|
1176 |
+% |
|
1177 |
+% |
|
1178 |
+ |
|
1179 |
+if nargin==1 |
|
1180 |
+ LOG=1; |
|
1181 |
+ pre_h=findobj(get(0,'Children'),'Tag','Preprocess'); |
|
1182 |
+ set(0,'CurrentFigure',pre_h); |
|
1183 |
+else |
|
1184 |
+ LOG=0; |
|
1185 |
+end |
|
1186 |
+ |
|
1187 |
+sel_comp_h=getfield(get(gcf,'UserData'),'sel_comp_h'); |
|
1188 |
+sel_cdata_h=getfield(get(gcf,'UserData'),'sel_cdata_h'); |
|
1189 |
+sel_cplot_h=getfield(get(gcf,'UserData'),'sel_cplot_h'); |
|
1190 |
+sel_chist_h=getfield(get(gcf,'UserData'),'sel_chist_h'); |
|
1191 |
+vector_h=getfield(get(gcf,'UserData'),'vector_h'); |
|
1192 |
+ |
|
1193 |
+set(sel_comp_h,'Value',1); |
|
1194 |
+set(sel_cdata_h,'String',' '); |
|
1195 |
+subplot(sel_chist_h); |
|
1196 |
+hold off; |
|
1197 |
+cla; |
|
1198 |
+ |
|
1199 |
+selected=getfield(get(gcf,'UserData'),'selected_vects'); |
|
1200 |
+dims=size(getfield(getfield(get(gcf,'UserData'),'sData'),'data')); |
|
1201 |
+vectors=zeros(1,dims(1)); |
|
1202 |
+vectors(selected)=1; |
|
1203 |
+subplot(vector_h); |
|
1204 |
+draw_vectors(vectors,vector_h); |
|
1205 |
+if ~LOG |
|
1206 |
+ data=get(gcf,'UserData'); |
|
1207 |
+ data.LOG{length(data.LOG)+1}='% Remove components from the selected list.'; |
|
1208 |
+ data.LOG{length(data.LOG)+1}='preprocess(''clear_button'',''foo'');'; |
|
1209 |
+ set(gcf,'UserData',data); |
|
1210 |
+end |
|
1211 |
+ |
|
1212 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
1213 |
+ |
|
1214 |
+function sel_comp(varargin) |
|
1215 |
+ |
|
1216 |
+%SEL_COMP performs the operations needed when vector components are |
|
1217 |
+% chosen. It writes maxima, minima, mean and standard deviation |
|
1218 |
+% of the chosen component to a text box window and draws a |
|
1219 |
+% histogram of the chosen component of selected vectors' |
|
1220 |
+% |
|
1221 |
+% |
|
1222 |
+ |
|
1223 |
+pre_h=findobj(get(0,'Children'),'Tag','Preprocess'); |
|
1224 |
+set(0,'CurrentFigure',pre_h); |
|
1225 |
+sel_comp_h=getfield(get(pre_h,'UserData'),'sel_comp_h'); |
|
1226 |
+ |
|
1227 |
+if nargin == 1 |
|
1228 |
+ set(sel_comp_h,'Value',str2num(varargin{1})); |
|
1229 |
+elseif ~isempty(gcbo) |
|
1230 |
+ no=get(sel_comp_h,'Value'); |
|
1231 |
+ data=get(gcf,'UserData'); |
|
1232 |
+ data.LOG{length(data.LOG)+1}='% Select one component'; |
|
1233 |
+ data.LOG{length(data.LOG)+1}=cat(2,'preprocess(''sel_comp'',''',... |
|
1234 |
+ num2str(no),''');'); |
|
1235 |
+ set(gcf,'UserData',data); |
|
1236 |
+end |
|
1237 |
+ |
|
1238 |
+pro_tools('c_stat'); |
|
1239 |
+pro_tools('plot_hist'); |
|
1240 |
+data=get(gcf,'UserData'); |
|
1241 |
+sData=data.sData; |
|
1242 |
+vector_h=data.vector_h; |
|
1243 |
+len=length(sData.data(:,1)); |
|
1244 |
+vects=zeros(1,len); |
|
1245 |
+vects(data.selected_vects)=1; |
|
1246 |
+draw_vectors(vects,vector_h); |
|
1247 |
+ |
|
1248 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
1249 |
+ |
|
1250 |
+function cplot_mimema |
|
1251 |
+ |
|
1252 |
+global no_of_sc |
|
1253 |
+ |
|
1254 |
+sData=getfield(get(gcf,'UserData'),'sData'); |
|
1255 |
+sel_cplot_h=getfield(get(gcf,'UserData'),'sel_cplot_h'); |
|
1256 |
+selected=getfield(get(gcf,'UserData'),'selected_vects'); |
|
1257 |
+ |
|
1258 |
+set(sel_cplot_h,'YLim',[0 length(sData.data(1,:))+1]); |
|
1259 |
+ |
|
1260 |
+subplot(sel_cplot_h); |
|
1261 |
+hold off; |
|
1262 |
+cla; |
|
1263 |
+hold on; |
|
1264 |
+ |
|
1265 |
+for i=1:length(sData.data(1,:)) |
|
1266 |
+ Max=max(sData.data(:,i)); |
|
1267 |
+ Min=min(sData.data(:,i)); |
|
1268 |
+ tmp=sData.data(selected,i); |
|
1269 |
+ |
|
1270 |
+ selMax=max(tmp); |
|
1271 |
+ selMin=min(tmp); |
|
1272 |
+ Mean=abs(mean(tmp(find(~isnan(tmp))))); |
|
1273 |
+ Median=abs(median(tmp(find(~isnan(tmp))))); |
|
1274 |
+ |
|
1275 |
+ if Max ~= Min & ~all(isnan(sData.data(:,i))) |
|
1276 |
+ |
|
1277 |
+ if rem(i,no_of_sc) % no_of_sc is defined in the beginning of this file... |
|
1278 |
+ |
|
1279 |
+ line([abs(selMin-Min)/(Max-Min) (selMax-Min)/(Max-Min)],... |
|
1280 |
+ [i i],'Color','black'); |
|
1281 |
+ plot(abs(Mean-Min)/(Max-Min),i,'oblack'); |
|
1282 |
+ plot(abs(Median-Min)/(Max-Min),i,'xblack'); |
|
1283 |
+ else |
|
1284 |
+ line([abs(selMin-Min)/(Max-Min) (selMax-Min)/(Max-Min)],... |
|
1285 |
+ [i i],'Color','black','LineWidth',2); |
|
1286 |
+ plot(abs(Mean-Min)/(Max-Min),i,'oblack','LineWidth',2); |
|
1287 |
+ plot(abs(Median-Min)/(Max-Min),i,'xblack','LineWidth',2); |
|
1288 |
+ end |
|
1289 |
+ else |
|
1290 |
+ |
|
1291 |
+ if rem(i,no_of_sc) % N is defined in the beginning of this file. |
|
1292 |
+ |
|
1293 |
+ plot(mean(get(gca,'XLim')),i,'oblack'); |
|
1294 |
+ plot(mean(get(gca,'XLim')),i,'xblack'); |
|
1295 |
+ else |
|
1296 |
+ plot(mean(get(gca,'XLim')),i,'oblack','LineWidth',2); |
|
1297 |
+ plot(mean(get(gca,'XLim')),i,'xblack','LineWidth',2); |
|
1298 |
+ end |
|
1299 |
+ end |
|
1300 |
+end |
|
1301 |
+ |
|
1302 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
1303 |
+ |
|
1304 |
+ |
|
1305 |
+function bool=set_sD_stats |
|
1306 |
+ |
|
1307 |
+%SET_SD_STATS Writes the data set names to popup menu. |
|
1308 |
+% |
|
1309 |
+% |
|
1310 |
+ |
|
1311 |
+bool=1; |
|
1312 |
+data=get(gcf,'UserData'); |
|
1313 |
+ |
|
1314 |
+for i=1:length(data.sD_set) |
|
1315 |
+ % if ~isvalid_var_name({data.sD_set(i).name}) |
|
1316 |
+ % close_preprocess; |
|
1317 |
+ % bool=0; |
|
1318 |
+ % return; |
|
1319 |
+ % end |
|
1320 |
+ string{i}=cat(2,sprintf('#%d: ',i),data.sD_set(i).name); |
|
1321 |
+end |
|
1322 |
+ |
|
1323 |
+set(data.sD_set_h,'String',string); |
|
1324 |
+data.sData=data.sD_set(get(data.sD_set_h,'Value')); |
|
1325 |
+data.sData.MODIFIED=0; |
|
1326 |
+data.sData.INDEX=1; |
|
1327 |
+set(gcf,'UserData',data); |
|
1328 |
+write_sD_stats; |
|
1329 |
+ |
|
1330 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
1331 |
+ |
|
1332 |
+function write_sD_stats |
|
1333 |
+ |
|
1334 |
+%WRITE_SD_STATS writes data's name, length and dimension to text box. |
|
1335 |
+% |
|
1336 |
+% |
|
1337 |
+ |
|
1338 |
+pre_h=findobj(get(0,'Children'),'Tag','Preprocess'); |
|
1339 |
+ |
|
1340 |
+ |
|
1341 |
+sD_name_h=getfield(get(pre_h,'UserData'),'sD_name_h'); |
|
1342 |
+sData=getfield(get(pre_h,'UserData'),'sData'); |
|
1343 |
+dims=size(sData.data); |
|
1344 |
+string{1}=cat(2,'Name: ',sData.name); |
|
1345 |
+string{2}=cat(2,'Length: ',sprintf('%d',dims(1))); |
|
1346 |
+string{3}=cat(2,'Dim: ',sprintf('%d',dims(2))); |
|
1347 |
+ |
|
1348 |
+set(sD_name_h,'String',string); |
|
1349 |
+set(sD_name_h,'HorizontalAlignment','left'); |
|
1350 |
+ |
|
1351 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
1352 |
+ |
|
1353 |
+ |
|
1354 |
+ |
|
1355 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
1356 |
+ |
|
1357 |
+function sel_sD(varargin) |
|
1358 |
+ |
|
1359 |
+%SEL_SD sets new data to UserData's 'sData'. |
|
1360 |
+% |
|
1361 |
+% |
|
1362 |
+ |
|
1363 |
+if nargin==1 |
|
1364 |
+ LOG=1; |
|
1365 |
+ index=str2num(varargin{1}); |
|
1366 |
+ pre_h=findobj(get(0,'Children'),'Tag','Preprocess'); |
|
1367 |
+ set(0,'CurrentFigure',pre_h); |
|
1368 |
+else |
|
1369 |
+ LOG=0; |
|
1370 |
+end |
|
1371 |
+ |
|
1372 |
+sD_set_h=getfield(get(gcf,'UserData'),'sD_set_h'); |
|
1373 |
+comp_names_h=getfield(get(gcf,'UserData'),'comp_names_h'); |
|
1374 |
+vector_h=getfield(get(gcf,'UserData'),'vector_h'); |
|
1375 |
+vect_mean_h=getfield(get(gcf,'UserData'),'vect_mean_h'); |
|
1376 |
+ |
|
1377 |
+if ~LOG |
|
1378 |
+ index=get(sD_set_h,'Value'); |
|
1379 |
+end |
|
1380 |
+data=get(gcf,'UserData'); |
|
1381 |
+data.undo = []; |
|
1382 |
+INDEX=data.sData.INDEX; |
|
1383 |
+data.sData=rmfield(data.sData,'MODIFIED'); |
|
1384 |
+data.sData=rmfield(data.sData,'INDEX'); |
|
1385 |
+ |
|
1386 |
+tmp=data.sD_set(index); |
|
1387 |
+tmp.MODIFIED=0; |
|
1388 |
+tmp.INDEX=index; |
|
1389 |
+data.sD_set(INDEX)=data.sData; |
|
1390 |
+data.sData=tmp; |
|
1391 |
+ |
|
1392 |
+len=getfield(size(tmp.data),{1}); |
|
1393 |
+ |
|
1394 |
+data.selected_vects=find(ones(1,len)); |
|
1395 |
+if ~LOG |
|
1396 |
+ data.LOG{length(data.LOG)+1}='% Select a new data set.'; |
|
1397 |
+ data.LOG{length(data.LOG)+1}=sprintf('preprocess(''sel_sD'',''%s'');',... |
|
1398 |
+ num2str(index)); |
|
1399 |
+end |
|
1400 |
+set(gcf,'UserData',data); |
|
1401 |
+write_sD_stats; |
|
1402 |
+set_compnames(tmp,comp_names_h); |
|
1403 |
+draw_vectors(ones(1,len),vector_h); |
|
1404 |
+vect_means(tmp,vect_mean_h,data.selected_vects); |
|
1405 |
+clear_button; |
|
1406 |
+sel_comp; |
|
1407 |
+cplot_mimema; |
|
1408 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
1409 |
+ |
|
1410 |
+function indices=get_indices |
|
1411 |
+ |
|
1412 |
+pre_h=findobj(get(0,'Children'),'Tag','Preprocess'); |
|
1413 |
+ |
|
1414 |
+comp_names_h=getfield(get(pre_h,'UserData'),'comp_names_h'); |
|
1415 |
+indices = get(comp_names_h,'Value'); |
|
1416 |
+ |
|
1417 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
1418 |
+ |
|
1419 |
+ |
|
1420 |
+ |
|
1421 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
1422 |
+ |
|
1423 |
+function sD_management(varargin) |
|
1424 |
+ |
|
1425 |
+if nargin ~= 1 |
|
1426 |
+ pre_h=findobj(get(0,'Children'),'Tag','Preprocess'); |
|
1427 |
+ preh_udata=get(pre_h,'UserData'); |
|
1428 |
+ preh_udata.LOG{length(preh_udata.LOG)+1}=... |
|
1429 |
+ '% Starting the ''Data Set Management'' -window...'; |
|
1430 |
+ preh_udata.LOG{length(preh_udata.LOG)+1}=... |
|
1431 |
+ 'preprocess(''sD_management'',''foo'');'; |
|
1432 |
+ set(pre_h,'UserData',preh_udata); |
|
1433 |
+end |
|
1434 |
+ |
|
1435 |
+man_h=findobj(get(0,'Children'),'Tag','Management'); |
|
1436 |
+if ~isempty(man_h) |
|
1437 |
+ figure(man_h); |
|
1438 |
+ return; |
|
1439 |
+end |
|
1440 |
+ |
|
1441 |
+h0 = figure('BackingStore','off', ... |
|
1442 |
+ 'Color',[0.8 0.8 0.8], ... |
|
1443 |
+ 'Name','Data Set Management', ... |
|
1444 |
+ 'PaperPosition',[18 180 576 432], ... |
|
1445 |
+ 'PaperUnits','points', ... |
|
1446 |
+ 'Position',[753 523 324 470], ... |
|
1447 |
+ 'RendererMode','manual', ... |
|
1448 |
+ 'Tag','Management'); |
|
1449 |
+h1 = uicontrol('Parent',h0, ... |
|
1450 |
+ 'Units','normalized', ... |
|
1451 |
+ 'BackgroundColor',[1 1 1], ... |
|
1452 |
+ 'FontWeight','demi', ... |
|
1453 |
+ 'HorizontalAlignment','left', ... |
|
1454 |
+ 'ListboxTop',0, ... |
|
1455 |
+ 'Max',2, ... |
|
1456 |
+ 'Position',[0.02777777777777778 0.0723404255319149 0.7716049382716049 0.1914893617021277], ... |
|
1457 |
+ 'String',' ', ... |
|
1458 |
+ 'Style','edit', ... |
|
1459 |
+ 'Tag','EditText1'); |
|
1460 |
+ |
|
1461 |
+data.new_c_name_h = h1; |
|
1462 |
+ |
|
1463 |
+h1 = uicontrol('Parent',h0, ... |
|
1464 |
+ 'Callback','preprocess rename comp',... |
|
1465 |
+ 'Units','normalized', ... |
|
1466 |
+ 'FontSize',6, ... |
|
1467 |
+ 'FontWeight','demi', ... |
|
1468 |
+ 'ListboxTop',0, ... |
|
1469 |
+ 'Position',[0.8240740740740741 0.2106382978723404 0.154320987654321 0.05319148936170213], ... |
|
1470 |
+ 'String','RENAME', ... |
|
1471 |
+ 'Tag','Pushbutton1'); |
|
1472 |
+ |
|
1473 |
+h1 = uicontrol('Parent',h0, ... |
|
1474 |
+ 'Callback','preprocess close_sD',... |
|
1475 |
+ 'Units','normalized', ... |
|
1476 |
+ 'FontWeight','demi', ... |
|
1477 |
+ 'ListboxTop',0, ... |
|
1478 |
+ 'Position',[0.8240740740740741 0.01914893617021277 0.154320987654321 0.05319148936170213], ... |
|
1479 |
+ 'String','CLOSE', ... |
|
1480 |
+ 'Tag','Pushbutton2'); |
|
1481 |
+h1 = uicontrol('Parent',h0, ... |
|
1482 |
+ 'Units','normalized', ... |
|
1483 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
1484 |
+ 'FontWeight','demi', ... |
|
1485 |
+ 'HorizontalAlignment','left', ... |
|
1486 |
+ 'ListboxTop',0, ... |
|
1487 |
+ 'Position',[0.02777777777777778 0.2680851063829787 0.345679012345679 0.02978723404255319], ... |
|
1488 |
+ 'String','COMPONENTS:', ... |
|
1489 |
+ 'Style','text', ... |
|
1490 |
+ 'Tag','StaticText1'); |
|
1491 |
+h1 = uicontrol('Parent',h0, ... |
|
1492 |
+ 'Units','normalized', ... |
|
1493 |
+ 'BackgroundColor',[1 1 1], ... |
|
1494 |
+ 'HorizontalAlignment','left', ... |
|
1495 |
+ 'Position',[0.02777777777777778 0.3170212765957447 0.3549382716049382 0.5319148936170213], ... |
|
1496 |
+ 'String',' ', ... |
|
1497 |
+ 'Style','listbox', ... |
|
1498 |
+ 'Tag','Listbox1', ... |
|
1499 |
+ 'Value',1); |
|
1500 |
+ |
|
1501 |
+data.sets_h=h1; |
|
1502 |
+ |
|
1503 |
+h1 = uicontrol('Parent',h0, ... |
|
1504 |
+ 'Units','normalized', ... |
|
1505 |
+ 'BackgroundColor',[1 1 1], ... |
|
1506 |
+ 'HorizontalAlignment','left', ... |
|
1507 |
+ 'Position',[0.6234567901234568 0.3170212765957447 0.3549382716049382 0.5319148936170213], ... |
|
1508 |
+ 'String',' ', ... |
|
1509 |
+ 'Style','listbox', ... |
|
1510 |
+ 'Tag','Listbox2', ... |
|
1511 |
+ 'Value',1); |
|
1512 |
+ |
|
1513 |
+ |
|
1514 |
+data.variables_h = h1; |
|
1515 |
+ |
|
1516 |
+h1 = uicontrol('Parent',h0, ... |
|
1517 |
+ 'Callback','preprocess export',... |
|
1518 |
+ 'Units','normalized', ... |
|
1519 |
+ 'FontWeight','demi', ... |
|
1520 |
+ 'ListboxTop',0, ... |
|
1521 |
+ 'Position',[0.4259259259259259 0.551063829787234 0.154320987654321 0.0425531914893617], ... |
|
1522 |
+ 'String','->', ... |
|
1523 |
+ 'Tag','Pushbutton4'); |
|
1524 |
+ |
|
1525 |
+h1 = uicontrol('Parent',h0, ... |
|
1526 |
+ 'Callback','preprocess import',... |
|
1527 |
+ 'Units','normalized', ... |
|
1528 |
+ 'FontWeight','demi', ... |
|
1529 |
+ 'ListboxTop',0, ... |
|
1530 |
+ 'Position',[0.4259259259259259 0.625531914893617 0.154320987654321 0.0425531914893617], ... |
|
1531 |
+ 'String','<-', ... |
|
1532 |
+ 'Tag','Pushbutton3'); |
|
1533 |
+ |
|
1534 |
+ |
|
1535 |
+ |
|
1536 |
+h1 = uicontrol('Parent',h0, ... |
|
1537 |
+ 'Units','normalized', ... |
|
1538 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
1539 |
+ 'FontWeight','demi', ... |
|
1540 |
+ 'HorizontalAlignment','left', ... |
|
1541 |
+ 'ListboxTop',0, ... |
|
1542 |
+ 'Position',[0.02777777777777778 0.8531914893617022 0.2993827160493827 0.02978723404255319], ... |
|
1543 |
+ 'String','DATA SETS', ... |
|
1544 |
+ 'Style','text', ... |
|
1545 |
+ 'Tag','StaticText2'); |
|
1546 |
+ |
|
1547 |
+h1 = uicontrol('Parent',h0, ... |
|
1548 |
+ 'Units','normalized', ... |
|
1549 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
1550 |
+ 'FontWeight','demi', ... |
|
1551 |
+ 'HorizontalAlignment','left', ... |
|
1552 |
+ 'ListboxTop',0, ... |
|
1553 |
+ 'Position',[0.6234567901234568 0.8531914893617022 0.2561728395061728 0.02978723404255319], ... |
|
1554 |
+ 'String','WORKSPACE', ... |
|
1555 |
+ 'Style','text', ... |
|
1556 |
+ 'Tag','StaticText3'); |
|
1557 |
+ |
|
1558 |
+h1 = uicontrol('Parent',h0, ... |
|
1559 |
+ 'Callback','preprocess rename set',... |
|
1560 |
+ 'Units','normalized', ... |
|
1561 |
+ 'BackgroundColor',[1 1 1], ... |
|
1562 |
+ 'HorizontalAlignment','left', ... |
|
1563 |
+ 'ListboxTop',0, ... |
|
1564 |
+ 'Position',[0.1820987654320987 0.9127659574468086 0.7808641975308641 0.0425531914893617], ... |
|
1565 |
+ 'Style','edit', ... |
|
1566 |
+ 'Tag','EditText2'); |
|
1567 |
+ |
|
1568 |
+data.new_name_h = h1; |
|
1569 |
+ |
|
1570 |
+ |
|
1571 |
+h1 = uicontrol('Parent',h0, ... |
|
1572 |
+ 'Units','normalized', ... |
|
1573 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
1574 |
+ 'FontWeight','demi', ... |
|
1575 |
+ 'HorizontalAlignment','left', ... |
|
1576 |
+ 'ListboxTop',0, ... |
|
1577 |
+ 'Position',[0.02777777777777778 0.9127659574468086 0.1388888888888889 0.02978723404255319], ... |
|
1578 |
+ 'String','NAME:', ... |
|
1579 |
+ 'Style','text', ... |
|
1580 |
+ 'Tag','StaticText4'); |
|
1581 |
+ |
|
1582 |
+ |
|
1583 |
+ui_h=uimenu('Label','&Tools'); |
|
1584 |
+uimenu(ui_h,'Label','Copy','Callback','preprocess copy_delete copy'); |
|
1585 |
+uimenu(ui_h,'Label','Delete','Callback','preprocess copy_delete delete'); |
|
1586 |
+uimenu(ui_h,'Label','Refresh','Callback','preprocess refresh'); |
|
1587 |
+ |
|
1588 |
+set(gcf,'UserData',data); |
|
1589 |
+set_var_names; |
|
1590 |
+sD_names; |
|
1591 |
+sD_stats; |
|
1592 |
+ |
|
1593 |
+ |
|
1594 |
+ |
|
1595 |
+%%% Subfunction: set_var_names %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
1596 |
+ |
|
1597 |
+function set_var_names |
|
1598 |
+ |
|
1599 |
+ |
|
1600 |
+variables_h=getfield(get(gcf,'UserData'),'variables_h'); |
|
1601 |
+value=get(variables_h,'Value'); |
|
1602 |
+len=evalin('base','length(who)'); |
|
1603 |
+ |
|
1604 |
+names=cell(len,1); |
|
1605 |
+ |
|
1606 |
+for i=1:len |
|
1607 |
+ string=cat(2,'getfield(who,{',num2str(i),'})'); |
|
1608 |
+ names(i)=evalin('base',string); |
|
1609 |
+end |
|
1610 |
+ |
|
1611 |
+set(variables_h,'String',names); |
|
1612 |
+if(value > length(names)) |
|
1613 |
+ set(variables_h,'Value',1); |
|
1614 |
+end |
|
1615 |
+ |
|
1616 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
1617 |
+ |
|
1618 |
+%%% Subfunction: sD_names %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
1619 |
+ |
|
1620 |
+function sD_names |
|
1621 |
+ |
|
1622 |
+sets_h=getfield(get(gcf,'UserData'),'sets_h'); |
|
1623 |
+pre_h=findobj(get(0,'Children'),'Tag','Preprocess'); |
|
1624 |
+ |
|
1625 |
+sD_set = getfield(get(pre_h,'UserData'),'sD_set'); |
|
1626 |
+ |
|
1627 |
+for i=1:length(sD_set) |
|
1628 |
+ names{i,1}=cat(2,sprintf('#%d: ',i),sD_set(i).name); |
|
1629 |
+end |
|
1630 |
+ |
|
1631 |
+set(sets_h,'String',names); |
|
1632 |
+ |
|
1633 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
1634 |
+ |
|
1635 |
+%%% Subfunction: sD_stats %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
1636 |
+ |
|
1637 |
+function sD_stats |
|
1638 |
+ |
|
1639 |
+man_h=findobj(get(0,'Children'),'Tag','Management'); |
|
1640 |
+c_names_h=getfield(get(man_h,'UserData'),'new_c_name_h'); |
|
1641 |
+sD_name_h=getfield(get(man_h,'UserData'),'new_name_h'); |
|
1642 |
+pre_h=findobj(get(0,'Children'),'Tag','Preprocess'); |
|
1643 |
+INDEX=getfield(getfield(get(pre_h,'UserData'),'sData'),'INDEX'); |
|
1644 |
+MODIFIED=getfield(getfield(get(pre_h,'UserData'),'sData'),'MODIFIED'); |
|
1645 |
+value=get(getfield(get(man_h,'UserData'),'sets_h'),'Value'); |
|
1646 |
+ |
|
1647 |
+if value==INDEX |
|
1648 |
+ data=get(pre_h,'UserData'); |
|
1649 |
+ sData=rmfield(data.sData,[{'INDEX'};{'MODIFIED'}]); |
|
1650 |
+ data.sD_set(INDEX)=sData; |
|
1651 |
+ data.sData.MODIFIED=0; |
|
1652 |
+ set(pre_h,'UserData',data); |
|
1653 |
+end |
|
1654 |
+ |
|
1655 |
+sData=getfield(getfield(get(pre_h,'UserData'),'sD_set'),{value}); |
|
1656 |
+string1=[{sData.name}]; |
|
1657 |
+ |
|
1658 |
+ |
|
1659 |
+set(sD_name_h,'String',string1); |
|
1660 |
+set(c_names_h,'String',sData.comp_names); |
|
1661 |
+ |
|
1662 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
1663 |
+ |
|
1664 |
+%%% Subfunction: import %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
1665 |
+ |
|
1666 |
+function import(varargin) |
|
1667 |
+ |
|
1668 |
+if nargin==1 |
|
1669 |
+ LOG=1; |
|
1670 |
+ man_h=findobj(get(0,'Children'),'Tag','Management'); |
|
1671 |
+ set(0,'CurrentFigure',man_h); |
|
1672 |
+ name=varargin; |
|
1673 |
+else |
|
1674 |
+ LOG=0; |
|
1675 |
+end |
|
1676 |
+ |
|
1677 |
+variables_h=getfield(get(gcf,'UserData'),'variables_h'); |
|
1678 |
+pre_h=findobj(get(0,'Children'),'Tag','Preprocess'); |
|
1679 |
+if ~LOG |
|
1680 |
+ name=getfield(get(variables_h,'String'),{get(variables_h,'Value')}); |
|
1681 |
+end |
|
1682 |
+errstr='Data to be imported must be real matrix or ''som_data_struct''.'; |
|
1683 |
+new_sD=evalin('base',name{1}); |
|
1684 |
+ |
|
1685 |
+if isempty(pre_h) |
|
1686 |
+ errordlg('''Preprocess'' -figure does not exist. Terminating program...'); |
|
1687 |
+ close_preprocess; |
|
1688 |
+ return; |
|
1689 |
+end |
|
1690 |
+ |
|
1691 |
+if isstr(new_sD) | (~isstruct(new_sD) & ~isreal(new_sD)) |
|
1692 |
+ errordlg(errstr); |
|
1693 |
+ return; |
|
1694 |
+elseif isstruct(new_sD) & length(new_sD) > 1 |
|
1695 |
+ errordlg(errstr) |
|
1696 |
+ return; |
|
1697 |
+elseif ~isstruct(new_sD) |
|
1698 |
+ new_sD=som_data_struct(new_sD); |
|
1699 |
+ new_sD.name=name{1}; |
|
1700 |
+end |
|
1701 |
+ |
|
1702 |
+new_sD_names=fieldnames(new_sD); |
|
1703 |
+right_names=fieldnames(som_data_struct(1)); |
|
1704 |
+for i=1:length(new_sD_names) |
|
1705 |
+ if ~any(strcmp(new_sD_names(i),right_names)); |
|
1706 |
+ errordlg(errstr); |
|
1707 |
+ return; |
|
1708 |
+ end |
|
1709 |
+end |
|
1710 |
+ |
|
1711 |
+data=get(pre_h,'UserData'); |
|
1712 |
+data.sD_set(length(data.sD_set) + 1)=new_sD; |
|
1713 |
+if ~LOG |
|
1714 |
+ data.LOG{length(data.LOG)+1}='% Import a data set from the workspace.'; |
|
1715 |
+ data.LOG{length(data.LOG)+1}=cat(2,'preprocess(''import'',''',... |
|
1716 |
+ name{1},''');'); |
|
1717 |
+end |
|
1718 |
+set(pre_h,'UserData',data); |
|
1719 |
+sD_names; |
|
1720 |
+sD_stats; |
|
1721 |
+old =gcf; |
|
1722 |
+set(0,'CurrentFigure',pre_h); |
|
1723 |
+set_sD_stats; |
|
1724 |
+set(0,'CurrentFigure',old); |
|
1725 |
+ |
|
1726 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
1727 |
+ |
|
1728 |
+%%% Subfunction: export %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
1729 |
+ |
|
1730 |
+function export(varargin) |
|
1731 |
+ |
|
1732 |
+if nargin == 1 |
|
1733 |
+ LOG=1; |
|
1734 |
+ man_h=findobj(get(0,'Children'),'Tag','Management'); |
|
1735 |
+ set(0,'CurrentFigure',man_h); |
|
1736 |
+ index=str2num(varargin{1}); |
|
1737 |
+else |
|
1738 |
+ LOG=0; |
|
1739 |
+end |
|
1740 |
+ |
|
1741 |
+sets_h=getfield(get(gcf,'UserData'),'sets_h'); |
|
1742 |
+pre_h=findobj(get(0,'Children'),'Tag','Preprocess'); |
|
1743 |
+ |
|
1744 |
+if ~LOG |
|
1745 |
+ index=get(sets_h,'Value'); |
|
1746 |
+end |
|
1747 |
+ |
|
1748 |
+if isempty(pre_h) |
|
1749 |
+ errordlg('''Preprocess''-figure does not exist. Terminating program...'); |
|
1750 |
+ close(findobj(get(0,'Children'),'Tag','Management')); |
|
1751 |
+ close(findobj(get(0,'Children'),'Tag','PlotWin')); |
|
1752 |
+ return; |
|
1753 |
+end |
|
1754 |
+ |
|
1755 |
+sData=getfield(getfield(get(pre_h,'UserData'),'sD_set'),{index}); |
|
1756 |
+ |
|
1757 |
+if ~isvalid_var_name({sData.name}) |
|
1758 |
+ return; |
|
1759 |
+end |
|
1760 |
+ |
|
1761 |
+assignin('base',sData.name,sData); |
|
1762 |
+disp(sprintf('Data set ''%s'' is set to the workspace.',sData.name)); |
|
1763 |
+if ~LOG |
|
1764 |
+ data=get(pre_h,'UserData'); |
|
1765 |
+ data.LOG{length(data.LOG)+1}='% Export a data set to the workspace.'; |
|
1766 |
+ data.LOG{length(data.LOG)+1}=cat(2,'preprocess(''export'',''',... |
|
1767 |
+ num2str(index),''');'); |
|
1768 |
+ set(pre_h,'UserData',data); |
|
1769 |
+end |
|
1770 |
+set_var_names; |
|
1771 |
+ |
|
1772 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
1773 |
+ |
|
1774 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
1775 |
+%%% Subfunction: rename %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
1776 |
+ |
|
1777 |
+function rename(arg) |
|
1778 |
+ |
|
1779 |
+i=1; |
|
1780 |
+while i <= length(arg) & arg(i) ~= ' ' |
|
1781 |
+ i=i+1; |
|
1782 |
+end |
|
1783 |
+ |
|
1784 |
+arg2=arg(i+1:length(arg)); |
|
1785 |
+arg=arg(1:i-1); |
|
1786 |
+if ~isempty(arg2) |
|
1787 |
+ LOG=1; |
|
1788 |
+ i=1; |
|
1789 |
+ if arg2(1) ~= '{' |
|
1790 |
+ while i <= length(arg2) & arg2(i) ~= ' ' |
|
1791 |
+ i=i+1; |
|
1792 |
+ end |
|
1793 |
+ index=str2num(arg2(i+1:length(arg2))); |
|
1794 |
+ arg2=arg2(1:i-1); |
|
1795 |
+ else |
|
1796 |
+ while i <= length(arg2) & arg2(i) ~= '}' |
|
1797 |
+ i=i+1; |
|
1798 |
+ end |
|
1799 |
+ index=str2num(arg2(i+1:length(arg2))); |
|
1800 |
+ arg2=arg2(1:i); |
|
1801 |
+ end |
|
1802 |
+else |
|
1803 |
+ LOG=0; |
|
1804 |
+end |
|
1805 |
+ |
|
1806 |
+new_name_h=getfield(get(gcf,'UserData'),'new_name_h'); |
|
1807 |
+new_c_name_h=getfield(get(gcf,'UserData'),'new_c_name_h'); |
|
1808 |
+pre_h=findobj(get(0,'Children'),'Tag','Preprocess'); |
|
1809 |
+ |
|
1810 |
+if isempty(pre_h) |
|
1811 |
+ errordlg('''Preprocess'' -figure does not exist. Terminating program...'); |
|
1812 |
+ close_preprocess; |
|
1813 |
+ return; |
|
1814 |
+end |
|
1815 |
+ |
|
1816 |
+switch arg |
|
1817 |
+ case 'set' |
|
1818 |
+ if LOG |
|
1819 |
+ name={arg2}; |
|
1820 |
+ else |
|
1821 |
+ name=get(new_name_h,'String'); |
|
1822 |
+ end |
|
1823 |
+ if ~isempty(name{1}) & ~any(isspace(name{1})) |
|
1824 |
+ if ~isvalid_var_name(name) |
|
1825 |
+ sD_stats; |
|
1826 |
+ return; |
|
1827 |
+ end |
|
1828 |
+ if ~LOG |
|
1829 |
+ index=get(getfield(get(gcf,'UserData'),'sets_h'),'Value'); |
|
1830 |
+ end |
|
1831 |
+ data=get(pre_h,'UserData'); |
|
1832 |
+ tmp_set.name=name{1}; |
|
1833 |
+ data.sD_set(index).name=name{1}; |
|
1834 |
+ if data.sData.INDEX == index |
|
1835 |
+ data.sData.name=name{1}; |
|
1836 |
+ end |
|
1837 |
+ if ~LOG |
|
1838 |
+ data.LOG{length(data.LOG)+1}='% Rename a data set.'; |
|
1839 |
+ data.LOG{length(data.LOG)+1}=cat(2,'preprocess(''rename'',''set ',... |
|
1840 |
+ name{1},' ',... |
|
1841 |
+ num2str(index),... |
|
1842 |
+ ''');'); |
|
1843 |
+ end |
|
1844 |
+ |
|
1845 |
+ set(pre_h,'UserData',data); |
|
1846 |
+ sD_names; |
|
1847 |
+ string=get(data.sD_set_h,'String'); |
|
1848 |
+ string{index}=cat(2,sprintf('#%d: ',index),name{1}); |
|
1849 |
+ set(data.sD_set_h,'String',string); |
|
1850 |
+ string=get(data.sD_name_h,'String'); |
|
1851 |
+ string{1}=cat(2,'Name: ',name{1}); |
|
1852 |
+ if index==data.sData.INDEX |
|
1853 |
+ set(data.sD_name_h,'String',string); |
|
1854 |
+ end |
|
1855 |
+ else |
|
1856 |
+ sD_stats; |
|
1857 |
+ end |
|
1858 |
+ case 'comp' |
|
1859 |
+ if ~LOG |
|
1860 |
+ names=get(new_c_name_h,'String'); |
|
1861 |
+ index=get(getfield(get(gcf,'UserData'),'sets_h'),'Value'); |
|
1862 |
+ else |
|
1863 |
+ names=eval(arg2); |
|
1864 |
+ end |
|
1865 |
+ if check_cell_names(names) |
|
1866 |
+ data=get(pre_h,'UserData'); |
|
1867 |
+ sData=data.sD_set(index); |
|
1868 |
+ if length(sData.comp_names)==length(names) |
|
1869 |
+ data.sD_set(index).comp_names=names; |
|
1870 |
+ if index == data.sData.INDEX |
|
1871 |
+ for i=1:length(names) |
|
1872 |
+ names{i}=cat(2,sprintf('#%d: ',i),names{i}); |
|
1873 |
+ end |
|
1874 |
+ set(data.comp_names_h,'String',names); |
|
1875 |
+ set(data.sel_comp_h,'String',names); |
|
1876 |
+ end |
|
1877 |
+ if ~LOG |
|
1878 |
+ data.LOG{length(data.LOG)+1}='% Rename components.'; |
|
1879 |
+ str='preprocess(''rename'',''comp {'; |
|
1880 |
+ for i=1:length(names)-1 |
|
1881 |
+ str=cat(2,str,'''''',names{i},''''','); |
|
1882 |
+ end |
|
1883 |
+ str=cat(2,str,'''''',names{length(names)},'''''} ',... |
|
1884 |
+ num2str(index),''');'); |
|
1885 |
+ data.LOG{length(data.LOG)+1}=str; |
|
1886 |
+ else |
|
1887 |
+ set(new_c_name_h,'String',names); |
|
1888 |
+ end |
|
1889 |
+ set(pre_h,'UserData',data); |
|
1890 |
+ else |
|
1891 |
+ errordlg('There are less components in data.'); |
|
1892 |
+ sD_stats; |
|
1893 |
+ return; |
|
1894 |
+ end |
|
1895 |
+ else |
|
1896 |
+ sD_stats; |
|
1897 |
+ end |
|
1898 |
+end |
|
1899 |
+ |
|
1900 |
+%%% Subfunction: check_cell_names %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
1901 |
+ |
|
1902 |
+function bool=check_cell_names(names) |
|
1903 |
+ |
|
1904 |
+bool = 1; |
|
1905 |
+ |
|
1906 |
+if isempty(names) |
|
1907 |
+ bool= 0; |
|
1908 |
+ return; |
|
1909 |
+end |
|
1910 |
+for i=1:length(names) |
|
1911 |
+ if isempty(names{i}) | isspace(names{i}) |
|
1912 |
+ bool = 0; |
|
1913 |
+ return; |
|
1914 |
+ end |
|
1915 |
+end |
|
1916 |
+ |
|
1917 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
1918 |
+ |
|
1919 |
+%%% Subfunction: isvalid_var_name %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
1920 |
+ |
|
1921 |
+function bool=isvalid_var_name(name) |
|
1922 |
+ |
|
1923 |
+bool=1; |
|
1924 |
+ |
|
1925 |
+tmp=name{1}; |
|
1926 |
+if ~((tmp(1)>='a' & tmp(1)<='z') | (tmp(1)>='A' & tmp(1)<='Z')) |
|
1927 |
+ errordlg('Invalid name.'); |
|
1928 |
+ bool=0; |
|
1929 |
+ return; |
|
1930 |
+end |
|
1931 |
+for j=1:length(tmp) |
|
1932 |
+ if ~((tmp(j)>='a' & tmp(j)<='z') | ... |
|
1933 |
+ (tmp(j)>='A' & tmp(j)<='Z') | ... |
|
1934 |
+ (j>1 & tmp(j) == '_') | ... |
|
1935 |
+ (tmp(j)>='0' & tmp(j) <= '9')) | tmp(j) == '.' |
|
1936 |
+ errordlg('Invalid name.'); |
|
1937 |
+ bool=0; |
|
1938 |
+ return; |
|
1939 |
+ end |
|
1940 |
+ if j == length(tmp) & tmp(j) == '_' |
|
1941 |
+ errordlg('Invalid name.'); |
|
1942 |
+ bool=0; |
|
1943 |
+ return; |
|
1944 |
+ end |
|
1945 |
+end |
|
1946 |
+ |
|
1947 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
1948 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
1949 |
+ |
|
1950 |
+%%% Subfunction: copy_delete %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
1951 |
+ |
|
1952 |
+function copy_delete(arg) |
|
1953 |
+ |
|
1954 |
+i=1; |
|
1955 |
+while i <= length(arg) & arg(i) ~= ' ' |
|
1956 |
+ i=i+1; |
|
1957 |
+end |
|
1958 |
+ |
|
1959 |
+arg2=arg(i+1:length(arg)); |
|
1960 |
+arg=arg(1:i-1); |
|
1961 |
+ |
|
1962 |
+if ~isempty(arg2) |
|
1963 |
+ index=str2num(arg2); |
|
1964 |
+ LOG=1; |
|
1965 |
+else |
|
1966 |
+ LOG=0; |
|
1967 |
+end |
|
1968 |
+ |
|
1969 |
+sets_h=getfield(get(gcf,'UserData'),'sets_h'); |
|
1970 |
+if ~LOG |
|
1971 |
+ index=get(sets_h,'Value'); |
|
1972 |
+end |
|
1973 |
+pre_h=findobj(get(0,'Children'),'Tag','Preprocess'); |
|
1974 |
+ |
|
1975 |
+if isempty(pre_h) |
|
1976 |
+ errordlg('''Preprocess'' -figure does not exist. Terminating program.'); |
|
1977 |
+ close_preprocess; |
|
1978 |
+ return; |
|
1979 |
+end |
|
1980 |
+ |
|
1981 |
+switch arg |
|
1982 |
+ case 'copy' |
|
1983 |
+ data=get(pre_h,'UserData'); |
|
1984 |
+ data.sD_set(length(data.sD_set)+1)=data.sD_set(index); |
|
1985 |
+ if ~LOG |
|
1986 |
+ data.LOG{length(data.LOG)+1}='% Copy a data set.'; |
|
1987 |
+ data.LOG{length(data.LOG)+1}=cat(2,'preprocess(''copy_delete'',''',... |
|
1988 |
+ 'copy ',num2str(index),''');'); |
|
1989 |
+ end |
|
1990 |
+ set(pre_h,'UserData',data); |
|
1991 |
+ sD_names; |
|
1992 |
+ old=gcf; |
|
1993 |
+ set(0,'CurrentFigure',pre_h); |
|
1994 |
+ set_sD_stats; |
|
1995 |
+ set(0,'CurrentFigure',old); |
|
1996 |
+ case 'delete' |
|
1997 |
+ if length(get(sets_h,'String')) == 1 |
|
1998 |
+ msgbox('No data left. Closing program...') |
|
1999 |
+ close_preprocess; |
|
2000 |
+ return; |
|
2001 |
+ end |
|
2002 |
+ data=get(pre_h,'UserData'); |
|
2003 |
+ if ~isempty(data.undo) & any(strcmp('index',fieldnames(data.undo))) |
|
2004 |
+ if data.undo.index > index |
|
2005 |
+ data.undo.index = data.undo.index-1; |
|
2006 |
+ elseif data.undo.index==index; |
|
2007 |
+ data.undo=[]; |
|
2008 |
+ end |
|
2009 |
+ end |
|
2010 |
+ set1=data.sD_set(1:index-1); |
|
2011 |
+ set2=data.sD_set(index+1:length(data.sD_set)); |
|
2012 |
+ |
|
2013 |
+ if ~isempty(set1) |
|
2014 |
+ data.sD_set=[set1 set2]; |
|
2015 |
+ else |
|
2016 |
+ data.sD_set=set2; |
|
2017 |
+ end |
|
2018 |
+ if ~LOG |
|
2019 |
+ data.LOG{length(data.LOG)+1}='% Delete a data set.'; |
|
2020 |
+ data.LOG{length(data.LOG)+1}=cat(2,'preprocess(''copy_delete'',''',... |
|
2021 |
+ 'delete ',num2str(index),''');'); |
|
2022 |
+ end |
|
2023 |
+ set(pre_h,'UserData',data); |
|
2024 |
+ |
|
2025 |
+ set(sets_h,'Value',1); |
|
2026 |
+ sD_names; |
|
2027 |
+ sD_stats; |
|
2028 |
+ old = gcf; |
|
2029 |
+ set(0,'CurrentFigure',pre_h); |
|
2030 |
+ |
|
2031 |
+ for i=1:length(data.sD_set) |
|
2032 |
+ string{i}=cat(2,sprintf('#%d: ',i),data.sD_set(i).name); |
|
2033 |
+ end |
|
2034 |
+ |
|
2035 |
+ set(data.sD_set_h,'String',string); |
|
2036 |
+ data.sData=data.sD_set(get(data.sD_set_h,'Value')); |
|
2037 |
+ data.sData.MODIFIED=0; |
|
2038 |
+ data.sData.INDEX=1; |
|
2039 |
+ set(gcf,'UserData',data); |
|
2040 |
+ write_sD_stats; |
|
2041 |
+ |
|
2042 |
+ sData=getfield(get(gcf,'UserData'),'sData'); |
|
2043 |
+ if sData.INDEX > index |
|
2044 |
+ value=get(getfield(get(gcf,'UserData'),'sD_set_h'),'Value'); |
|
2045 |
+ set(getfield(get(gcf,'UserData'),'sD_set_h'),'Value',value-1); |
|
2046 |
+ sData.INDEX = sData.INDEX -1; |
|
2047 |
+ elseif sData.INDEX == index |
|
2048 |
+ set(getfield(get(gcf,'UserData'),'sD_set_h'),'Value',1); |
|
2049 |
+ end |
|
2050 |
+ |
|
2051 |
+ sel_sD; |
|
2052 |
+ set(0,'CurrentFigure',old); |
|
2053 |
+end |
|
2054 |
+ |
|
2055 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
2056 |
+ |
|
2057 |
+function clipping(varargin) |
|
2058 |
+ |
|
2059 |
+if nargin ~= 1 |
|
2060 |
+ pre_h=findobj(get(0,'Children'),'Tag','Preprocess'); |
|
2061 |
+ preh_udata=get(pre_h,'UserData'); |
|
2062 |
+ preh_udata.LOG{length(preh_udata.LOG)+1}=... |
|
2063 |
+ '% Starting the ''Clipping'' -window...'; |
|
2064 |
+ preh_udata.LOG{length(preh_udata.LOG)+1}='preprocess(''clipping'',''foo'');'; |
|
2065 |
+ set(pre_h,'UserData',preh_udata); |
|
2066 |
+end |
|
2067 |
+ |
|
2068 |
+clip_h=findobj(get(0,'Children'),'Tag','Clipping'); |
|
2069 |
+ |
|
2070 |
+if ~isempty(clip_h) |
|
2071 |
+ figure(clip_h); |
|
2072 |
+ return; |
|
2073 |
+end |
|
2074 |
+ |
|
2075 |
+h0 = figure('Color',[0.8 0.8 0.8], ... |
|
2076 |
+ 'PaperPosition',[18 180 575 432], ... |
|
2077 |
+ 'PaperUnits','points', ... |
|
2078 |
+ 'Position',[718 389 300 249], ... |
|
2079 |
+ 'Tag','Clipping'); |
|
2080 |
+ |
|
2081 |
+h1 = uicontrol('Parent',h0, ... |
|
2082 |
+ 'Units','normalized', ... |
|
2083 |
+ 'BackgroundColor',[0.752941176470588 0.752941176470588 0.752941176470588], ... |
|
2084 |
+ 'ListboxTop',0, ... |
|
2085 |
+ 'Position',[0.03 0.03614457831325301 0.4666666666666667 0.9236947791164658], ... |
|
2086 |
+ 'Style','frame', ... |
|
2087 |
+ 'Tag','Frame1'); |
|
2088 |
+ |
|
2089 |
+h1 = uicontrol('Parent',h0, ... |
|
2090 |
+ 'Units','normalized', ... |
|
2091 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
2092 |
+ 'ListboxTop',0, ... |
|
2093 |
+ 'Position',[0.05333333333333334 0.5983935742971887 0.42 0.3333333333333333], ... |
|
2094 |
+ 'Style','frame', ... |
|
2095 |
+ 'Tag','Frame2'); |
|
2096 |
+ |
|
2097 |
+h1 = uicontrol('Parent',h0, ... |
|
2098 |
+ 'Units','normalized', ... |
|
2099 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
2100 |
+ 'ListboxTop',0, ... |
|
2101 |
+ 'Style','frame', ... |
|
2102 |
+ 'Position',[0.05333333333333334 0.33 0.42 0.24], ... |
|
2103 |
+ 'Tag','Frame3'); |
|
2104 |
+ |
|
2105 |
+h1 = uicontrol('Parent',h0, ... |
|
2106 |
+ 'Units','normalized', ... |
|
2107 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
2108 |
+ 'ListboxTop',0, ... |
|
2109 |
+ 'Style','frame', ... |
|
2110 |
+ 'Position',[0.05333333333333334 0.06 0.42 0.24],... |
|
2111 |
+ 'Tag','Frame4'); |
|
2112 |
+ |
|
2113 |
+h1 = uicontrol('Parent',h0, ... |
|
2114 |
+ 'Units','normalized', ... |
|
2115 |
+ 'ListboxTop',0, ... |
|
2116 |
+ 'Position',[0.5133333333333334 0.6385542168674698 0.4666666666666667 0.321285140562249], ... |
|
2117 |
+ 'Style','frame', ... |
|
2118 |
+ 'Tag','Frame5'); |
|
2119 |
+ |
|
2120 |
+h1 = uicontrol('Parent',h0, ... |
|
2121 |
+ 'Units','normalized', ... |
|
2122 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
2123 |
+ 'ListboxTop',0, ... |
|
2124 |
+ 'Position',[0.5366666666666667 0.6666666666666666 0.42 0.2650602409638554], ... |
|
2125 |
+ 'Style','frame', ... |
|
2126 |
+ 'Tag','Frame6'); |
|
2127 |
+ |
|
2128 |
+h1 = uicontrol('Parent',h0, ... |
|
2129 |
+ 'Units','normalized', ... |
|
2130 |
+ 'BackgroundColor',[1 1 1], ... |
|
2131 |
+ 'ListboxTop',0, ... |
|
2132 |
+ 'Position',[0.31 0.823293172690763 0.15 0.09638554216867469], ... |
|
2133 |
+ 'Style','edit', ... |
|
2134 |
+ 'Tag','EditText1'); |
|
2135 |
+ |
|
2136 |
+data.big_val_h = h1; |
|
2137 |
+ |
|
2138 |
+h1 = uicontrol('Parent',h0, ... |
|
2139 |
+ 'Units','normalized', ... |
|
2140 |
+ 'BackgroundColor',[1 1 1], ... |
|
2141 |
+ 'ListboxTop',0, ... |
|
2142 |
+ 'Position',[0.31 0.7148594377510039 0.15 0.09638554216867469], ... |
|
2143 |
+ 'Style','edit', ... |
|
2144 |
+ 'Tag','EditText2'); |
|
2145 |
+ |
|
2146 |
+data.small_val_h = h1; |
|
2147 |
+ |
|
2148 |
+h1 = uicontrol('Parent',h0, ... |
|
2149 |
+ 'Units','normalized', ... |
|
2150 |
+ 'BackgroundColor',[1 1 1], ... |
|
2151 |
+ 'ListboxTop',0, ... |
|
2152 |
+ 'Position',[0.31 0.606425702811245 0.15 0.09638554216867469], ... |
|
2153 |
+ 'Style','edit', ... |
|
2154 |
+ 'Tag','EditText3'); |
|
2155 |
+ |
|
2156 |
+data.equal_val_h=h1; |
|
2157 |
+ |
|
2158 |
+h1 = uicontrol('Parent',h0, ... |
|
2159 |
+ 'Units','normalized', ... |
|
2160 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
2161 |
+ 'FontSize',6, ... |
|
2162 |
+ 'FontWeight','demi', ... |
|
2163 |
+ 'HorizontalAlignment','left', ... |
|
2164 |
+ 'ListboxTop',0, ... |
|
2165 |
+ 'Position',[0.06000000000000001 0.8473895582329316 0.22 0.05622489959839357], ... |
|
2166 |
+ 'String','Bigger than', ... |
|
2167 |
+ 'Style','text', ... |
|
2168 |
+ 'Tag','StaticText1'); |
|
2169 |
+h1 = uicontrol('Parent',h0, ... |
|
2170 |
+ 'Units','normalized', ... |
|
2171 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
2172 |
+ 'FontSize',6, ... |
|
2173 |
+ 'FontWeight','demi', ... |
|
2174 |
+ 'HorizontalAlignment','left', ... |
|
2175 |
+ 'ListboxTop',0, ... |
|
2176 |
+ 'Position',[0.06000000000000001 0.7389558232931727 0.24 0.04819277108433735], ... |
|
2177 |
+ 'String','Smaller than', ... |
|
2178 |
+ 'Style','text', ... |
|
2179 |
+ 'Tag','StaticText2'); |
|
2180 |
+h1 = uicontrol('Parent',h0, ... |
|
2181 |
+ 'Units','normalized', ... |
|
2182 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
2183 |
+ 'FontSize',6, ... |
|
2184 |
+ 'FontWeight','demi', ... |
|
2185 |
+ 'HorizontalAlignment','left', ... |
|
2186 |
+ 'ListboxTop',0, ... |
|
2187 |
+ 'Position',[0.06000000000000001 0.610441767068273 0.22 0.07228915662650602], ... |
|
2188 |
+ 'String','Equal to', ... |
|
2189 |
+ 'Style','text', ... |
|
2190 |
+ 'Tag','StaticText3'); |
|
2191 |
+ |
|
2192 |
+h1 = uicontrol('Parent',h0, ... |
|
2193 |
+ 'Units','normalized', ... |
|
2194 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
2195 |
+ 'ListboxTop',0, ... |
|
2196 |
+ 'Position',[0.07000000000000001 0.465863453815261 0.06333333333333334 0.07228915662650602], ... |
|
2197 |
+ 'Style','radiobutton', ... |
|
2198 |
+ 'Value',1,... |
|
2199 |
+ 'Tag','Radiobutton1'); |
|
2200 |
+ |
|
2201 |
+data.and_button_h=h1; |
|
2202 |
+ |
|
2203 |
+h1 = uicontrol('Parent',h0, ... |
|
2204 |
+ 'Units','normalized', ... |
|
2205 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
2206 |
+ 'ListboxTop',0, ... |
|
2207 |
+ 'Position',[0.07000000000000001 0.3734939759036144 0.06333333333333334 0.07228915662650602], ... |
|
2208 |
+ 'Style','radiobutton', ... |
|
2209 |
+ 'Tag','Radiobutton2'); |
|
2210 |
+ |
|
2211 |
+data.or_button_h=h1; |
|
2212 |
+ |
|
2213 |
+h1 = uicontrol('Parent',h0, ... |
|
2214 |
+ 'Units','normalized', ... |
|
2215 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
2216 |
+ 'FontSize',6, ... |
|
2217 |
+ 'FontWeight','demi', ... |
|
2218 |
+ 'HorizontalAlignment','left', ... |
|
2219 |
+ 'Position',[0.1466666666666667 0.45 0.2333333333333333 0.07228915662650602], ... |
|
2220 |
+ 'String','AND', ... |
|
2221 |
+ 'Style','text', ... |
|
2222 |
+ 'Tag','StaticText4'); |
|
2223 |
+ |
|
2224 |
+h1 = uicontrol('Parent',h0, ... |
|
2225 |
+ 'Units','normalized', ... |
|
2226 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
2227 |
+ 'FontSize',6, ... |
|
2228 |
+ 'FontWeight','demi', ... |
|
2229 |
+ 'HorizontalAlignment','left', ... |
|
2230 |
+ 'ListboxTop',0, ... |
|
2231 |
+ 'String','OR', ... |
|
2232 |
+ 'Position',[0.1466666666666667 0.35 0.2333333333333333 0.07228915662650602], ... |
|
2233 |
+ 'Style','text', ... |
|
2234 |
+ 'Tag','StaticText5'); |
|
2235 |
+ |
|
2236 |
+h1 = uicontrol('Parent',h0, ... |
|
2237 |
+ 'Units','normalized', ... |
|
2238 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
2239 |
+ 'ListboxTop',0, ... |
|
2240 |
+ 'Position',[0.07000000000000001 0.1967871485943775 0.06333333333333334 0.07228915662650602], ... |
|
2241 |
+ 'Style','radiobutton', ... |
|
2242 |
+ 'Value',1,... |
|
2243 |
+ 'Tag','Radiobutton3'); |
|
2244 |
+ |
|
2245 |
+data.all_button_h=h1; |
|
2246 |
+ |
|
2247 |
+h1 = uicontrol('Parent',h0, ... |
|
2248 |
+ 'Units','normalized', ... |
|
2249 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
2250 |
+ 'ListboxTop',0, ... |
|
2251 |
+ 'Position',[0.07000000000000001 0.09236947791164658 0.06333333333333334 0.07228915662650602], ... |
|
2252 |
+ 'Style','radiobutton', ... |
|
2253 |
+ 'Tag','Radiobutton4'); |
|
2254 |
+ |
|
2255 |
+data.sel_vects_button_h=h1; |
|
2256 |
+ |
|
2257 |
+h1 = uicontrol('Parent',h0, ... |
|
2258 |
+ 'Units','normalized', ... |
|
2259 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
2260 |
+ 'FontSize',6, ... |
|
2261 |
+ 'FontWeight','demi', ... |
|
2262 |
+ 'HorizontalAlignment','left', ... |
|
2263 |
+ 'ListboxTop',0, ... |
|
2264 |
+ 'Position',[0.1466666666666667 0.1927710843373494 0.2333333333333333 0.07228915662650602], ... |
|
2265 |
+ 'String','All vectors', ... |
|
2266 |
+ 'Style','text', ... |
|
2267 |
+ 'Tag','StaticText6'); |
|
2268 |
+h1 = uicontrol('Parent',h0, ... |
|
2269 |
+ 'Units','normalized', ... |
|
2270 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
2271 |
+ 'FontSize',6, ... |
|
2272 |
+ 'FontWeight','demi', ... |
|
2273 |
+ 'HorizontalAlignment','left', ... |
|
2274 |
+ 'ListboxTop',0, ... |
|
2275 |
+ 'Position',[0.1466666666666667 0.09638554216867469 0.3133333333333334 0.05622489959839357], ... |
|
2276 |
+ 'String','Among selected', ... |
|
2277 |
+ 'Style','text', ... |
|
2278 |
+ 'Tag','StaticText7'); |
|
2279 |
+h1 = uicontrol('Parent',h0, ... |
|
2280 |
+ 'Units','normalized', ... |
|
2281 |
+ 'BackgroundColor',[1 1 1], ... |
|
2282 |
+ 'ListboxTop',0, ... |
|
2283 |
+ 'Position',[0.7866666666666667 0.823293172690763 0.1366666666666667 0.09236947791164658], ... |
|
2284 |
+ 'Style','edit', ... |
|
2285 |
+ 'Tag','EditText4'); |
|
2286 |
+ |
|
2287 |
+data.replace_val_h=h1; |
|
2288 |
+ |
|
2289 |
+h1 = uicontrol('Parent',h0, ... |
|
2290 |
+ 'Units','normalized', ... |
|
2291 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
2292 |
+ 'FontSize',6, ... |
|
2293 |
+ 'FontWeight','demi', ... |
|
2294 |
+ 'HorizontalAlignment','left', ... |
|
2295 |
+ 'ListboxTop',0, ... |
|
2296 |
+ 'Position',[0.5633333333333334 0.8273092369477911 0.2066666666666667 0.07630522088353413], ... |
|
2297 |
+ 'String','Replace', ... |
|
2298 |
+ 'Style','text', ... |
|
2299 |
+ 'Tag','StaticText8'); |
|
2300 |
+h1 = uicontrol('Parent',h0, ... |
|
2301 |
+ 'Units','normalized', ... |
|
2302 |
+ 'FontWeight','demi', ... |
|
2303 |
+ 'ListboxTop',0, ... |
|
2304 |
+ 'Position',[0.5700000000000001 0.6827309236947791 0.3566666666666667 0.08032128514056225], ... |
|
2305 |
+ 'String','Replace', ... |
|
2306 |
+ 'Tag','Pushbutton1'); |
|
2307 |
+ |
|
2308 |
+data.OK_button_h=h1; |
|
2309 |
+ |
|
2310 |
+h1 = uicontrol('Parent',h0, ... |
|
2311 |
+ 'Units','normalized', ... |
|
2312 |
+ 'BackgroundColor',[0.752941176470588 0.752941176470588 0.752941176470588], ... |
|
2313 |
+ 'Callback','preprocess close_c',... |
|
2314 |
+ 'FontWeight','demi', ... |
|
2315 |
+ 'ListboxTop',0, ... |
|
2316 |
+ 'Position',[0.6633333333333333 0.07228915662650602 0.2833333333333333 0.09638554216867469], ... |
|
2317 |
+ 'String','Close', ... |
|
2318 |
+ 'Tag','Pushbutton2'); |
|
2319 |
+ |
|
2320 |
+ |
|
2321 |
+data.state.and=1; |
|
2322 |
+data.state.all=1; |
|
2323 |
+data.state.big=[]; |
|
2324 |
+data.state.small=[]; |
|
2325 |
+data.state.equal=[]; |
|
2326 |
+data.state.replace=[]; |
|
2327 |
+ |
|
2328 |
+set(data.or_button_h,'Callback','preprocess and_or_cb or'); |
|
2329 |
+set(data.and_button_h,'Callback','preprocess and_or_cb and'); |
|
2330 |
+set(data.and_button_h,'Value',1); |
|
2331 |
+set(data.all_button_h,'Callback','preprocess all_sel_cb all'); |
|
2332 |
+set(data.sel_vects_button_h,'Callback','preprocess all_sel_cb sel'); |
|
2333 |
+set(data.big_val_h,'Callback','preprocess set_state_vals big'); |
|
2334 |
+set(data.small_val_h,'Callback','preprocess set_state_vals small'); |
|
2335 |
+set(data.equal_val_h,'Callback','preprocess set_state_vals equal'); |
|
2336 |
+set(data.replace_val_h,'Callback','preprocess set_state_vals replace'); |
|
2337 |
+set(data.OK_button_h,'Callback','preprocess clip_data clip'); |
|
2338 |
+set(h0,'UserData',data); |
|
2339 |
+ |
|
2340 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
2341 |
+ |
|
2342 |
+function select(varargin) |
|
2343 |
+ |
|
2344 |
+if nargin ~= 1 |
|
2345 |
+ pre_h=findobj(get(0,'Children'),'Tag','Preprocess'); |
|
2346 |
+ preh_udata=get(pre_h,'UserData'); |
|
2347 |
+ preh_udata.LOG{length(preh_udata.LOG)+1}=... |
|
2348 |
+ '% Starting the ''Select'' -window...'; |
|
2349 |
+ preh_udata.LOG{length(preh_udata.LOG)+1}='preprocess(''select'',''foo'');'; |
|
2350 |
+ set(pre_h,'UserData',preh_udata); |
|
2351 |
+end |
|
2352 |
+ |
|
2353 |
+sel_h=findobj(get(0,'Children'),'Tag','Select'); |
|
2354 |
+ |
|
2355 |
+if ~isempty(sel_h) |
|
2356 |
+ figure(sel_h); |
|
2357 |
+ return; |
|
2358 |
+end |
|
2359 |
+ |
|
2360 |
+h0 = figure('Color',[0.8 0.8 0.8], ... |
|
2361 |
+ 'PaperPosition',[18 180 576 432], ... |
|
2362 |
+ 'PaperUnits','points', ... |
|
2363 |
+ 'Position',[750 431 168 365], ... |
|
2364 |
+ 'Tag','Select'); |
|
2365 |
+h1 = uicontrol('Parent',h0, ... |
|
2366 |
+ 'Units','normalized', ... |
|
2367 |
+ 'BackgroundColor',[0.752941176470588 0.752941176470588 0.752941176470588], ... |
|
2368 |
+ 'ListboxTop',0, ... |
|
2369 |
+ 'Position',[0.05357142857142857 0.2712328767123288 0.8333333333333333 0.6301369863013698], ... |
|
2370 |
+ 'Style','frame', ... |
|
2371 |
+ 'Tag','Frame1'); |
|
2372 |
+ |
|
2373 |
+h1 = uicontrol('Parent',h0, ... |
|
2374 |
+ 'Units','normalized', ... |
|
2375 |
+ 'BackgroundColor',[0.752941176470588 0.752941176470588 0.752941176470588], ... |
|
2376 |
+ 'ListboxTop',0, ... |
|
2377 |
+ 'Position',[0.05357142857142857 0.1041095890410959 0.8333333333333333 0.1397260273972603], ... |
|
2378 |
+ 'Style','frame', ... |
|
2379 |
+ 'Tag','Frame2'); |
|
2380 |
+ |
|
2381 |
+h1 = uicontrol('Parent',h0,... |
|
2382 |
+ 'Units','normalized', ... |
|
2383 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
2384 |
+ 'ListboxTop',0, ... |
|
2385 |
+ 'Position',[0.09523809523809523 0.6547945205479452 0.75 0.2273972602739726], ... |
|
2386 |
+ 'Style','frame', ... |
|
2387 |
+ 'Tag','Frame3'); |
|
2388 |
+ |
|
2389 |
+h1 = uicontrol('Parent',h0, ... |
|
2390 |
+ 'Units','normalized', ... |
|
2391 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
2392 |
+ 'ListboxTop',0, ... |
|
2393 |
+ 'Position',[0.09523809523809523 0.4794520547945206 0.75 0.1506849315068493], ... |
|
2394 |
+ 'Style','frame', ... |
|
2395 |
+ 'Tag','Frame4'); |
|
2396 |
+ |
|
2397 |
+h1 = uicontrol('Parent',h0, ... |
|
2398 |
+ 'Units','normalized', ... |
|
2399 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
2400 |
+ 'ListboxTop',0, ... |
|
2401 |
+ 'Position',[0.09523809523809523 0.2986301369863014 0.75 0.1506849315068493], ... |
|
2402 |
+ 'Style','frame', ... |
|
2403 |
+ 'Tag','Frame5'); |
|
2404 |
+ |
|
2405 |
+h1 = uicontrol('Parent',h0, ... |
|
2406 |
+ 'Units','normalized', ... |
|
2407 |
+ 'BackgroundColor',[1 1 1], ... |
|
2408 |
+ 'ListboxTop',0, ... |
|
2409 |
+ 'Position',[0.5535714285714285 0.8082191780821918 0.2678571428571429 0.06575342465753425], ... |
|
2410 |
+ 'Style','edit', ... |
|
2411 |
+ 'Tag','EditText1'); |
|
2412 |
+ |
|
2413 |
+data.big_val_h=h1; |
|
2414 |
+ |
|
2415 |
+h1 = uicontrol('Parent',h0, ... |
|
2416 |
+ 'Units','normalized', ... |
|
2417 |
+ 'BackgroundColor',[1 1 1], ... |
|
2418 |
+ 'ListboxTop',0, ... |
|
2419 |
+ 'Position',[0.5535714285714285 0.7342465753424657 0.2678571428571429 0.06575342465753425], ... |
|
2420 |
+ 'Style','edit', ... |
|
2421 |
+ 'Tag','EditText2'); |
|
2422 |
+ |
|
2423 |
+data.small_val_h = h1; |
|
2424 |
+ |
|
2425 |
+h1 = uicontrol('Parent',h0, ... |
|
2426 |
+ 'Units','normalized', ... |
|
2427 |
+ 'BackgroundColor',[1 1 1], ... |
|
2428 |
+ 'ListboxTop',0, ... |
|
2429 |
+ 'Position',[0.5535714285714285 0.6602739726027397 0.2678571428571429 0.06575342465753425], ... |
|
2430 |
+ 'Style','edit', ... |
|
2431 |
+ 'Tag','EditText3'); |
|
2432 |
+ |
|
2433 |
+data.equal_val_h=h1; |
|
2434 |
+ |
|
2435 |
+h1 = uicontrol('Parent',h0, ... |
|
2436 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
2437 |
+ 'Units','normalized', ... |
|
2438 |
+ 'FontWeight','demi', ... |
|
2439 |
+ 'FontSize',8,... |
|
2440 |
+ 'HorizontalAlignment','left', ... |
|
2441 |
+ 'ListboxTop',0, ... |
|
2442 |
+ 'Position',[0.1071 0.8247 0.3929 0.0384], ... |
|
2443 |
+ 'String','Bigger than', ... |
|
2444 |
+ 'Style','text', ... |
|
2445 |
+ 'Tag','StaticText1'); |
|
2446 |
+ |
|
2447 |
+h1 = uicontrol('Parent',h0, ... |
|
2448 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
2449 |
+ 'Units','normalized', ... |
|
2450 |
+ 'FontWeight','demi', ... |
|
2451 |
+ 'FontSize',8,... |
|
2452 |
+ 'HorizontalAlignment','left', ... |
|
2453 |
+ 'ListboxTop',0, ... |
|
2454 |
+ 'Position',[0.1071 0.7507 0.4286 0.0329], ... |
|
2455 |
+ 'String','Smaller than', ... |
|
2456 |
+ 'Style','text', ... |
|
2457 |
+ 'Tag','StaticText2'); |
|
2458 |
+ |
|
2459 |
+h1 = uicontrol('Parent',h0, ... |
|
2460 |
+ 'Units','normalized', ... |
|
2461 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
2462 |
+ 'FontWeight','demi', ... |
|
2463 |
+ 'FontSize',8,... |
|
2464 |
+ 'HorizontalAlignment','left', ... |
|
2465 |
+ 'ListboxTop',0, ... |
|
2466 |
+ 'Position',[0.1071 0.6630 0.3929 0.0493], ... |
|
2467 |
+ 'String','Equal to', ... |
|
2468 |
+ 'Style','text', ... |
|
2469 |
+ 'Tag','StaticText3'); |
|
2470 |
+ |
|
2471 |
+h1 = uicontrol('Parent',h0, ... |
|
2472 |
+ 'Units','normalized', ... |
|
2473 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
2474 |
+ 'ListboxTop',0, ... |
|
2475 |
+ 'Position',[0.125 0.5643835616438356 0.1130952380952381 0.04931506849315068], ... |
|
2476 |
+ 'Style','radiobutton', ... |
|
2477 |
+ 'Tag','Radiobutton1'); |
|
2478 |
+ |
|
2479 |
+data.and_button_h = h1; |
|
2480 |
+ |
|
2481 |
+h1 = uicontrol('Parent',h0, ... |
|
2482 |
+ 'Units','normalized', ... |
|
2483 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
2484 |
+ 'ListboxTop',0, ... |
|
2485 |
+ 'Position',[0.125 0.5013698630136987 0.1130952380952381 0.04931506849315068], ... |
|
2486 |
+ 'Style','radiobutton', ... |
|
2487 |
+ 'Tag','Radiobutton2'); |
|
2488 |
+ |
|
2489 |
+data.or_button_h = h1; |
|
2490 |
+ |
|
2491 |
+h1 = uicontrol('Parent',h0, ... |
|
2492 |
+ 'Units','normalized', ... |
|
2493 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
2494 |
+ 'FontWeight','demi', ... |
|
2495 |
+ 'FontSize',8,... |
|
2496 |
+ 'HorizontalAlignment','left', ... |
|
2497 |
+ 'ListboxTop',0, ... |
|
2498 |
+ 'Position',[0.2619047619047619 0.5561643835616439 0.3809523809523809 0.05205479452054795], ... |
|
2499 |
+ 'String','AND', ... |
|
2500 |
+ 'Style','text', ... |
|
2501 |
+ 'Tag','StaticText4'); |
|
2502 |
+ |
|
2503 |
+h1 = uicontrol('Parent',h0, ... |
|
2504 |
+ 'Units','normalized', ... |
|
2505 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
2506 |
+ 'FontWeight','demi', ... |
|
2507 |
+ 'FontSize',8,... |
|
2508 |
+ 'HorizontalAlignment','left', ... |
|
2509 |
+ 'ListboxTop',0, ... |
|
2510 |
+ 'Position',[0.2619047619047619 0.4986301369863014 0.3809523809523809 0.04657534246575343], ... |
|
2511 |
+ 'String','OR', ... |
|
2512 |
+ 'Style','text', ... |
|
2513 |
+ 'Tag','StaticText5'); |
|
2514 |
+ |
|
2515 |
+h1 = uicontrol('Parent',h0, ... |
|
2516 |
+ 'Units','normalized', ... |
|
2517 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
2518 |
+ 'ListboxTop',0, ... |
|
2519 |
+ 'Position',[0.125 0.3808219178082192 0.1130952380952381 0.04931506849315068], ... |
|
2520 |
+ 'Style','radiobutton', ... |
|
2521 |
+ 'Tag','Radiobutton3'); |
|
2522 |
+ |
|
2523 |
+data.all_button_h = h1; |
|
2524 |
+ |
|
2525 |
+h1 = uicontrol('Parent',h0, ... |
|
2526 |
+ 'Units','normalized', ... |
|
2527 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
2528 |
+ 'ListboxTop',0, ... |
|
2529 |
+ 'Position',[0.125 0.3095890410958904 0.1130952380952381 0.04931506849315068], ... |
|
2530 |
+ 'Style','radiobutton', ... |
|
2531 |
+ 'Tag','Radiobutton4'); |
|
2532 |
+ |
|
2533 |
+data.sel_vects_button_h = h1; |
|
2534 |
+ |
|
2535 |
+h1 = uicontrol('Parent',h0, ... |
|
2536 |
+ 'Units','normalized', ... |
|
2537 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
2538 |
+ 'FontWeight','demi', ... |
|
2539 |
+ 'FontSize',8,... |
|
2540 |
+ 'HorizontalAlignment','left', ... |
|
2541 |
+ 'ListboxTop',0, ... |
|
2542 |
+ 'Position',[0.2619047619047619 0.3780821917808219 0.4166666666666666 0.04931506849315068], ... |
|
2543 |
+ 'String','All vectors', ... |
|
2544 |
+ 'Style','text', ... |
|
2545 |
+ 'Tag','StaticText6'); |
|
2546 |
+ |
|
2547 |
+h1 = uicontrol('Parent',h0, ... |
|
2548 |
+ 'Units','normalized', ... |
|
2549 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
2550 |
+ 'FontWeight','demi', ... |
|
2551 |
+ 'FontSize',8,... |
|
2552 |
+ 'HorizontalAlignment','left', ... |
|
2553 |
+ 'ListboxTop',0, ... |
|
2554 |
+ 'Position',[0.2619047619047619 0.3123287671232877 0.5595238095238095 0.03835616438356165], ... |
|
2555 |
+ 'String','Among selected', ... |
|
2556 |
+ 'Style','text', ... |
|
2557 |
+ 'Tag','StaticText7'); |
|
2558 |
+ |
|
2559 |
+h1 = uicontrol('Parent',h0, ... |
|
2560 |
+ 'Units','normalized', ... |
|
2561 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
2562 |
+ 'ListboxTop',0, ... |
|
2563 |
+ 'Position',[0.0952 0.1178 0.7500 0.1068], ... |
|
2564 |
+ 'Style','frame', ... |
|
2565 |
+ 'Tag','Frame6'); |
|
2566 |
+ |
|
2567 |
+h1 = uicontrol('Parent',h0, ... |
|
2568 |
+ 'Units','normalized', ... |
|
2569 |
+ 'BackgroundColor',[1 1 1], ... |
|
2570 |
+ 'ListboxTop',0, ... |
|
2571 |
+ 'Position',[0.5298 0.1342 0.2738 0.0712], ... |
|
2572 |
+ 'Style','edit', ... |
|
2573 |
+ 'Tag','EditText4'); |
|
2574 |
+ |
|
2575 |
+data.replace_val_h = h1; |
|
2576 |
+ |
|
2577 |
+h1 = uicontrol('Parent',h0, ... |
|
2578 |
+ 'Units','normalized', ... |
|
2579 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
2580 |
+ 'FontSize',8,... |
|
2581 |
+ 'FontWeight','demi', ... |
|
2582 |
+ 'HorizontalAlignment','left', ... |
|
2583 |
+ 'ListboxTop',0, ... |
|
2584 |
+ 'Position',[0.1369047619047619 0.136986301369863 0.3214285714285714 0.06027397260273973], ... |
|
2585 |
+ 'String','Vectors', ... |
|
2586 |
+ 'Style','text', ... |
|
2587 |
+ 'Tag','StaticText8'); |
|
2588 |
+ |
|
2589 |
+h1 = uicontrol('Parent',h0, ... |
|
2590 |
+ 'Units','normalized', ... |
|
2591 |
+ 'BackgroundColor',[0.752941176470588 0.752941176470588 0.752941176470588], ... |
|
2592 |
+ 'FontWeight','demi', ... |
|
2593 |
+ 'ListboxTop',0, ... |
|
2594 |
+ 'Position',[0.05357142857142857 0.01917808219178082 0.3869047619047619 0.0684931506849315], ... |
|
2595 |
+ 'String','OK', ... |
|
2596 |
+ 'Tag','Pushbutton1'); |
|
2597 |
+ |
|
2598 |
+data.OK_button_h = h1; |
|
2599 |
+ |
|
2600 |
+h1 = uicontrol('Parent',h0, ... |
|
2601 |
+ 'Units','normalized', ... |
|
2602 |
+ 'BackgroundColor',[0.752941176470588 0.752941176470588 0.752941176470588], ... |
|
2603 |
+ 'Callback','preprocess close_s',... |
|
2604 |
+ 'FontWeight','demi', ... |
|
2605 |
+ 'ListboxTop',0, ... |
|
2606 |
+ 'Position',[0.5 0.01917808219178082 0.3869047619047619 0.0684931506849315], ... |
|
2607 |
+ 'String','Close', ... |
|
2608 |
+ 'Tag','Pushbutton2'); |
|
2609 |
+ |
|
2610 |
+ |
|
2611 |
+ |
|
2612 |
+data.state.and=1; |
|
2613 |
+data.state.all=1; |
|
2614 |
+data.state.big=[]; |
|
2615 |
+data.state.small=[]; |
|
2616 |
+data.state.equal=[]; |
|
2617 |
+data.state.replace=[]; |
|
2618 |
+ |
|
2619 |
+set(data.or_button_h,'Callback','preprocess and_or_cb or'); |
|
2620 |
+set(data.and_button_h,'Callback','preprocess and_or_cb and'); |
|
2621 |
+set(data.and_button_h,'Value',1); |
|
2622 |
+set(data.all_button_h,'Callback','preprocess all_sel_cb all'); |
|
2623 |
+set(data.sel_vects_button_h,'Callback','preprocess all_sel_cb sel'); |
|
2624 |
+set(data.big_val_h,'Callback','preprocess set_state_vals big'); |
|
2625 |
+set(data.small_val_h,'Callback','preprocess set_state_vals small'); |
|
2626 |
+set(data.equal_val_h,'Callback','preprocess set_state_vals equal'); |
|
2627 |
+set(data.replace_val_h,'Callback','preprocess set_state_vals replace'); |
|
2628 |
+set(data.OK_button_h,'Callback','preprocess clip_data sel'); |
|
2629 |
+set(h0,'UserData',data); |
|
2630 |
+ |
|
2631 |
+ |
|
2632 |
+ |
|
2633 |
+%%% Subfunction: and_or_cb %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
2634 |
+ |
|
2635 |
+function and_or_cb(arg) |
|
2636 |
+ |
|
2637 |
+%AND_OR_CB A callback function. Checks that only one of the radiobox |
|
2638 |
+% buttons 'AND' and 'OR' is pressed down. |
|
2639 |
+% |
|
2640 |
+% |
|
2641 |
+ |
|
2642 |
+and_button_h=getfield(get(gcf,'UserData'),'and_button_h'); |
|
2643 |
+or_button_h=getfield(get(gcf,'UserData'),'or_button_h'); |
|
2644 |
+data=get(gcf,'UserData'); |
|
2645 |
+ |
|
2646 |
+switch arg |
|
2647 |
+ case 'or' |
|
2648 |
+ set(and_button_h,'Value',0); |
|
2649 |
+ set(or_button_h,'Value',1); |
|
2650 |
+ data.state.and=0; |
|
2651 |
+ case 'and' |
|
2652 |
+ set(or_button_h,'Value',0); |
|
2653 |
+ set(and_button_h,'Value',1); |
|
2654 |
+ data.state.and=1; |
|
2655 |
+end |
|
2656 |
+ |
|
2657 |
+set(gcf,'UserData',data); |
|
2658 |
+ |
|
2659 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
2660 |
+ |
|
2661 |
+%%% Subfunction: all_sel_cb %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
2662 |
+ |
|
2663 |
+function all_sel_cb(arg) |
|
2664 |
+ |
|
2665 |
+all_button_h=getfield(get(gcf,'UserData'),'all_button_h'); |
|
2666 |
+sel_vects_button_h=getfield(get(gcf,'UserData'),'sel_vects_button_h'); |
|
2667 |
+data=get(gcf,'UserData'); |
|
2668 |
+ |
|
2669 |
+switch arg |
|
2670 |
+ case 'all' |
|
2671 |
+ set(sel_vects_button_h,'Value',0); |
|
2672 |
+ set(all_button_h,'Value',1); |
|
2673 |
+ data.state.all=1; |
|
2674 |
+ case 'sel' |
|
2675 |
+ set(all_button_h,'Value',0); |
|
2676 |
+ set(sel_vects_button_h,'Value',1); |
|
2677 |
+ data.state.all=0; |
|
2678 |
+end |
|
2679 |
+ |
|
2680 |
+set(gcf,'UserData',data); |
|
2681 |
+ |
|
2682 |
+%%% Subfunction: set_state_vals %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
2683 |
+ |
|
2684 |
+function set_state_vals(arg) |
|
2685 |
+ |
|
2686 |
+%SET_STATE_VALS sets the values to the UserData's state-struct. |
|
2687 |
+% |
|
2688 |
+% |
|
2689 |
+ |
|
2690 |
+ |
|
2691 |
+data=get(gcf,'UserData'); |
|
2692 |
+ |
|
2693 |
+switch arg |
|
2694 |
+ case 'big' |
|
2695 |
+ big_val_h=getfield(get(gcf,'UserData'),'big_val_h'); |
|
2696 |
+ val =str2num(get(big_val_h,'String')); |
|
2697 |
+ dims=size(val); |
|
2698 |
+ if dims(1) ~= 1 | dims(2) ~= 1 |
|
2699 |
+ errordlg('Argument of the operation must be scalar.'); |
|
2700 |
+ set(big_val_h,'String',''); |
|
2701 |
+ return; |
|
2702 |
+ end |
|
2703 |
+ if isreal(val) |
|
2704 |
+ data.state.big=val; |
|
2705 |
+ else |
|
2706 |
+ errordlg('Limits of the operation must be real.'); |
|
2707 |
+ set(big_val_h,'String',''); |
|
2708 |
+ return; |
|
2709 |
+ end |
|
2710 |
+ case 'small' |
|
2711 |
+ small_val_h=getfield(get(gcf,'UserData'),'small_val_h'); |
|
2712 |
+ val=str2num(get(small_val_h,'String')); |
|
2713 |
+ dims=size(val); |
|
2714 |
+ if dims(1) ~= 1 | dims(2) ~= 1 |
|
2715 |
+ errordlg('Argument of the operation must be scalar.') |
|
2716 |
+ set(small_val_h,'String',''); |
|
2717 |
+ return; |
|
2718 |
+ end |
|
2719 |
+ if isreal(val) |
|
2720 |
+ data.state.small=val; |
|
2721 |
+ else |
|
2722 |
+ errordlg('Limits of the operation must be real.'); |
|
2723 |
+ set(small_val_h,'String',''); |
|
2724 |
+ return; |
|
2725 |
+ end |
|
2726 |
+ case 'equal' |
|
2727 |
+ equal_val_h=getfield(get(gcf,'UserData'),'equal_val_h'); |
|
2728 |
+ val = str2num(get(equal_val_h,'String')); |
|
2729 |
+ dims=size(val); |
|
2730 |
+ if dims(1) ~= 1 | dims(2) ~= 1 |
|
2731 |
+ errordlg('Argument of the operation must be scalar.'); |
|
2732 |
+ set(equal_val_h,'String',''); |
|
2733 |
+ return; |
|
2734 |
+ end |
|
2735 |
+ if isreal(val) |
|
2736 |
+ data.state.equal=val; |
|
2737 |
+ else |
|
2738 |
+ errordlg('Limits of the operation must be real.'); |
|
2739 |
+ set(equal_val_h,'String',''); |
|
2740 |
+ return; |
|
2741 |
+ end |
|
2742 |
+ case 'replace' |
|
2743 |
+ replace_val_h=getfield(get(gcf,'UserData'),'replace_val_h'); |
|
2744 |
+ val=str2num(get(replace_val_h,'String')); |
|
2745 |
+ dims=size(val); |
|
2746 |
+ if (dims(1) ~= 1 | dims(2) ~= 1) & ~strcmp(get(gcf,'Tag'),'Select') |
|
2747 |
+ errordlg('Argument of the operation must be scalar.'); |
|
2748 |
+ set(replace_val_h,'String',''); |
|
2749 |
+ return; |
|
2750 |
+ end |
|
2751 |
+ if isreal(val) |
|
2752 |
+ data.state.replace=val; |
|
2753 |
+ else |
|
2754 |
+ errordlg('Limits of the operation must be real.'); |
|
2755 |
+ set(replace_val_h,'String',''); |
|
2756 |
+ return; |
|
2757 |
+ end |
|
2758 |
+end |
|
2759 |
+ |
|
2760 |
+set(gcf,'UserData',data); |
|
2761 |
+ |
|
2762 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
2763 |
+ |
|
2764 |
+%%% Subfunction: clip_data %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
2765 |
+ |
|
2766 |
+function clip_data(arg) |
|
2767 |
+ |
|
2768 |
+%CLIP_DATA A callback function. Filters the data. |
|
2769 |
+% |
|
2770 |
+% |
|
2771 |
+ |
|
2772 |
+i=1; |
|
2773 |
+while i <= length(arg) & arg(i) ~= ' ' |
|
2774 |
+ i=i+1; |
|
2775 |
+end |
|
2776 |
+ |
|
2777 |
+arg2=arg(i+1:length(arg)); |
|
2778 |
+arg=arg(1:i-1); |
|
2779 |
+ |
|
2780 |
+if ~isempty(arg2) |
|
2781 |
+ LOG=1; |
|
2782 |
+ if strcmp(arg,'sel') |
|
2783 |
+ c_h=findobj(get(0,'Children'),'Tag','Select'); |
|
2784 |
+ else |
|
2785 |
+ c_h=findobj(get(0,'Children'),'Tag','Clipping'); |
|
2786 |
+ end |
|
2787 |
+ set(0,'CurrentFigure',c_h); |
|
2788 |
+ i=1; |
|
2789 |
+ while i <= length(arg2) & arg2(i) ~= ' ' |
|
2790 |
+ i=i+1; |
|
2791 |
+ end |
|
2792 |
+ BT=str2num(arg2(1:i-1)); |
|
2793 |
+ i=i+1; |
|
2794 |
+ j=i; |
|
2795 |
+ while i <= length(arg2) & arg2(i) ~= ' ' |
|
2796 |
+ i=i+1; |
|
2797 |
+ end |
|
2798 |
+ ST=str2num(arg2(j:i-1)); |
|
2799 |
+ i=i+1; |
|
2800 |
+ j=i; |
|
2801 |
+ while i <= length(arg2) & arg2(i) ~= ' ' |
|
2802 |
+ i=i+1; |
|
2803 |
+ end |
|
2804 |
+ EQ=str2num(arg2(j:i-1)); |
|
2805 |
+ i=i+1; |
|
2806 |
+ j=i; |
|
2807 |
+ while i <= length(arg2) & arg2(i) ~= ' ' |
|
2808 |
+ i=i+1; |
|
2809 |
+ end |
|
2810 |
+ AND_OR=str2num(arg2(j:i-1)); |
|
2811 |
+ i=i+1; |
|
2812 |
+ j=i; |
|
2813 |
+ while i <= length(arg2) & arg2(i) ~= ' ' |
|
2814 |
+ i=i+1; |
|
2815 |
+ end |
|
2816 |
+ ALL_AMONG=str2num(arg2(j:i-1)); |
|
2817 |
+ i=i+1; |
|
2818 |
+ j=i; |
|
2819 |
+ while i <= length(arg2) |
|
2820 |
+ i=i+1; |
|
2821 |
+ end |
|
2822 |
+ VECT_REPL=str2num(arg2(j:i-1)); |
|
2823 |
+else |
|
2824 |
+ LOG=0; |
|
2825 |
+end |
|
2826 |
+ |
|
2827 |
+if ~LOG |
|
2828 |
+ big_val_h=getfield(get(gcf,'UserData'),'big_val_h'); |
|
2829 |
+ small_val_h=getfield(get(gcf,'UserData'),'small_val_h'); |
|
2830 |
+ equal_val_h=getfield(get(gcf,'UserData'),'equal_val_h'); |
|
2831 |
+ replace_val_h=getfield(get(gcf,'UserData'),'replace_val_h'); |
|
2832 |
+end |
|
2833 |
+ |
|
2834 |
+pre_h=findobj(get(0,'Children'),'Tag','Preprocess'); |
|
2835 |
+ |
|
2836 |
+if isempty(pre_h) |
|
2837 |
+ errordlg('''Preprocess'' -figure does not exist. Terminating program...'); |
|
2838 |
+ pro_tools('close'); |
|
2839 |
+ return; |
|
2840 |
+end |
|
2841 |
+ |
|
2842 |
+comp_names_h=getfield(get(pre_h,'UserData'),'comp_names_h'); |
|
2843 |
+selected=getfield(get(pre_h,'UserData'),'selected_vects'); |
|
2844 |
+sData=getfield(get(pre_h,'UserData'),'sData'); |
|
2845 |
+undo = sData; |
|
2846 |
+state=getfield(get(gcf,'UserData'),'state'); |
|
2847 |
+ |
|
2848 |
+if LOG |
|
2849 |
+ state.big=BT; |
|
2850 |
+ state.small=ST; |
|
2851 |
+ state.equal=EQ; |
|
2852 |
+ state.replace=VECT_REPL; |
|
2853 |
+ state.and=AND_OR; |
|
2854 |
+ state.all=ALL_AMONG; |
|
2855 |
+end |
|
2856 |
+ |
|
2857 |
+if isempty(pre_h) |
|
2858 |
+ pro_tools('close'); |
|
2859 |
+end |
|
2860 |
+ |
|
2861 |
+if isempty(get(comp_names_h,'Value')) |
|
2862 |
+ clear_state_vals; |
|
2863 |
+ errordlg('There must be one component chosen for the operation.'); |
|
2864 |
+ return; |
|
2865 |
+end |
|
2866 |
+ |
|
2867 |
+n_th_comp=getfield(get_indices,{1}); |
|
2868 |
+ |
|
2869 |
+if isempty(state.big) & isempty(state.small) & isempty(state.equal) & ... |
|
2870 |
+ strcmp(arg,'clip') |
|
2871 |
+ clear_state_vals; |
|
2872 |
+ errordlg('At least one limit must be chosen for the-operation.'); |
|
2873 |
+ return; |
|
2874 |
+end |
|
2875 |
+ |
|
2876 |
+if ~isempty(state.replace) & strcmp(arg,'sel') |
|
2877 |
+ if ~all(state.replace == round(state.replace)) | any(state.replace < 1) |
|
2878 |
+ errordlg('Indices of vectors must be positive integers.'); |
|
2879 |
+ return; |
|
2880 |
+ elseif any(state.replace > length(sData.data(:,1))) |
|
2881 |
+ errordlg('Indices of the vectors to be selected are too big.'); |
|
2882 |
+ return; |
|
2883 |
+ end |
|
2884 |
+end |
|
2885 |
+ |
|
2886 |
+if isempty(state.replace) & strcmp(arg,'clip') |
|
2887 |
+ clear_state_vals; |
|
2888 |
+ errordlg('Replace value must be determined for Clipping-operation.'); |
|
2889 |
+ return; |
|
2890 |
+end |
|
2891 |
+ |
|
2892 |
+if isempty(state.big) & isempty(state.small) & isempty(state.equal) & ... |
|
2893 |
+ isempty(state.replace) |
|
2894 |
+ clear_state_vals; |
|
2895 |
+ return; |
|
2896 |
+end |
|
2897 |
+ |
|
2898 |
+bt_indices=[]; |
|
2899 |
+lt_indices=[]; |
|
2900 |
+equal_indices=[]; |
|
2901 |
+ |
|
2902 |
+ |
|
2903 |
+if ~isempty(state.big) |
|
2904 |
+ if state.all |
|
2905 |
+ bt_indices=find(sData.data(:,n_th_comp) > state.big); |
|
2906 |
+ else |
|
2907 |
+ bt_indices=selected(find(sData.data(selected,n_th_comp) > state.big)); |
|
2908 |
+ end |
|
2909 |
+end |
|
2910 |
+ |
|
2911 |
+if ~isempty(state.small) |
|
2912 |
+ if state.all |
|
2913 |
+ lt_indices=find(sData.data(:,n_th_comp) < state.small); |
|
2914 |
+ else |
|
2915 |
+ lt_indices=selected(find(sData.data(selected,n_th_comp) < state.small)); |
|
2916 |
+ end |
|
2917 |
+end |
|
2918 |
+ |
|
2919 |
+if ~isempty(state.equal) |
|
2920 |
+ if isnan(state.equal) |
|
2921 |
+ if state.all |
|
2922 |
+ equal_indices=find(isnan(sData.data(:,n_th_comp))); |
|
2923 |
+ else |
|
2924 |
+ equal_indices=selected(find(isnan(sData.data(selected,n_th_comp)))); |
|
2925 |
+ end |
|
2926 |
+ elseif state.all |
|
2927 |
+ equal_indices=find(sData.data(:,n_th_comp)==state.equal); |
|
2928 |
+ else |
|
2929 |
+ equal_indices=selected(find(sData.data(selected,n_th_comp)==state.equal)); |
|
2930 |
+ end |
|
2931 |
+end |
|
2932 |
+ |
|
2933 |
+if state.and |
|
2934 |
+ |
|
2935 |
+ if ~isempty(bt_indices) | ~isempty(lt_indices) | ~isempty(equal_indices)... |
|
2936 |
+ | strcmp(arg,'sel') |
|
2937 |
+ |
|
2938 |
+ if isempty(bt_indices) & isempty(lt_indices) & isempty(equal_indices) &... |
|
2939 |
+ isempty(state.replace) |
|
2940 |
+ clear_state_vals; |
|
2941 |
+ return; |
|
2942 |
+ end |
|
2943 |
+ if isempty(bt_indices) |
|
2944 |
+ if ~state.all |
|
2945 |
+ bt_indices=selected; |
|
2946 |
+ else |
|
2947 |
+ bt_indices=1:getfield(size(sData.data),{1}); |
|
2948 |
+ end |
|
2949 |
+ end |
|
2950 |
+ if isempty(lt_indices) |
|
2951 |
+ if ~state.all |
|
2952 |
+ lt_indices=selected; |
|
2953 |
+ else |
|
2954 |
+ lt_indices=1:getfield(size(sData.data),{1}); |
|
2955 |
+ end |
|
2956 |
+ end |
|
2957 |
+ if isempty(equal_indices) |
|
2958 |
+ if ~state.all |
|
2959 |
+ equal_indices=selected; |
|
2960 |
+ else |
|
2961 |
+ equal_indices=1:getfield(size(sData.data),{1}); |
|
2962 |
+ end |
|
2963 |
+ end |
|
2964 |
+ |
|
2965 |
+ indices=intersect(intersect(bt_indices,lt_indices),equal_indices); |
|
2966 |
+ if strcmp(arg,'sel') |
|
2967 |
+ if ~isempty(indices) | ~isempty(state.replace) |
|
2968 |
+ if isempty(state.replace) |
|
2969 |
+ NOTEMPTY=0; |
|
2970 |
+ if ~state.all |
|
2971 |
+ state.replace=selected; |
|
2972 |
+ else |
|
2973 |
+ state.replace=1:getfield(size(sData.data),{1}); |
|
2974 |
+ end |
|
2975 |
+ else |
|
2976 |
+ NOTEMPTY=1; |
|
2977 |
+ end |
|
2978 |
+ if isempty(indices) |
|
2979 |
+ indices=selected; |
|
2980 |
+ end |
|
2981 |
+ indices=intersect(indices,state.replace); |
|
2982 |
+ if isempty(indices) |
|
2983 |
+ indices=selected; |
|
2984 |
+ end |
|
2985 |
+ data=get(pre_h,'UserData'); |
|
2986 |
+ data.undo.sData=sData; |
|
2987 |
+ data.undo.selected=data.selected_vects; |
|
2988 |
+ data.selected_vects=indices; |
|
2989 |
+ if ~LOG |
|
2990 |
+ if ~NOTEMPTY |
|
2991 |
+ data.LOG{length(data.LOG)+1}='% Select vectors.'; |
|
2992 |
+ data.LOG{length(data.LOG)+1}=cat(2,'preprocess(''clip_data'',''',... |
|
2993 |
+ arg,... |
|
2994 |
+ ' ',num2str(state.big),... |
|
2995 |
+ ' ',num2str(state.small),... |
|
2996 |
+ ' ',num2str(state.equal),... |
|
2997 |
+ ' ',num2str(state.and),... |
|
2998 |
+ ' ',num2str(state.all),... |
|
2999 |
+ ''');'); |
|
3000 |
+ else |
|
3001 |
+ code=write_log_code(state.replace,... |
|
3002 |
+ arg,... |
|
3003 |
+ state.big,... |
|
3004 |
+ state.small,... |
|
3005 |
+ state.equal,... |
|
3006 |
+ state.and,... |
|
3007 |
+ state.all); |
|
3008 |
+ data.LOG(length(data.LOG)+1:length(data.LOG)+length(code))=code; |
|
3009 |
+ end |
|
3010 |
+ end |
|
3011 |
+ set(pre_h,'UserData',data); |
|
3012 |
+ old=gcf; |
|
3013 |
+ set(0,'CurrentFigure',pre_h); |
|
3014 |
+ sel_comp; |
|
3015 |
+ cplot_mimema; |
|
3016 |
+ vect_means(data.sData,data.vect_mean_h,data.selected_vects); |
|
3017 |
+ set(0,'CurrentFigure',old); |
|
3018 |
+ end |
|
3019 |
+ clear_state_vals; |
|
3020 |
+ return; |
|
3021 |
+ end |
|
3022 |
+ sData.data(indices,n_th_comp) = state.replace; |
|
3023 |
+ sData.MODIFIED=1; |
|
3024 |
+ end |
|
3025 |
+else |
|
3026 |
+ indices=union(union(bt_indices,lt_indices),equal_indices); |
|
3027 |
+ if ~isempty(indices) | strcmp(arg,'sel') |
|
3028 |
+ if strcmp(arg,'sel') |
|
3029 |
+ if ~isempty(indices) | ~isempty(state.replace') |
|
3030 |
+ data=get(pre_h,'UserData'); |
|
3031 |
+ data.undo.sData=sData; |
|
3032 |
+ data.undo.selected=data.selected_vects; |
|
3033 |
+ data.selected_vects=union(indices,state.replace); |
|
3034 |
+ if ~LOG |
|
3035 |
+ if isempty(state.replace); |
|
3036 |
+ data.LOG{length(data.LOG)+1}=cat(2,'preprocess(''clip_data'',''',... |
|
3037 |
+ arg,... |
|
3038 |
+ ' ',num2str(state.big),... |
|
3039 |
+ ' ',num2str(state.small),... |
|
3040 |
+ ' ',num2str(state.equal),... |
|
3041 |
+ ' ',num2str(state.and),... |
|
3042 |
+ ' ',num2str(state.all),... |
|
3043 |
+ ''');'); |
|
3044 |
+ else |
|
3045 |
+ code=write_log_code(state.replace,... |
|
3046 |
+ arg,... |
|
3047 |
+ state.big,... |
|
3048 |
+ state.small,... |
|
3049 |
+ state.equal,... |
|
3050 |
+ state.and,... |
|
3051 |
+ state.all); |
|
3052 |
+ data.LOG(length(data.LOG)+1:length(data.LOG)+length(code))=code; |
|
3053 |
+ end |
|
3054 |
+ end |
|
3055 |
+ set(pre_h,'UserData',data); |
|
3056 |
+ old=gcf; |
|
3057 |
+ set(0,'CurrentFigure',pre_h); |
|
3058 |
+ sel_comp; |
|
3059 |
+ vect_means(data.sData,data.vect_mean_h,data.selected_vects); |
|
3060 |
+ cplot_mimema; |
|
3061 |
+ set(0,'CurrentFigure',old); |
|
3062 |
+ end |
|
3063 |
+ clear_state_vals; |
|
3064 |
+ return; |
|
3065 |
+ end |
|
3066 |
+ sData.data(indices,n_th_comp)=state.replace; |
|
3067 |
+ sData.MODIFIED=1; |
|
3068 |
+ end |
|
3069 |
+end |
|
3070 |
+ |
|
3071 |
+if sData.MODIFIED |
|
3072 |
+ data=get(pre_h,'UserData'); |
|
3073 |
+ data.sData=sData; |
|
3074 |
+ data.undo.sData=undo; |
|
3075 |
+ if ~LOG |
|
3076 |
+ if strcmp(arg,'sel') |
|
3077 |
+ data.LOG{length(data.LOG)+1}='% Select vectors'; |
|
3078 |
+ else |
|
3079 |
+ data.LOG{length(data.LOG)+1}='% Clip values.'; |
|
3080 |
+ end |
|
3081 |
+ if strcmp(arg,'clip') | isempty(state.replace) |
|
3082 |
+ data.LOG{length(data.LOG)+1}=cat(2,'preprocess(''clip_data'',''',arg,... |
|
3083 |
+ ' ',num2str(state.big),... |
|
3084 |
+ ' ',num2str(state.small),... |
|
3085 |
+ ' ',num2str(state.equal),... |
|
3086 |
+ ' ',num2str(state.and),... |
|
3087 |
+ ' ',num2str(state.all),... |
|
3088 |
+ ' ',num2str(state.replace),... |
|
3089 |
+ ''');'); |
|
3090 |
+ else |
|
3091 |
+ code=write_log_code(state.replace,... |
|
3092 |
+ arg,... |
|
3093 |
+ state.big,... |
|
3094 |
+ state.small,... |
|
3095 |
+ state.equal,... |
|
3096 |
+ state.and,... |
|
3097 |
+ state.all); |
|
3098 |
+ data.LOG(length(data.LOG)+1:length(data.LOG)+length(code))=code; |
|
3099 |
+ end |
|
3100 |
+ end |
|
3101 |
+ set(pre_h,'UserData',data); |
|
3102 |
+ old=gcf; |
|
3103 |
+ set(0,'CurrentFigure',pre_h) |
|
3104 |
+ |
|
3105 |
+ vector_h=getfield(get(gcf,'UserData'),'vector_h'); |
|
3106 |
+ vect_mean_h=getfield(get(gcf,'UserData'),'vect_mean_h'); |
|
3107 |
+ set(gcf,'CurrentAxes',vector_h); |
|
3108 |
+ vect_means(sData,vect_mean_h,selected); |
|
3109 |
+ cplot_mimema; |
|
3110 |
+ sel_comp; |
|
3111 |
+ |
|
3112 |
+ set(0,'CurrentFigure',old); |
|
3113 |
+end |
|
3114 |
+ |
|
3115 |
+clear_state_vals; |
|
3116 |
+ |
|
3117 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
3118 |
+ |
|
3119 |
+%%% Subfunction: clear_state_vals %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
3120 |
+ |
|
3121 |
+function clear_state_vals |
|
3122 |
+ |
|
3123 |
+%CLEAR_STATE_VALS Sets the fields of the UserData's state-struct empty. |
|
3124 |
+% |
|
3125 |
+% |
|
3126 |
+ |
|
3127 |
+ |
|
3128 |
+data=get(gcf,'UserData'); |
|
3129 |
+set(data.big_val_h,'String',''); |
|
3130 |
+set(data.small_val_h,'String',''); |
|
3131 |
+set(data.equal_val_h,'String',''); |
|
3132 |
+set(data.replace_val_h,'String',''); |
|
3133 |
+data.state.big=[]; |
|
3134 |
+data.state.small=[]; |
|
3135 |
+data.state.equal=[]; |
|
3136 |
+data.state.replace=[]; |
|
3137 |
+set(gcf,'UserData',data); |
|
3138 |
+ |
|
3139 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
3140 |
+ |
|
3141 |
+function delay(varargin) |
|
3142 |
+ |
|
3143 |
+delay_h=findobj(get(0,'Children'),'Tag','Delay'); |
|
3144 |
+ |
|
3145 |
+if nargin ~= 1 |
|
3146 |
+ pre_h=findobj(get(0,'Children'),'Tag','Preprocess'); |
|
3147 |
+ preh_udata=get(pre_h,'UserData'); |
|
3148 |
+ preh_udata.LOG{length(preh_udata.LOG)+1}=... |
|
3149 |
+ '% Starting the ''Delay'' -window...'; |
|
3150 |
+ preh_udata.LOG{length(preh_udata.LOG)+1}='preprocess(''delay'',''foo'');'; |
|
3151 |
+ set(pre_h,'UserData',preh_udata); |
|
3152 |
+end |
|
3153 |
+ |
|
3154 |
+if ~isempty(delay_h) |
|
3155 |
+ figure(delay_h); |
|
3156 |
+ return; |
|
3157 |
+end |
|
3158 |
+ |
|
3159 |
+h0 = figure('Color',[0.8 0.8 0.8], ... |
|
3160 |
+ 'PaperPosition',[18 180 576 432], ... |
|
3161 |
+ 'PaperUnits','points', ... |
|
3162 |
+ 'Position',[759 664 162 215], ... |
|
3163 |
+ 'Tag','Delay'); |
|
3164 |
+ |
|
3165 |
+h1 = uicontrol('Parent',h0, ... |
|
3166 |
+ 'Units','normalized', ... |
|
3167 |
+ 'BackgroundColor',[0.752941176470588 0.752941176470588 0.752941176470588], ... |
|
3168 |
+ 'ListboxTop',0, ... |
|
3169 |
+ 'Position',[0.05555555555555555 0.2046511627906977 0.8950617283950617 0.7441860465116279], ... |
|
3170 |
+ 'Style','frame', ... |
|
3171 |
+ 'Tag','Frame1'); |
|
3172 |
+ |
|
3173 |
+h1 = uicontrol('Parent',h0, ... |
|
3174 |
+ 'Units','normalized', ... |
|
3175 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
3176 |
+ 'ListboxTop',0, ... |
|
3177 |
+ 'Position',[0.08641975308641975 0.6976744186046512 0.8333333333333333 0.2232558139534884], ... |
|
3178 |
+ 'Style','frame', ... |
|
3179 |
+ 'Tag','Frame2'); |
|
3180 |
+ |
|
3181 |
+h1 = uicontrol('Parent',h0, ... |
|
3182 |
+ 'Units','normalized', ... |
|
3183 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
3184 |
+ 'ListboxTop',0, ... |
|
3185 |
+ 'Position',[0.08641975308641975 0.227906976744186 0.8333333333333333 0.4418604651162791], ... |
|
3186 |
+ 'Style','frame', ... |
|
3187 |
+ 'Tag','Frame3'); |
|
3188 |
+ |
|
3189 |
+h1 = uicontrol('Parent',h0, ... |
|
3190 |
+ 'Units','normalized', ... |
|
3191 |
+ 'Callback','preprocess delay_data',... |
|
3192 |
+ 'FontWeight','demi', ... |
|
3193 |
+ 'ListboxTop',0, ... |
|
3194 |
+ 'Position',[0.0556 0.0326 0.4012 0.1163], ... |
|
3195 |
+ 'String','OK', ... |
|
3196 |
+ 'Tag','Pushbutton1'); |
|
3197 |
+ |
|
3198 |
+h1 = uicontrol('Parent',h0, ... |
|
3199 |
+ 'Units','normalized', ... |
|
3200 |
+ 'Callback','preprocess close_d',... |
|
3201 |
+ 'FontWeight','demi', ... |
|
3202 |
+ 'ListboxTop',0, ... |
|
3203 |
+ 'Position',[0.5494 0.0326 0.4012 0.1163], ... |
|
3204 |
+ 'String','Close', ... |
|
3205 |
+ 'Tag','Pushbutton2'); |
|
3206 |
+ |
|
3207 |
+h1 = uicontrol('Parent',h0, ... |
|
3208 |
+ 'Units','normalized', ... |
|
3209 |
+ 'BackgroundColor',[1 1 1], ... |
|
3210 |
+ 'ListboxTop',0, ... |
|
3211 |
+ 'Position',[0.4876543209876543 0.7534883720930232 0.3518518518518519 0.1255813953488372], ... |
|
3212 |
+ 'Style','edit', ... |
|
3213 |
+ 'Tag','EditText1'); |
|
3214 |
+ |
|
3215 |
+data.delay_val_h = h1; |
|
3216 |
+ |
|
3217 |
+h1 = uicontrol('Parent',h0, ... |
|
3218 |
+ 'Units','normalized', ... |
|
3219 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
3220 |
+ 'FontWeight','demi', ... |
|
3221 |
+ 'HorizontalAlignment','left', ... |
|
3222 |
+ 'ListboxTop',0, ... |
|
3223 |
+ 'Position',[0.1173 0.7860 0.3086 0.0651], ... |
|
3224 |
+ 'String','Delay', ... |
|
3225 |
+ 'Style','text', ... |
|
3226 |
+ 'Tag','StaticText1'); |
|
3227 |
+ |
|
3228 |
+h1 = uicontrol('Parent',h0, ... |
|
3229 |
+ 'Units','normalized', ... |
|
3230 |
+ 'Callback','preprocess clip_exp_cb c_this',... |
|
3231 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
3232 |
+ 'ListboxTop',0, ... |
|
3233 |
+ 'Position',[0.1173 0.5349 0.1173 0.0837], ... |
|
3234 |
+ 'Style','radiobutton', ... |
|
3235 |
+ 'Tag','Radiobutton1'); |
|
3236 |
+ |
|
3237 |
+data.c_this_button_h=h1; |
|
3238 |
+data.mode='c_this'; |
|
3239 |
+ |
|
3240 |
+h1 = uicontrol('Parent',h0, ... |
|
3241 |
+ 'Units','normalized', ... |
|
3242 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
3243 |
+ 'Callback','preprocess clip_exp_cb c_all',... |
|
3244 |
+ 'ListboxTop',0, ... |
|
3245 |
+ 'Position',[0.1173 0.4047 0.1173 0.0837], ... |
|
3246 |
+ 'Style','radiobutton', ... |
|
3247 |
+ 'Tag','Radiobutton2'); |
|
3248 |
+ |
|
3249 |
+data.c_all_button_h=h1; |
|
3250 |
+ |
|
3251 |
+h1 = uicontrol('Parent',h0, ... |
|
3252 |
+ 'Units','normalized', ... |
|
3253 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
3254 |
+ 'Callback','preprocess clip_exp_cb e_all',... |
|
3255 |
+ 'ListboxTop',0, ... |
|
3256 |
+ 'Position',[0.1173 0.2651 0.1173 0.0837], ... |
|
3257 |
+ 'Style','radiobutton', ... |
|
3258 |
+ 'Tag','Radiobutton3'); |
|
3259 |
+ |
|
3260 |
+data.e_all_button_h=h1; |
|
3261 |
+ |
|
3262 |
+ |
|
3263 |
+h1 = uicontrol('Parent',h0, ... |
|
3264 |
+ 'Units','normalized', ... |
|
3265 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
3266 |
+ 'FontWeight','demi', ... |
|
3267 |
+ 'FontSize',8,... |
|
3268 |
+ 'HorizontalAlignment','left', ... |
|
3269 |
+ 'ListboxTop',0, ... |
|
3270 |
+ 'Position',[0.26 0.5534883720930233 0.4135802469135802 0.06511627906976744], ... |
|
3271 |
+ 'String','Clip this', ... |
|
3272 |
+ 'Style','text', ... |
|
3273 |
+ 'Tag','StaticText2'); |
|
3274 |
+h1 = uicontrol('Parent',h0, ... |
|
3275 |
+ 'Units','normalized', ... |
|
3276 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
3277 |
+ 'FontWeight','demi', ... |
|
3278 |
+ 'FontSize',8,... |
|
3279 |
+ 'HorizontalAlignment','left', ... |
|
3280 |
+ 'ListboxTop',0, ... |
|
3281 |
+ 'Position',[0.26 0.413953488372093 0.3765432098765432 0.06511627906976744], ... |
|
3282 |
+ 'String','Clip all', ... |
|
3283 |
+ 'Style','text', ... |
|
3284 |
+ 'Tag','StaticText3'); |
|
3285 |
+h1 = uicontrol('Parent',h0, ... |
|
3286 |
+ 'Units','normalized', ... |
|
3287 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
3288 |
+ 'FontWeight','demi', ... |
|
3289 |
+ 'FontSize',8,... |
|
3290 |
+ 'HorizontalAlignment','left', ... |
|
3291 |
+ 'ListboxTop',0, ... |
|
3292 |
+ 'Position',[0.26 0.2744186046511628 0.4197530864197531 0.06511627906976744], ... |
|
3293 |
+ 'String','Expand all', ... |
|
3294 |
+ 'Style','text', ... |
|
3295 |
+ 'Tag','StaticText4'); |
|
3296 |
+ |
|
3297 |
+ |
|
3298 |
+set(gcf,'UserData',data); |
|
3299 |
+ |
|
3300 |
+%%% Subfunction clip_exp_cb %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
3301 |
+ |
|
3302 |
+function clip_exp_cb(arg) |
|
3303 |
+ |
|
3304 |
+c_this_button_h=getfield(get(gcf,'UserData'),'c_this_button_h'); |
|
3305 |
+c_all_button_h=getfield(get(gcf,'UserData'),'c_all_button_h'); |
|
3306 |
+e_all_button_h=getfield(get(gcf,'UserData'),'e_all_button_h'); |
|
3307 |
+data=get(gcf,'UserData'); |
|
3308 |
+ |
|
3309 |
+ |
|
3310 |
+switch arg |
|
3311 |
+ case 'c_this' |
|
3312 |
+ set(c_all_button_h,'Value',0); |
|
3313 |
+ set(e_all_button_h,'Value',0); |
|
3314 |
+ set(c_this_button_h,'Value',1); |
|
3315 |
+ data.mode='c_this'; |
|
3316 |
+ case 'c_all' |
|
3317 |
+ set(c_this_button_h,'Value',0); |
|
3318 |
+ set(e_all_button_h,'Value',0); |
|
3319 |
+ set(c_all_button_h,'Value',1); |
|
3320 |
+ data.mode='c_all'; |
|
3321 |
+ case 'e_all' |
|
3322 |
+ set(c_this_button_h,'Value',0); |
|
3323 |
+ set(c_all_button_h,'Value',0); |
|
3324 |
+ set(e_all_button_h,'Value',1); |
|
3325 |
+ data.mode='e_all'; |
|
3326 |
+end |
|
3327 |
+ |
|
3328 |
+set(gcf,'UserData',data); |
|
3329 |
+ |
|
3330 |
+%%% Subfunction: delay_data %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
3331 |
+ |
|
3332 |
+function delay_data(varargin) |
|
3333 |
+ |
|
3334 |
+if nargin == 1 |
|
3335 |
+ del_h=findobj(get(0,'Children'),'Tag','Delay'); |
|
3336 |
+ set(0,'CurrentFigure',del_h); |
|
3337 |
+ LOG=1; |
|
3338 |
+ arg=varargin{1}; |
|
3339 |
+ i=1; |
|
3340 |
+ while i <= length(arg) & arg(i) ~= ' ' |
|
3341 |
+ i=i+1; |
|
3342 |
+ end |
|
3343 |
+ delay=str2num(arg(1:i-1)); |
|
3344 |
+ no=str2num(arg(i+1:length(arg))); |
|
3345 |
+else |
|
3346 |
+ LOG=0; |
|
3347 |
+end |
|
3348 |
+ |
|
3349 |
+pre_h=findobj(get(0,'Children'),'Tag','Preprocess'); |
|
3350 |
+q='Delay operation is not evaluated.'; |
|
3351 |
+t='Warning'; |
|
3352 |
+if isempty(pre_h) |
|
3353 |
+ errordlg('''Preprocess'' -figure does not exist. Terminating program...'); |
|
3354 |
+ pro_tools('close'); |
|
3355 |
+ return; |
|
3356 |
+end |
|
3357 |
+ |
|
3358 |
+sData=getfield(get(pre_h,'UserData'),'sData'); |
|
3359 |
+undo = sData; |
|
3360 |
+data=get(gcf,'UserData'); |
|
3361 |
+if ~LOG |
|
3362 |
+ delay=str2num(get(data.delay_val_h,'String')); |
|
3363 |
+ if isempty(delay) |
|
3364 |
+ errordlg('Value of ''Delay'' must be defined.'); |
|
3365 |
+ return |
|
3366 |
+ end |
|
3367 |
+ set(data.delay_val_h,'String',''); |
|
3368 |
+ if round(delay) ~= delay |
|
3369 |
+ errordlg('Value of ''Delay'' must be integer.'); |
|
3370 |
+ return; |
|
3371 |
+ end |
|
3372 |
+end |
|
3373 |
+comp_names_h=getfield(get(pre_h,'UserData'),'comp_names_h'); |
|
3374 |
+if isempty(get(comp_names_h,'Value')) |
|
3375 |
+ errordlg('There are not components chosen.'); |
|
3376 |
+ return; |
|
3377 |
+end |
|
3378 |
+n_th_comp=getfield(get_indices,{1}); |
|
3379 |
+len=length(sData.data(:,1)); |
|
3380 |
+ |
|
3381 |
+if LOG |
|
3382 |
+ switch no |
|
3383 |
+ case 1 |
|
3384 |
+ data.mode='c_this'; |
|
3385 |
+ preprocess('clip_exp_cb','c_this'); |
|
3386 |
+ case 2 |
|
3387 |
+ data.mode='c_all'; |
|
3388 |
+ preprocess('clip_exp_cb','c_all'); |
|
3389 |
+ case 3 |
|
3390 |
+ data.mode='e_all'; |
|
3391 |
+ preprocess('clip_exp_cb','e_all'); |
|
3392 |
+ end |
|
3393 |
+end |
|
3394 |
+ |
|
3395 |
+switch data.mode |
|
3396 |
+ case 'c_this' |
|
3397 |
+ MODE='1'; |
|
3398 |
+ if delay > 0 |
|
3399 |
+ sData.data(delay+1:len,n_th_comp)=sData.data(1:len-delay); |
|
3400 |
+ if delay >= len |
|
3401 |
+ errordlg(q,t); |
|
3402 |
+ return; |
|
3403 |
+ else |
|
3404 |
+ sData.data(1:delay,n_th_comp)=NaN; |
|
3405 |
+ end |
|
3406 |
+ elseif delay < 0 |
|
3407 |
+ sData.data(1:len+delay,n_th_comp)=... |
|
3408 |
+ sData.data(abs(delay)+1:len,n_th_comp); |
|
3409 |
+ if abs(delay) >= len |
|
3410 |
+ errordlg(q,t); |
|
3411 |
+ return; |
|
3412 |
+ else |
|
3413 |
+ sData.data(len+delay+1:len,n_th_comp)=NaN; |
|
3414 |
+ end |
|
3415 |
+ end |
|
3416 |
+ if delay ~= 0 |
|
3417 |
+ data=get(pre_h,'UserData'); |
|
3418 |
+ sData.MODIFIED=1; |
|
3419 |
+ sData.comp_norm(n_th_comp)=[]; |
|
3420 |
+ data.sData=sData; |
|
3421 |
+ data.undo.sData=undo; |
|
3422 |
+ set(pre_h,'UserData',data); |
|
3423 |
+ old = gcf; |
|
3424 |
+ set(0,'CurrentFigure',pre_h); |
|
3425 |
+ sel_comp; |
|
3426 |
+ cplot_mimema; |
|
3427 |
+ set(0,'CurrentFigure',old); |
|
3428 |
+ end |
|
3429 |
+ case 'c_all' |
|
3430 |
+ MODE='2'; |
|
3431 |
+ if delay > 0 |
|
3432 |
+ sData.data(delay+1:len,n_th_comp)=sData.data(1:len-delay,n_th_comp); |
|
3433 |
+ if delay >= len |
|
3434 |
+ errordlg(q,t); |
|
3435 |
+ return; |
|
3436 |
+ else |
|
3437 |
+ sData.data=sData.data(delay+1:len,:); |
|
3438 |
+ end |
|
3439 |
+ elseif delay < 0 |
|
3440 |
+ sData.data(1:len+delay,n_th_comp)=sData.data(abs(delay)+1:len,n_th_comp); |
|
3441 |
+ if abs(delay) >= len |
|
3442 |
+ errordlg(q,t); |
|
3443 |
+ return; |
|
3444 |
+ else |
|
3445 |
+ sData.data=sData.data(1:len+delay,:); |
|
3446 |
+ end |
|
3447 |
+ end |
|
3448 |
+ if delay ~= 0 |
|
3449 |
+ data=get(pre_h,'UserData'); |
|
3450 |
+ sData.MODIFIED=1; |
|
3451 |
+ sData.comp_norm(:,:)={[]}; |
|
3452 |
+ data.sData=sData; |
|
3453 |
+ data.undo.sData=undo; |
|
3454 |
+ data.undo.selected=data.selected_vects; |
|
3455 |
+ if delay > 0 |
|
3456 |
+ data.selected_vects=... |
|
3457 |
+ data.selected_vects(find(data.selected_vects>delay)); |
|
3458 |
+ data.selected_vects=data.selected_vects-delay; |
|
3459 |
+ elseif nargin == 1 |
|
3460 |
+ data.selected_vects=... |
|
3461 |
+ data.selected_vects(find(data.selected_vects<=len-abs(delay))); |
|
3462 |
+ end |
|
3463 |
+ set(pre_h,'UserData',data); |
|
3464 |
+ old=gcf; |
|
3465 |
+ set(0,'CurrentFigure',pre_h); |
|
3466 |
+ vects=zeros(1,length(sData.data(:,1))); |
|
3467 |
+ vects(data.selected_vects)=1; |
|
3468 |
+ write_sD_stats; |
|
3469 |
+ draw_vectors(vects,data.vector_h); |
|
3470 |
+ sel_comp; |
|
3471 |
+ cplot_mimema; |
|
3472 |
+ set(0,'CurrentFigure',old); |
|
3473 |
+ end |
|
3474 |
+ case 'e_all' |
|
3475 |
+ MODE='3'; |
|
3476 |
+ if delay > 0 |
|
3477 |
+ sData.data(len+1:len+delay,:)=NaN; |
|
3478 |
+ sData.data(1+delay:delay+len,n_th_comp)=sData.data(1:len,n_th_comp); |
|
3479 |
+ sData.data(1:delay,n_th_comp)=NaN; |
|
3480 |
+ elseif delay < 0 |
|
3481 |
+ delay=abs(delay); |
|
3482 |
+ sData.data(delay+1:len+delay,:)=sData.data; |
|
3483 |
+ sData.data(1:delay,:)=NaN; |
|
3484 |
+ sData.data(1:len,n_th_comp)=sData.data(delay+1:len+delay,n_th_comp); |
|
3485 |
+ sData.data(len+1:len+delay,n_th_comp)=NaN; |
|
3486 |
+ end |
|
3487 |
+ if delay ~= 0 |
|
3488 |
+ data=get(pre_h,'UserData'); |
|
3489 |
+ sData.MODIFIED=1; |
|
3490 |
+ sData.comp_norm(:,:)={[]}; |
|
3491 |
+ data.sData=sData; |
|
3492 |
+ data.undo.sData=undo; |
|
3493 |
+ data.undo.selected=data.selected_vects; |
|
3494 |
+ set(pre_h,'UserData',data); |
|
3495 |
+ old=gcf; |
|
3496 |
+ set(0,'CurrentFigure',pre_h); |
|
3497 |
+ write_sD_stats; |
|
3498 |
+ pro_tools('selall'); |
|
3499 |
+ set(0,'CurrentFigure',old); |
|
3500 |
+ end |
|
3501 |
+end |
|
3502 |
+ |
|
3503 |
+if ~LOG |
|
3504 |
+ data=get(pre_h,'UserData'); |
|
3505 |
+ data.LOG{length(data.LOG)+1}='% Delay a component.'; |
|
3506 |
+ data.LOG{length(data.LOG)+1}=cat(2,'preprocess(''delay_data'',''',... |
|
3507 |
+ num2str(delay),' ',MODE,''');'); |
|
3508 |
+ set(pre_h,'UserData',data); |
|
3509 |
+end |
|
3510 |
+ |
|
3511 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
3512 |
+ |
|
3513 |
+function window(varargin) |
|
3514 |
+ |
|
3515 |
+if nargin ~= 1 |
|
3516 |
+ pre_h=findobj(get(0,'Children'),'Tag','Preprocess'); |
|
3517 |
+ preh_udata=get(pre_h,'UserData'); |
|
3518 |
+ preh_udata.LOG{length(preh_udata.LOG)+1}=... |
|
3519 |
+ '% Starting the ''Windowed'' -window...'; |
|
3520 |
+ preh_udata.LOG{length(preh_udata.LOG)+1}='preprocess(''window'',''foo'');'; |
|
3521 |
+ set(pre_h,'UserData',preh_udata); |
|
3522 |
+end |
|
3523 |
+ |
|
3524 |
+win_h=findobj(get(0,'Children'),'Tag','Window'); |
|
3525 |
+ |
|
3526 |
+if ~isempty(win_h) |
|
3527 |
+ figure(win_h); |
|
3528 |
+ return; |
|
3529 |
+end |
|
3530 |
+ |
|
3531 |
+h0 = figure('Color',[0.8 0.8 0.8], ... |
|
3532 |
+ 'PaperPosition',[18 180 576 432], ... |
|
3533 |
+ 'PaperUnits','points', ... |
|
3534 |
+ 'Position',[513 703 288 219], ... |
|
3535 |
+ 'Tag','Window'); |
|
3536 |
+ |
|
3537 |
+h1 = uicontrol('Parent',h0, ... |
|
3538 |
+ 'Units','normalized', ... |
|
3539 |
+ 'BackgroundColor',[0.752941176470588 0.752941176470588 0.752941176470588], ... |
|
3540 |
+ 'ListboxTop',0, ... |
|
3541 |
+ 'Position',[0.03125 0.1552511415525114 0.9375 0.7990867579908676], ... |
|
3542 |
+ 'Style','frame', ... |
|
3543 |
+ 'Tag','Frame1'); |
|
3544 |
+h1 = uicontrol('Parent',h0, ... |
|
3545 |
+ 'Units','normalized', ... |
|
3546 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
3547 |
+ 'ListboxTop',0, ... |
|
3548 |
+ 'Position',[0.04861111111111111 0.7214611872146118 0.9027777777777777 0.2009132420091324], ... |
|
3549 |
+ 'Style','frame', ... |
|
3550 |
+ 'Tag','Frame2'); |
|
3551 |
+h1 = uicontrol('Parent',h0, ... |
|
3552 |
+ 'Units','normalized', ... |
|
3553 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
3554 |
+ 'ListboxTop',0, ... |
|
3555 |
+ 'Position',[0.04861111111111111 0.1780821917808219 0.2777777777777778 0.5251141552511416], ... |
|
3556 |
+ 'Style','frame', ... |
|
3557 |
+ 'Tag','Frame3'); |
|
3558 |
+h1 = uicontrol('Parent',h0, ... |
|
3559 |
+ 'Units','normalized', ... |
|
3560 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
3561 |
+ 'ListboxTop',0, ... |
|
3562 |
+ 'Position',[0.3611111111111111 0.1780821917808219 0.2777777777777778 0.5251141552511416], ... |
|
3563 |
+ 'Style','frame', ... |
|
3564 |
+ 'Tag','Frame4'); |
|
3565 |
+h1 = uicontrol('Parent',h0, ... |
|
3566 |
+ 'Units','normalized', ... |
|
3567 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
3568 |
+ 'ListboxTop',0, ... |
|
3569 |
+ 'Position',[0.6736111111111111 0.1780821917808219 0.2777777777777778 0.5251141552511416], ... |
|
3570 |
+ 'Style','frame', ... |
|
3571 |
+ 'Tag','Frame5'); |
|
3572 |
+ |
|
3573 |
+h1 = uicontrol('Parent',h0, ... |
|
3574 |
+ 'Callback','preprocess eval_windowed',... |
|
3575 |
+ 'Units','normalized', ... |
|
3576 |
+ 'FontWeight','demi', ... |
|
3577 |
+ 'ListboxTop',0, ... |
|
3578 |
+ 'Position',[0.03125 0.0319634703196347 0.2256944444444444 0.091324200913242], ... |
|
3579 |
+ 'String','OK', ... |
|
3580 |
+ 'Tag','Pushbutton1'); |
|
3581 |
+ |
|
3582 |
+h1 = uicontrol('Parent',h0, ... |
|
3583 |
+ 'Callback','preprocess close_w', ... |
|
3584 |
+ 'Units','normalized', ... |
|
3585 |
+ 'FontWeight','demi', ... |
|
3586 |
+ 'ListboxTop',0, ... |
|
3587 |
+ 'Position',[0.7430555555555555 0.0319634703196347 0.2256944444444444 0.091324200913242], ... |
|
3588 |
+ 'String','Close', ... |
|
3589 |
+ 'Tag','Pushbutton2'); |
|
3590 |
+ |
|
3591 |
+h1 = uicontrol('Parent',h0, ... |
|
3592 |
+ 'Units','normalized', ... |
|
3593 |
+ 'BackgroundColor',[1 1 1], ... |
|
3594 |
+ 'ListboxTop',0, ... |
|
3595 |
+ 'Position',[0.7083333333333333 0.7625570776255708 0.2083333333333333 0.1232876712328767], ... |
|
3596 |
+ 'Style','edit', ... |
|
3597 |
+ 'Tag','EditText1'); |
|
3598 |
+ |
|
3599 |
+data.win_len_h=h1; |
|
3600 |
+ |
|
3601 |
+h1 = uicontrol('Parent',h0, ... |
|
3602 |
+ 'Units','normalized', ... |
|
3603 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
3604 |
+ 'FontWeight','demi', ... |
|
3605 |
+ 'HorizontalAlignment','left', ... |
|
3606 |
+ 'ListboxTop',0, ... |
|
3607 |
+ 'Position',[0.07638888888888888 0.8036529680365296 0.3784722222222222 0.0547945205479452], ... |
|
3608 |
+ 'String','Window length', ... |
|
3609 |
+ 'Style','text', ... |
|
3610 |
+ 'Tag','StaticText1'); |
|
3611 |
+ |
|
3612 |
+h1 = uicontrol('Parent',h0, ... |
|
3613 |
+ 'Units','normalized', ... |
|
3614 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
3615 |
+ 'Callback','preprocess window_cb centered',... |
|
3616 |
+ 'ListboxTop',0, ... |
|
3617 |
+ 'Position',[0.06597222222222222 0.5616438356164384 0.06597222222222222 0.0821917808219178], ... |
|
3618 |
+ 'Style','radiobutton', ... |
|
3619 |
+ 'Tag','Radiobutton1'); |
|
3620 |
+ |
|
3621 |
+data.centered_h=h1; |
|
3622 |
+data.position='center'; |
|
3623 |
+ |
|
3624 |
+h1 = uicontrol('Parent',h0, ... |
|
3625 |
+ 'Units','normalized', ... |
|
3626 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
3627 |
+ 'Callback','preprocess window_cb previous',... |
|
3628 |
+ 'ListboxTop',0, ... |
|
3629 |
+ 'Position',[0.06597222222222222 0.4018264840182648 0.06597222222222222 0.0821917808219178], ... |
|
3630 |
+ 'Style','radiobutton', ... |
|
3631 |
+ 'Tag','Radiobutton2'); |
|
3632 |
+ |
|
3633 |
+data.previous_h=h1; |
|
3634 |
+ |
|
3635 |
+h1 = uicontrol('Parent',h0, ... |
|
3636 |
+ 'Units','normalized', ... |
|
3637 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
3638 |
+ 'Callback','preprocess window_cb next',... |
|
3639 |
+ 'ListboxTop',0, ... |
|
3640 |
+ 'Position',[0.06597222222222222 0.2465753424657534 0.06597222222222222 0.0821917808219178], ... |
|
3641 |
+ 'Style','radiobutton', ... |
|
3642 |
+ 'Tag','Radiobutton3'); |
|
3643 |
+ |
|
3644 |
+data.next_h=h1; |
|
3645 |
+ |
|
3646 |
+h1 = uicontrol('Parent',h0, ... |
|
3647 |
+ 'Units','normalized', ... |
|
3648 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
3649 |
+ 'Callback','preprocess window_cb mean',... |
|
3650 |
+ 'ListboxTop',0, ... |
|
3651 |
+ 'Position',[0.3784722222222222 0.5799086757990868 0.06597222222222222 0.0821917808219178], ... |
|
3652 |
+ 'Style','radiobutton', ... |
|
3653 |
+ 'Tag','Radiobutton4'); |
|
3654 |
+ |
|
3655 |
+data.mean_h=h1; |
|
3656 |
+data.mode='mean'; |
|
3657 |
+ |
|
3658 |
+ |
|
3659 |
+h1 = uicontrol('Parent',h0, ... |
|
3660 |
+ 'Units','normalized', ... |
|
3661 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
3662 |
+ 'Callback','preprocess window_cb median',... |
|
3663 |
+ 'ListboxTop',0, ... |
|
3664 |
+ 'Position',[0.3784722222222222 0.4611872146118721 0.06597222222222222 0.0821917808219178], ... |
|
3665 |
+ 'Style','radiobutton', ... |
|
3666 |
+ 'Tag','Radiobutton5'); |
|
3667 |
+ |
|
3668 |
+ |
|
3669 |
+data.median_h=h1; |
|
3670 |
+ |
|
3671 |
+h1 = uicontrol('Parent',h0, ... |
|
3672 |
+ 'Units','normalized', ... |
|
3673 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
3674 |
+ 'Callback','preprocess window_cb max',... |
|
3675 |
+ 'ListboxTop',0, ... |
|
3676 |
+ 'Position',[0.3784722222222222 0.3515981735159817 0.06597222222222222 0.0821917808219178], ... |
|
3677 |
+ 'Style','radiobutton', ... |
|
3678 |
+ 'Tag','Radiobutton6'); |
|
3679 |
+ |
|
3680 |
+data.max_h=h1; |
|
3681 |
+ |
|
3682 |
+h1 = uicontrol('Parent',h0, ... |
|
3683 |
+ 'Units','normalized', ... |
|
3684 |
+ 'Callback','preprocess window_cb min',... |
|
3685 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
3686 |
+ 'ListboxTop',0, ... |
|
3687 |
+ 'Position',[0.3784722222222222 0.2374429223744292 0.06597222222222222 0.0821917808219178], ... |
|
3688 |
+ 'Style','radiobutton', ... |
|
3689 |
+ 'Tag','Radiobutton7'); |
|
3690 |
+ |
|
3691 |
+data.min_h = h1; |
|
3692 |
+ |
|
3693 |
+h1 = uicontrol('Parent',h0, ... |
|
3694 |
+ 'Units','normalized', ... |
|
3695 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
3696 |
+ 'Callback','preprocess window_cb clip',... |
|
3697 |
+ 'ListboxTop',0, ... |
|
3698 |
+ 'Position',[0.6909722222222222 0.5525114155251141 0.06597222222222222 0.0821917808219178], ... |
|
3699 |
+ 'Style','radiobutton', ... |
|
3700 |
+ 'Tag','Radiobutton8'); |
|
3701 |
+ |
|
3702 |
+data.clip_h=h1; |
|
3703 |
+data.eval_mode='clip'; |
|
3704 |
+ |
|
3705 |
+h1 = uicontrol('Parent',h0, ... |
|
3706 |
+ 'Units','normalized', ... |
|
3707 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
3708 |
+ 'Callback','preprocess window_cb expand',... |
|
3709 |
+ 'ListboxTop',0, ... |
|
3710 |
+ 'Position',[0.6909722222222222 0.2922374429223744 0.06597222222222222 0.0821917808219178], ... |
|
3711 |
+ 'Style','radiobutton', ... |
|
3712 |
+ 'Tag','Radiobutton9'); |
|
3713 |
+ |
|
3714 |
+data.expand_h=h1; |
|
3715 |
+ |
|
3716 |
+h1 = uicontrol('Parent',h0, ... |
|
3717 |
+ 'Units','normalized', ... |
|
3718 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
3719 |
+ 'FontWeight','demi', ... |
|
3720 |
+ 'FontSize',8,... |
|
3721 |
+ 'HorizontalAlignment','left', ... |
|
3722 |
+ 'ListboxTop',0, ... |
|
3723 |
+ 'Position',[0.132 0.5799 0.19 0.0548], ... |
|
3724 |
+ 'String','Centered', ... |
|
3725 |
+ 'Style','text', ... |
|
3726 |
+ 'Tag','StaticText2'); |
|
3727 |
+h1 = uicontrol('Parent',h0, ... |
|
3728 |
+ 'Units','normalized', ... |
|
3729 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
3730 |
+ 'FontWeight','demi', ... |
|
3731 |
+ 'FontSize',8,... |
|
3732 |
+ 'HorizontalAlignment','left', ... |
|
3733 |
+ 'ListboxTop',0, ... |
|
3734 |
+ 'Position',[0.132 0.4247 0.1667 0.0548], ... |
|
3735 |
+ 'String','Previous', ... |
|
3736 |
+ 'Style','text', ... |
|
3737 |
+ 'Tag','StaticText3'); |
|
3738 |
+h1 = uicontrol('Parent',h0, ... |
|
3739 |
+ 'Units','normalized', ... |
|
3740 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
3741 |
+ 'FontWeight','demi', ... |
|
3742 |
+ 'FontSize',8,... |
|
3743 |
+ 'HorizontalAlignment','left', ... |
|
3744 |
+ 'ListboxTop',0, ... |
|
3745 |
+ 'Position',[0.132 0.2648 0.1632 0.0548], ... |
|
3746 |
+ 'String','Next', ... |
|
3747 |
+ 'Style','text', ... |
|
3748 |
+ 'Tag','StaticText4'); |
|
3749 |
+h1 = uicontrol('Parent',h0, ..., |
|
3750 |
+ 'Units','normalized', ... |
|
3751 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
3752 |
+ 'FontWeight','demi', ... |
|
3753 |
+ 'FontSize',8,... |
|
3754 |
+ 'HorizontalAlignment','left', ... |
|
3755 |
+ 'ListboxTop',0, ... |
|
3756 |
+ 'Position',[0.445 0.6027397260273972 0.19 0.0547945205479452], ... |
|
3757 |
+ 'String','Mean', ... |
|
3758 |
+ 'Style','text', ... |
|
3759 |
+ 'Tag','StaticText5'); |
|
3760 |
+h1 = uicontrol('Parent',h0, ... |
|
3761 |
+ 'Units','normalized', ... |
|
3762 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
3763 |
+ 'FontWeight','demi', ... |
|
3764 |
+ 'FontSize',8,... |
|
3765 |
+ 'HorizontalAlignment','left', ... |
|
3766 |
+ 'ListboxTop',0, ... |
|
3767 |
+ 'Position',[0.445 0.4795 0.1806 0.0548], ... |
|
3768 |
+ 'String','Median', ... |
|
3769 |
+ 'Style','text', ... |
|
3770 |
+ 'Tag','StaticText6'); |
|
3771 |
+ |
|
3772 |
+h1 = uicontrol('Parent',h0, ... |
|
3773 |
+ 'Units','normalized', ... |
|
3774 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
3775 |
+ 'FontWeight','demi', ... |
|
3776 |
+ 'FontSize',8,... |
|
3777 |
+ 'HorizontalAlignment','left', ... |
|
3778 |
+ 'ListboxTop',0, ... |
|
3779 |
+ 'Position',[0.445 0.3699 0.1667 0.0548], ... |
|
3780 |
+ 'String','Max', ... |
|
3781 |
+ 'Style','text', ... |
|
3782 |
+ 'Tag','StaticText7'); |
|
3783 |
+h1 = uicontrol('Parent',h0, ... |
|
3784 |
+ 'Units','normalized', ... |
|
3785 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
3786 |
+ 'FontWeight','demi', ... |
|
3787 |
+ 'FontSize',8,... |
|
3788 |
+ 'HorizontalAlignment','left', ... |
|
3789 |
+ 'ListboxTop',0, ... |
|
3790 |
+ 'Position',[0.445 0.2557077625570776 0.1597222222222222 0.0547945205479452], ... |
|
3791 |
+ 'String','Min', ... |
|
3792 |
+ 'Style','text', ... |
|
3793 |
+ 'Tag','StaticText8'); |
|
3794 |
+h1 = uicontrol('Parent',h0, ... |
|
3795 |
+ 'Units','normalized', ... |
|
3796 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
3797 |
+ 'FontWeight','demi', ... |
|
3798 |
+ 'FontSize',8,... |
|
3799 |
+ 'HorizontalAlignment','left', ... |
|
3800 |
+ 'ListboxTop',0, ... |
|
3801 |
+ 'Position',[0.7535 0.5753 0.1354 0.054], ... |
|
3802 |
+ 'String','Clip', ... |
|
3803 |
+ 'Style','text', ... |
|
3804 |
+ 'Tag','StaticText9'); |
|
3805 |
+h1 = uicontrol('Parent',h0, ... |
|
3806 |
+ 'Units','normalized', ... |
|
3807 |
+ 'BackgroundColor',[0.8 0.8 0.8], ... |
|
3808 |
+ 'FontWeight','demi', ... |
|
3809 |
+ 'FontSize',8,... |
|
3810 |
+ 'HorizontalAlignment','left', ... |
|
3811 |
+ 'ListboxTop',0, ... |
|
3812 |
+ 'Position',[0.7534722222222222 0.3150684931506849 0.1527777777777778 0.0547945205479452], ... |
|
3813 |
+ 'String','Expand', ... |
|
3814 |
+ 'Style','text', ... |
|
3815 |
+ 'Tag','StaticText10'); |
|
3816 |
+ |
|
3817 |
+ |
|
3818 |
+ |
|
3819 |
+set(gcf,'UserData',data); |
|
3820 |
+ |
|
3821 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
3822 |
+ |
|
3823 |
+function window_cb(arg) |
|
3824 |
+ |
|
3825 |
+data=get(gcf,'UserData'); |
|
3826 |
+ |
|
3827 |
+if any(strcmp(arg,[{'centered'},{'previous'},{'next'}])) |
|
3828 |
+ switch arg |
|
3829 |
+ case 'centered' |
|
3830 |
+ data.position='center'; |
|
3831 |
+ set(data.previous_h,'Value',0); |
|
3832 |
+ set(data.next_h,'Value',0); |
|
3833 |
+ set(data.centered_h,'Value',1); |
|
3834 |
+ case 'previous' |
|
3835 |
+ data.position='previous'; |
|
3836 |
+ set(data.centered_h,'Value',0); |
|
3837 |
+ set(data.next_h,'Value',0); |
|
3838 |
+ set(data.previous_h,'Value',1); |
|
3839 |
+ case 'next' |
|
3840 |
+ data.position='next'; |
|
3841 |
+ set(data.centered_h,'Value',0); |
|
3842 |
+ set(data.previous_h,'Value',0); |
|
3843 |
+ set(data.next_h,'Value',1); |
|
3844 |
+ end |
|
3845 |
+elseif any(strcmp(arg,[{'mean'},{'median'},{'min'},{'max'}])) |
|
3846 |
+ switch arg |
|
3847 |
+ case 'mean' |
|
3848 |
+ data.mode='mean'; |
|
3849 |
+ set(data.median_h,'Value',0); |
|
3850 |
+ set(data.min_h,'Value',0); |
|
3851 |
+ set(data.max_h,'Value',0); |
|
3852 |
+ set(data.mean_h,'Value',1); |
|
3853 |
+ case 'median' |
|
3854 |
+ data.mode='median'; |
|
3855 |
+ set(data.mean_h,'Value',0); |
|
3856 |
+ set(data.max_h,'Value',0); |
|
3857 |
+ set(data.min_h,'Value',0); |
|
3858 |
+ set(data.median_h,'Value',1); |
|
3859 |
+ case 'max' |
|
3860 |
+ data.mode='max'; |
|
3861 |
+ set(data.mean_h,'Value',0); |
|
3862 |
+ set(data.median_h,'Value',0); |
|
3863 |
+ set(data.min_h,'Value',0); |
|
3864 |
+ set(data.max_h,'Value',1); |
|
3865 |
+ case 'min' |
|
3866 |
+ data.mode='min'; |
|
3867 |
+ set(data.mean_h,'Value',0); |
|
3868 |
+ set(data.median_h,'Value',0); |
|
3869 |
+ set(data.max_h,'Value',0); |
|
3870 |
+ set(data.min_h,'Value',1); |
|
3871 |
+ end |
|
3872 |
+elseif any(strcmp(arg,[{'clip','expand'}])) |
|
3873 |
+ switch arg |
|
3874 |
+ case 'clip' |
|
3875 |
+ data.eval_mode='clip'; |
|
3876 |
+ set(data.expand_h,'Value',0); |
|
3877 |
+ set(data.clip_h,'Value',1); |
|
3878 |
+ case 'expand' |
|
3879 |
+ data.eval_mode='expand'; |
|
3880 |
+ set(data.clip_h,'Value',0); |
|
3881 |
+ set(data.expand_h,'Value',1); |
|
3882 |
+ end |
|
3883 |
+end |
|
3884 |
+ |
|
3885 |
+set(gcf,'UserData',data); |
|
3886 |
+ |
|
3887 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
3888 |
+ |
|
3889 |
+function eval_windowed(varargin) |
|
3890 |
+ |
|
3891 |
+if nargin == 1 |
|
3892 |
+ LOG=1; |
|
3893 |
+ i=1; |
|
3894 |
+ arg=varargin{1}; |
|
3895 |
+ while i <= length(arg) & arg(i) ~= ' ' |
|
3896 |
+ i=i+1; |
|
3897 |
+ end |
|
3898 |
+ value=str2num(arg(1:i-1)); |
|
3899 |
+ i=i+1; |
|
3900 |
+ j=i; |
|
3901 |
+ while i <= length(arg) & arg(i) ~= ' ' |
|
3902 |
+ i=i+1; |
|
3903 |
+ end |
|
3904 |
+ position=arg(j:i-1); |
|
3905 |
+ i=i+1; |
|
3906 |
+ j=i; |
|
3907 |
+ while i <= length(arg) & arg(i) ~= ' ' |
|
3908 |
+ i=i+1; |
|
3909 |
+ end |
|
3910 |
+ mode=arg(j:i-1); |
|
3911 |
+ i=i+1; |
|
3912 |
+ j=i; |
|
3913 |
+ while i <= length(arg) & arg(i) ~= ' ' |
|
3914 |
+ i=i+1; |
|
3915 |
+ end |
|
3916 |
+ eval_mode=arg(j:i-1); |
|
3917 |
+else |
|
3918 |
+ LOG=0; |
|
3919 |
+end |
|
3920 |
+ |
|
3921 |
+data=get(gcf,'UserData'); |
|
3922 |
+if LOG |
|
3923 |
+ data.position=position; |
|
3924 |
+ data.eval_mode=eval_mode; |
|
3925 |
+ data.mode=mode; |
|
3926 |
+end |
|
3927 |
+pre_h=findobj(get(0,'Children'),'Tag','Preprocess'); |
|
3928 |
+ |
|
3929 |
+if isempty(pre_h) |
|
3930 |
+ errordlg('''Preprocess''-window does not exist. Terminating program...'); |
|
3931 |
+ pro_tools('close'); |
|
3932 |
+ return; |
|
3933 |
+end |
|
3934 |
+ |
|
3935 |
+comp_names_h=getfield(get(pre_h,'UserData'),'comp_names_h'); |
|
3936 |
+sData=getfield(get(pre_h,'UserData'),'sData'); |
|
3937 |
+undo=sData; |
|
3938 |
+ |
|
3939 |
+if isempty(get(comp_names_h,'Value')) |
|
3940 |
+ errordlg('There are not components chosen.'); |
|
3941 |
+ return; |
|
3942 |
+end |
|
3943 |
+ |
|
3944 |
+if ~LOG |
|
3945 |
+ if isempty(get(data.win_len_h,'String')) |
|
3946 |
+ errordlg('Window length must be defined'); |
|
3947 |
+ return; |
|
3948 |
+ end |
|
3949 |
+ |
|
3950 |
+ value=str2num(get(data.win_len_h,'String')); |
|
3951 |
+end |
|
3952 |
+ |
|
3953 |
+set(data.win_len_h,'String',''); |
|
3954 |
+ |
|
3955 |
+if ~LOG |
|
3956 |
+ if isempty(value) | value < 0 | value ~= round(value) |
|
3957 |
+ errordlg('Window length must be positive integer.'); |
|
3958 |
+ return; |
|
3959 |
+ end |
|
3960 |
+ |
|
3961 |
+ if value > length(sData.data(:,1)) |
|
3962 |
+ errordlg('Length of window is too big.'); |
|
3963 |
+ return; |
|
3964 |
+ end |
|
3965 |
+end |
|
3966 |
+ |
|
3967 |
+index=getfield(get_indices,{1}); |
|
3968 |
+ |
|
3969 |
+sData=eval_operation(sData,value,data.mode,data.eval_mode,data.position,index); |
|
3970 |
+sData.comp_norm(index)={[]}; |
|
3971 |
+u_data=get(pre_h,'UserData'); |
|
3972 |
+u_data.sData=sData; |
|
3973 |
+u_data.undo.sData=undo; |
|
3974 |
+u_data.undo.selected=u_data.selected_vects; |
|
3975 |
+ |
|
3976 |
+if ~LOG |
|
3977 |
+ u_data.LOG{length(u_data.LOG)+1}=... |
|
3978 |
+ '% Evaluating the wanted ''windowed'' -operation.'; |
|
3979 |
+ u_data.LOG{length(u_data.LOG)+1}=cat(2,'preprocess(''eval_windowed'',',... |
|
3980 |
+ '''',num2str(value),... |
|
3981 |
+ ' ',data.position,' ',data.mode,... |
|
3982 |
+ ' ',data.eval_mode,''');'); |
|
3983 |
+end |
|
3984 |
+ |
|
3985 |
+set(pre_h,'UserData',u_data); |
|
3986 |
+old=gcf; |
|
3987 |
+set(0,'CurrentFigure',pre_h); |
|
3988 |
+ |
|
3989 |
+if strcmp(data.eval_mode,'expand'); |
|
3990 |
+ write_sD_stats; |
|
3991 |
+ pro_tools('selall'); |
|
3992 |
+else |
|
3993 |
+ sel_comp; |
|
3994 |
+ cplot_mimema; |
|
3995 |
+end |
|
3996 |
+ |
|
3997 |
+set(0,'CurrentFigure',old); |
|
3998 |
+ |
|
3999 |
+ |
|
4000 |
+ |
|
4001 |
+%%% Subfunction: eval_operation %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
4002 |
+ |
|
4003 |
+ |
|
4004 |
+function sData=eval_operation(sData,winlen,mode,evalmode,position,n) |
|
4005 |
+ |
|
4006 |
+ |
|
4007 |
+len=length(sData.data(:,1)); |
|
4008 |
+dim=length(sData.data(1,:)); |
|
4009 |
+ |
|
4010 |
+switch(position) |
|
4011 |
+ case 'center' |
|
4012 |
+ prev=round(winlen/2)-1; |
|
4013 |
+ next=winlen-round(winlen/2); |
|
4014 |
+ case 'previous' |
|
4015 |
+ prev=winlen-1; |
|
4016 |
+ next=0; |
|
4017 |
+ case 'next' |
|
4018 |
+ prev=0; |
|
4019 |
+ next=winlen-1; |
|
4020 |
+end |
|
4021 |
+ |
|
4022 |
+switch(evalmode) |
|
4023 |
+ case 'clip' |
|
4024 |
+ for center=1:len |
|
4025 |
+ win=center-prev:center-prev+winlen-1; |
|
4026 |
+ win=win(find(win > 0 & win <= len)); |
|
4027 |
+ str=cat(2,mode,'(sData.data(win(find(~isnan(sData.data(win,n)))),n))'); |
|
4028 |
+ tmp(center)=eval(str); |
|
4029 |
+ end |
|
4030 |
+ sData.data(:,n)=tmp; |
|
4031 |
+ case 'expand' |
|
4032 |
+ for i=1:len+winlen-1 |
|
4033 |
+ win=i-(winlen-1):i; |
|
4034 |
+ win=win(find(win > 0 & win <= len)); |
|
4035 |
+ str=cat(2,mode,'(sData.data(win(find(~isnan(sData.data(win,n)))),n))'); |
|
4036 |
+ tmp(i)=eval(str); |
|
4037 |
+ end |
|
4038 |
+ sData.data=cat(1,repmat(NaN,next,dim),sData.data,repmat(NaN,prev,dim)); |
|
4039 |
+ sData.data(:,n)=tmp; |
|
4040 |
+end |
|
4041 |
+ |
|
4042 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
4043 |
+ |
|
4044 |
+ |
|
4045 |
+ |
|
4046 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
4047 |
+ |
|
4048 |
+function pro_tools(arg) |
|
4049 |
+ |
|
4050 |
+switch arg |
|
4051 |
+ case 'close' |
|
4052 |
+ close_preprocess; |
|
4053 |
+ case 'c_stat' |
|
4054 |
+ write_c_stats; |
|
4055 |
+ case 'plot_hist' |
|
4056 |
+ plot_hist; |
|
4057 |
+ case 'plot' |
|
4058 |
+ plot_button; |
|
4059 |
+ case 'plxy' |
|
4060 |
+ plxy_button; |
|
4061 |
+ case 'bplo' |
|
4062 |
+ bplo_button; |
|
4063 |
+ case 'hist' |
|
4064 |
+ hist_button; |
|
4065 |
+end |
|
4066 |
+ |
|
4067 |
+ |
|
4068 |
+%%% Subfunction close_preprocess %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
4069 |
+ |
|
4070 |
+function close_preprocess |
|
4071 |
+ |
|
4072 |
+ |
|
4073 |
+pre_h=findobj(get(0,'Children'),'Tag','Preprocess'); |
|
4074 |
+man_h=findobj(get(0,'Children'),'Tag','Management'); |
|
4075 |
+clip_h=findobj(get(0,'Children'),'Tag','Clipping'); |
|
4076 |
+plot_h=findobj(get(0,'Children'),'Tag','PlotWin'); |
|
4077 |
+delay_h=findobj(get(0,'Children'),'Tag','Delay'); |
|
4078 |
+window_h=findobj(get(0,'Children'),'Tag','Window'); |
|
4079 |
+sel_h=findobj(get(0,'Children'),'Tag','Select'); |
|
4080 |
+ |
|
4081 |
+if ~isempty(man_h) |
|
4082 |
+ close(man_h); |
|
4083 |
+end |
|
4084 |
+if ~isempty(clip_h) |
|
4085 |
+ close(clip_h); |
|
4086 |
+end |
|
4087 |
+if ~isempty(plot_h) |
|
4088 |
+ close(plot_h); |
|
4089 |
+end |
|
4090 |
+if ~isempty(delay_h) |
|
4091 |
+ close(delay_h); |
|
4092 |
+end |
|
4093 |
+if ~isempty(window_h) |
|
4094 |
+ close(window_h); |
|
4095 |
+end |
|
4096 |
+if ~isempty(sel_h) |
|
4097 |
+ close(sel_h); |
|
4098 |
+end |
|
4099 |
+if ~isempty(pre_h) |
|
4100 |
+ close(pre_h); |
|
4101 |
+end |
|
4102 |
+ |
|
4103 |
+ |
|
4104 |
+ |
|
4105 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
4106 |
+ |
|
4107 |
+%%% Subfunction: undo %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
4108 |
+ |
|
4109 |
+function undo(varargin) |
|
4110 |
+ |
|
4111 |
+if nargin == 1 |
|
4112 |
+ pre_h=findobj(get(0,'Children'),'Tag','Preprocess'); |
|
4113 |
+ set(0,'CurrentFigure',pre_h); |
|
4114 |
+ LOG=1; |
|
4115 |
+else |
|
4116 |
+ LOG=0; |
|
4117 |
+end |
|
4118 |
+ |
|
4119 |
+data=get(gcf,'UserData'); |
|
4120 |
+if ~isempty(data.undo) |
|
4121 |
+ if any(strcmp('selected',fieldnames(data.undo))) |
|
4122 |
+ data.selected_vects=data.undo.selected; |
|
4123 |
+ end |
|
4124 |
+ if ~any(strcmp('index',fieldnames(data.undo))) |
|
4125 |
+ data.sData=data.undo.sData; |
|
4126 |
+ data.undo=[]; |
|
4127 |
+ if ~LOG |
|
4128 |
+ data.LOG{length(data.LOG)+1}='% Undo the most recent operation.'; |
|
4129 |
+ data.LOG{length(data.LOG)+1}='preprocess(''undo'',''foo'');'; |
|
4130 |
+ end |
|
4131 |
+ set(gcf,'UserData',data); |
|
4132 |
+ set_compnames(data.sData,data.comp_names_h); |
|
4133 |
+ write_sD_stats; |
|
4134 |
+ vect_means(data.sData,data.vect_mean_h,data.selected_vects); |
|
4135 |
+ sel_comp; |
|
4136 |
+ cplot_mimema; |
|
4137 |
+ return; |
|
4138 |
+ end |
|
4139 |
+ |
|
4140 |
+ % 'undo.sData' does not exist in sD_set - array |
|
4141 |
+ |
|
4142 |
+ index=data.undo.index; |
|
4143 |
+ data.undo.sData=rmfield(data.undo.sData,[{'INDEX'};{'MODIFIED'}]); |
|
4144 |
+ if index<=length(data.sD_set) |
|
4145 |
+ rest=data.sD_set(index:length(data.sD_set)); |
|
4146 |
+ else |
|
4147 |
+ rest=[]; |
|
4148 |
+ end |
|
4149 |
+ data.sD_set=cat(2,data.sD_set(1:index-1),data.undo.sData,rest); |
|
4150 |
+ data.undo=[]; |
|
4151 |
+ if ~LOG |
|
4152 |
+ data.LOG{length(data.LOG)+1}='% Undo the most recent operation.'; |
|
4153 |
+ data.LOG{length(data.LOG)+1}='preprocess(''undo'',''foo'');'; |
|
4154 |
+ end |
|
4155 |
+ set(gcf,'UserData',data); |
|
4156 |
+ set(getfield(get(gcf,'UserData'),'sD_set_h'),'Value',index); |
|
4157 |
+ set_sD_stats; |
|
4158 |
+ sel_sD; |
|
4159 |
+else |
|
4160 |
+ msgbox('Can''t do...'); |
|
4161 |
+end |
|
4162 |
+ |
|
4163 |
+%%% Subfunction: write_c_stats %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
4164 |
+ |
|
4165 |
+function write_c_stats(varargin) |
|
4166 |
+ |
|
4167 |
+ |
|
4168 |
+pre_h=findobj(get(0,'Children'),'Tag','Preprocess'); |
|
4169 |
+comp_names_h=getfield(get(pre_h,'UserData'),'comp_names_h'); |
|
4170 |
+sel_comp_h=getfield(get(pre_h,'UserData'),'sel_comp_h'); |
|
4171 |
+sel_chist_h=getfield(get(pre_h,'UserData'),'sel_chist_h'); |
|
4172 |
+ |
|
4173 |
+if nargin==1 |
|
4174 |
+ val1=varargin(1); |
|
4175 |
+else |
|
4176 |
+ val1=get(sel_comp_h,'String'); |
|
4177 |
+end |
|
4178 |
+ |
|
4179 |
+if ~isempty(val1) & iscell(val1) |
|
4180 |
+ selected_vects=getfield(get(pre_h,'UserData'),'selected_vects'); |
|
4181 |
+ sData=getfield(get(pre_h,'UserData'),'sData'); |
|
4182 |
+ sel_cdata_h=getfield(get(pre_h,'UserData'),'sel_cdata_h'); |
|
4183 |
+ name=getfield(get(sel_comp_h,'String'),{get(sel_comp_h,'Value')}); |
|
4184 |
+ name=name{1}; |
|
4185 |
+ i=2; |
|
4186 |
+ |
|
4187 |
+ while ~isempty(str2num(name(i))) |
|
4188 |
+ value(i-1)=name(i); |
|
4189 |
+ i=i+1; |
|
4190 |
+ end |
|
4191 |
+ |
|
4192 |
+ value=str2num(value); |
|
4193 |
+ |
|
4194 |
+ |
|
4195 |
+ data=sData.data(selected_vects,value); |
|
4196 |
+ |
|
4197 |
+ string{1} = cat(2,'Min: ',sprintf('%-10.3g',min(data))); |
|
4198 |
+ string{2} = cat(2,'Mean: ',sprintf('%-10.3g',mean(data(find(~isnan(data)))))); |
|
4199 |
+ string{3} = cat(2,'Max: ',sprintf('%-10.3g',max(data))); |
|
4200 |
+ string{4} = cat(2,'Std: ',sprintf('%-10.3g',std(data(find(~isnan(data)))))); |
|
4201 |
+ string{5} = cat(2,'Number of NaNs: ',sprintf('%-10.3g',sum(isnan(data)))); |
|
4202 |
+ string{6} = cat(2,'NaN (%):',... |
|
4203 |
+ sprintf('%-10.3g',100*sum(isnan(data))/length(data))); |
|
4204 |
+ string{7} = cat(2,'Number of values: ',sprintf('%-10.3g',... |
|
4205 |
+ length(find(~isnan(unique(data)))))); |
|
4206 |
+ set(sel_cdata_h,'String',string); |
|
4207 |
+ set(sel_cdata_h,'HorizontalAlignment','left'); |
|
4208 |
+end |
|
4209 |
+ |
|
4210 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
4211 |
+ |
|
4212 |
+%%% Subfunction plot_hist %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
4213 |
+ |
|
4214 |
+function plot_hist |
|
4215 |
+ |
|
4216 |
+pre_h=findobj(get(0,'Children'),'Tag','Preprocess'); |
|
4217 |
+sel_chist_h=getfield(get(pre_h,'UserData'),'sel_chist_h'); |
|
4218 |
+sData=getfield(get(pre_h,'UserData'),'sData'); |
|
4219 |
+selected=getfield(get(pre_h,'UserData'),'selected_vects'); |
|
4220 |
+ |
|
4221 |
+value=get(getfield(get(pre_h,'UserData'),'sel_comp_h'),'Value'); |
|
4222 |
+subplot(sel_chist_h); |
|
4223 |
+hold off; |
|
4224 |
+cla; |
|
4225 |
+if all(isnan(sData.data(:,value))); |
|
4226 |
+ return; |
|
4227 |
+end |
|
4228 |
+hold on; |
|
4229 |
+lim1=min(sData.data(:,value)); |
|
4230 |
+lim2=max(sData.data(:,value)); |
|
4231 |
+if lim2 - lim1 >= eps |
|
4232 |
+ x=lim1:(lim2-lim1)/(30-1):lim2; |
|
4233 |
+ set(sel_chist_h,'XLim',[lim1 lim2]); |
|
4234 |
+elseif lim1 ~= 0 |
|
4235 |
+ x=(lim1)/2:lim1/(30-1):lim1+(lim1)/2; |
|
4236 |
+ set(sel_chist_h,'Xlim',[lim1-abs(lim1/2) lim1+abs(lim1/2)]); |
|
4237 |
+else |
|
4238 |
+ x=-1:2/(30-1):1; |
|
4239 |
+ set(sel_chist_h,'XLim',[-1 1]); |
|
4240 |
+end |
|
4241 |
+ |
|
4242 |
+hist(sData.data(selected,value),x); |
|
4243 |
+ |
|
4244 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
4245 |
+ |
|
4246 |
+%%% Subfunction: select_all %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
4247 |
+ |
|
4248 |
+function select_all(varargin) |
|
4249 |
+ |
|
4250 |
+if nargin == 1 |
|
4251 |
+ LOG=1; |
|
4252 |
+else |
|
4253 |
+ LOG=0; |
|
4254 |
+end |
|
4255 |
+ |
|
4256 |
+data=get(gcf,'UserData'); |
|
4257 |
+data.selected_vects=(1:length(data.sData.data(:,1))); |
|
4258 |
+if ~LOG |
|
4259 |
+ data.LOG{length(data.LOG)+1}='% Select all vectors.'; |
|
4260 |
+ data.LOG{length(data.LOG)+1}='selall(''foo'');'; |
|
4261 |
+end |
|
4262 |
+set(gcf,'UserData',data); |
|
4263 |
+tmp=zeros(1,length(data.sData.data(:,1))); |
|
4264 |
+tmp(data.selected_vects)=1; |
|
4265 |
+draw_vectors(tmp,data.vector_h); |
|
4266 |
+cplot_mimema; |
|
4267 |
+vect_means(data.sData,data.vect_mean_h,data.selected_vects); |
|
4268 |
+sel_comp; |
|
4269 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
4270 |
+ |
|
4271 |
+%%% Subfunction: plot_button %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
4272 |
+ |
|
4273 |
+function plot_button |
|
4274 |
+ |
|
4275 |
+%PLOT_BUTTON A callback function. Plots all the components and marks |
|
4276 |
+% the chosen components. |
|
4277 |
+% |
|
4278 |
+% |
|
4279 |
+ |
|
4280 |
+sData=getfield(get(gcf,'UserData'),'sData'); |
|
4281 |
+selected=getfield(get(gcf,'UserData'),'selected_vects'); |
|
4282 |
+ |
|
4283 |
+indices=get_indices; |
|
4284 |
+if isempty(indices) |
|
4285 |
+ return; |
|
4286 |
+end |
|
4287 |
+h=findobj(get(0,'Children'),'Tag','PlotWin'); |
|
4288 |
+if isempty(h) |
|
4289 |
+ h= figure; |
|
4290 |
+ set(h,'Tag','PlotWin'); |
|
4291 |
+end |
|
4292 |
+ |
|
4293 |
+names=sData.comp_names(indices); |
|
4294 |
+data=sData.data(:,indices); |
|
4295 |
+ |
|
4296 |
+set(0,'CurrentFigure',h); |
|
4297 |
+hold off; |
|
4298 |
+clf; |
|
4299 |
+t=0:1/(getfield(size(data),{1})-1):1; |
|
4300 |
+tmp=setdiff(1:length(data(:,1)),selected); |
|
4301 |
+for i=1:length(names) |
|
4302 |
+ subplot(length(names),1,i); |
|
4303 |
+ hold on; |
|
4304 |
+ if max(data(:,i))- min(data(:,i)) <= eps |
|
4305 |
+ set(gca,'YLim',[max(data(:,i))-1 max(data(:,i))+1]); |
|
4306 |
+ end |
|
4307 |
+ plot(t,data(:,i)); |
|
4308 |
+ if ~isempty(tmp); |
|
4309 |
+ data(tmp,i)=NaN; |
|
4310 |
+ end |
|
4311 |
+ plot(t,data(:,i),'red'); |
|
4312 |
+ ylabel(names{i}); |
|
4313 |
+ set(gca,'XTick',[]); |
|
4314 |
+end |
|
4315 |
+set(gcf,'Name','Plotted Data Components'); |
|
4316 |
+ |
|
4317 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
4318 |
+ |
|
4319 |
+%%% Subfunction: plxy_button %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
4320 |
+ |
|
4321 |
+function plxy_button |
|
4322 |
+ |
|
4323 |
+%PLXY_BUTTON A callback function. XY-plots the first and the second |
|
4324 |
+% components chosen. |
|
4325 |
+% |
|
4326 |
+% |
|
4327 |
+ |
|
4328 |
+ |
|
4329 |
+sData=getfield(get(gcf,'UserData'),'sData'); |
|
4330 |
+selected=getfield(get(gcf,'UserData'),'selected_vects'); |
|
4331 |
+ |
|
4332 |
+inds = get_indices; |
|
4333 |
+if length(inds) < 2 |
|
4334 |
+ errordlg('There must be two components chosen for XY-plot.'); |
|
4335 |
+ return; |
|
4336 |
+end |
|
4337 |
+ |
|
4338 |
+inds=inds(1:2); |
|
4339 |
+names=getfield(sData,'comp_names',{inds}); |
|
4340 |
+ |
|
4341 |
+h=findobj(get(0,'Children'),'Tag','PlotWin'); |
|
4342 |
+ |
|
4343 |
+if isempty(h) |
|
4344 |
+ h= figure; |
|
4345 |
+ set(h,'Tag','PlotWin'); |
|
4346 |
+end |
|
4347 |
+ |
|
4348 |
+set(0,'CurrentFigure',h); |
|
4349 |
+clf; |
|
4350 |
+axes; |
|
4351 |
+if max(sData.data(:,inds(1))) - min(sData.data(:,inds(1))) <= eps |
|
4352 |
+ set(gca,'XLim',[max(sData.data(:,inds(1)))-1 max(sData.data(:,inds(1)))+1]); |
|
4353 |
+end |
|
4354 |
+if max(sData.data(:,inds(2))) - min(sData.data(:,inds(2))) <= eps |
|
4355 |
+ set(gca,'YLim',[max(sData.data(:,inds(2)))-1 max(sData.data(:,inds(2)))+1]); |
|
4356 |
+end |
|
4357 |
+hold on; |
|
4358 |
+plot(sData.data(:,inds(1)),sData.data(:,inds(2)),'o'); |
|
4359 |
+x=sData.data(selected,inds(1)); |
|
4360 |
+y=sData.data(selected,inds(2)); |
|
4361 |
+ |
|
4362 |
+plot(x,y,'ored','MarkerSize',4); |
|
4363 |
+xlabel(names(1)); |
|
4364 |
+ylabel(names(2)); |
|
4365 |
+set(h,'Name','Plotted Data Components'); |
|
4366 |
+ |
|
4367 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
4368 |
+ |
|
4369 |
+%%% Sub_function: bplo_button %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
4370 |
+ |
|
4371 |
+function bplo_button |
|
4372 |
+ |
|
4373 |
+%BPLO_BUTTON A callback function. Box-plots the first component chosen. |
|
4374 |
+ |
|
4375 |
+ |
|
4376 |
+sData=getfield(get(gcf,'UserData'),'sData'); |
|
4377 |
+selected=getfield(get(gcf,'UserData'),'selected_vects'); |
|
4378 |
+ |
|
4379 |
+if length(selected) == 1 |
|
4380 |
+ errordlg('There are too few vectors chosen for box-plotting.'); |
|
4381 |
+else |
|
4382 |
+ indices=get_indices; |
|
4383 |
+ if isempty(indices) |
|
4384 |
+ return; |
|
4385 |
+ end |
|
4386 |
+ for i=1:length(indices) |
|
4387 |
+ if length(unique(sData.data(selected,indices(i))))==1 |
|
4388 |
+ errordlg('All the values are the same. Operation can''t be evaluated.'); |
|
4389 |
+ return; |
|
4390 |
+ end |
|
4391 |
+ end |
|
4392 |
+ names=getfield(sData,'comp_names',{indices}); |
|
4393 |
+ h= findobj(get(0,'Children'),'Tag','PlotWin'); |
|
4394 |
+ if isempty(h) |
|
4395 |
+ h= figure; |
|
4396 |
+ set(h,'Tag','PlotWin'); |
|
4397 |
+ end |
|
4398 |
+ |
|
4399 |
+ data=sData.data(selected,indices); |
|
4400 |
+ |
|
4401 |
+ set(0,'CurrentFigure',h); |
|
4402 |
+ hold off; |
|
4403 |
+ clf; |
|
4404 |
+ hold on; |
|
4405 |
+ for i=1:getfield(size(data),{2}) |
|
4406 |
+ subplot(getfield(size(data),{2}),1,i); |
|
4407 |
+ if ~all(isnan(data(:,i))) |
|
4408 |
+ boxplot(data(:,i)); |
|
4409 |
+ end |
|
4410 |
+ name=names{i}; |
|
4411 |
+ tmp=get(get(gca,'YLabel'),'String'); |
|
4412 |
+ ylabel(cat(2,sprintf('[%s] ',name),tmp)); |
|
4413 |
+ end |
|
4414 |
+ set(h,'Name','Box-plot'); |
|
4415 |
+end |
|
4416 |
+ |
|
4417 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
4418 |
+ |
|
4419 |
+%%% Subfunction: hist_button %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
4420 |
+ |
|
4421 |
+function hist_button |
|
4422 |
+ |
|
4423 |
+no_of_bins_h=getfield(get(gcf,'UserData'),'no_of_bins_h'); |
|
4424 |
+selected=getfield(get(gcf,'UserData'),'selected_vects'); |
|
4425 |
+sData=getfield(get(gcf,'UserData'),'sData'); |
|
4426 |
+n=str2num(get(no_of_bins_h,'String')); |
|
4427 |
+s1='Invalid number of bins.'; |
|
4428 |
+s2=sprintf('\nSet new value to the box under the ''Histogram''-button.'); |
|
4429 |
+ |
|
4430 |
+if isempty(n) |
|
4431 |
+ errordlg(cat(2,s1,s2)); |
|
4432 |
+else |
|
4433 |
+ indices=get_indices; |
|
4434 |
+ if isempty(indices) |
|
4435 |
+ return; |
|
4436 |
+ end |
|
4437 |
+ n=round(n); |
|
4438 |
+ if n < 1 |
|
4439 |
+ errordlg('Number of bins must be positive integer.'); |
|
4440 |
+ else |
|
4441 |
+ h= findobj(get(0,'Children'),'Tag','PlotWin'); |
|
4442 |
+ if isempty(h) |
|
4443 |
+ h= figure; |
|
4444 |
+ set(h,'Tag','PlotWin'); |
|
4445 |
+ end |
|
4446 |
+ |
|
4447 |
+ set(0,'CurrentFigure',h); |
|
4448 |
+ hold off; |
|
4449 |
+ clf; |
|
4450 |
+ data=sData.data(selected,indices); |
|
4451 |
+ names=sData.comp_names(indices); |
|
4452 |
+ for i=1:length(names) |
|
4453 |
+ subplot(length(names),1,i); |
|
4454 |
+ hold on; |
|
4455 |
+ lim1=min(sData.data(:,indices(i))); |
|
4456 |
+ lim2=max(sData.data(:,indices(i))); |
|
4457 |
+ if n > 1 |
|
4458 |
+ if lim2 - lim1 >= eps |
|
4459 |
+ x=lim1:(lim2-lim1)/(n-1):lim2; |
|
4460 |
+ set(gca,'XLim',[lim1 lim2]); |
|
4461 |
+ elseif lim1 ~= 0 |
|
4462 |
+ x=lim1/2:lim1/(n-1):lim1/2+lim1; |
|
4463 |
+ if ~all(isnan([lim1 lim2])) |
|
4464 |
+ set(gca,'XLim',[lim1-abs(lim1/2) lim1+abs(lim1/2)]); |
|
4465 |
+ end |
|
4466 |
+ else |
|
4467 |
+ x=-1:2/(n-1):1; |
|
4468 |
+ set(gca,'XLim',[-1 1]); |
|
4469 |
+ end |
|
4470 |
+ else |
|
4471 |
+ x=1; |
|
4472 |
+ if lim2 ~= lim1 |
|
4473 |
+ set(gca,'XLim',[lim1 lim2]); |
|
4474 |
+ else |
|
4475 |
+ set(gca,'XLim',[lim1/2 lim1/2+lim1]); |
|
4476 |
+ end |
|
4477 |
+ end |
|
4478 |
+ if ~all(isnan(data(:,i))) |
|
4479 |
+ hist(data(:,i),x); |
|
4480 |
+ end |
|
4481 |
+ name=names{i}; |
|
4482 |
+ xlabel(name); |
|
4483 |
+ end |
|
4484 |
+ set(h,'Name','Histogram'); |
|
4485 |
+ end |
|
4486 |
+end |
|
4487 |
+ |
|
4488 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
4489 |
+ |
|
4490 |
+%%% Subfunction: no_of_values %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
4491 |
+ |
|
4492 |
+function no_of_values(varargin); |
|
4493 |
+ |
|
4494 |
+%NO_OF_VALUES A callback function. Calculates the number of different |
|
4495 |
+% values of the chosen components. |
|
4496 |
+% |
|
4497 |
+% |
|
4498 |
+ |
|
4499 |
+if nargin==1; |
|
4500 |
+ LOG=1; |
|
4501 |
+else |
|
4502 |
+ LOG=0; |
|
4503 |
+end |
|
4504 |
+ |
|
4505 |
+pre_h=findobj(get(0,'Children'),'Tag','Preprocess'); |
|
4506 |
+results_h=getfield(get(pre_h,'UserData'),'results_h'); |
|
4507 |
+sData=getfield(get(pre_h,'UserData'),'sData'); |
|
4508 |
+selected=getfield(get(pre_h,'UserData'),'selected_vects'); |
|
4509 |
+str1='There must be one component chosen for ''Number of Values''-operation'; |
|
4510 |
+ |
|
4511 |
+ |
|
4512 |
+if ~LOG & isempty(get_indices) |
|
4513 |
+ errordlg(str1); |
|
4514 |
+else |
|
4515 |
+ indices=get_indices; |
|
4516 |
+ data=sData.data(selected,indices); |
|
4517 |
+ |
|
4518 |
+ string{1} = 'Number of different values:'; |
|
4519 |
+ |
|
4520 |
+ for i=1:getfield(size(data),{2}) |
|
4521 |
+ |
|
4522 |
+ tmp=data(:,i); |
|
4523 |
+ string{i+1}=cat(2,sprintf('#%d:',indices(i)),... |
|
4524 |
+ sprintf('%d',length(find(~isnan(unique(data(:,i))))))); |
|
4525 |
+ end |
|
4526 |
+ |
|
4527 |
+ set(results_h,'String',string); |
|
4528 |
+ set(results_h,'HorizontalAlignment','left'); |
|
4529 |
+ if ~LOG |
|
4530 |
+ data=get(pre_h,'UserData'); |
|
4531 |
+ data.LOG{length(data.LOG)+1}='% Number of values'; |
|
4532 |
+ data.LOG{length(data.LOG)+1}='preprocess(''noof'',''foo'');'; |
|
4533 |
+ set(pre_h,'UserData',data); |
|
4534 |
+ end |
|
4535 |
+end |
|
4536 |
+ |
|
4537 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
4538 |
+ |
|
4539 |
+%%% Subfunction: correlation %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
4540 |
+ |
|
4541 |
+function correlation(varargin) |
|
4542 |
+ |
|
4543 |
+if nargin == 1 |
|
4544 |
+ LOG=1; |
|
4545 |
+else |
|
4546 |
+ LOG=0; |
|
4547 |
+end |
|
4548 |
+ |
|
4549 |
+pre_h=findobj(get(0,'Children'),'Tag','Preprocess'); |
|
4550 |
+results_h=getfield(get(pre_h,'UserData'),'results_h'); |
|
4551 |
+selected=getfield(get(pre_h,'UserData'),'selected_vects'); |
|
4552 |
+sData=getfield(get(pre_h,'UserData'),'sData'); |
|
4553 |
+ |
|
4554 |
+if length(get_indices) < 2 |
|
4555 |
+ errordlg('There must be two components chosen for Correlation'); |
|
4556 |
+else |
|
4557 |
+ indices=getfield(get_indices,{1:2}); |
|
4558 |
+ data=sData.data(selected,indices); |
|
4559 |
+ inds=find(~isnan(data(:,1)) & ~isnan(data(:,2))); |
|
4560 |
+ value=getfield(corrcoef(data(inds,1),data(inds,2)),{1,2}); |
|
4561 |
+ names=sData.comp_names(indices); |
|
4562 |
+ string{1}='Correlation between'; |
|
4563 |
+ string{2}=cat(2,names{1},' and ',names{2},':'); |
|
4564 |
+ string{3}=sprintf('%-10.3g',value); |
|
4565 |
+ |
|
4566 |
+ set(results_h,'String',string); |
|
4567 |
+ set(results_h,'HorizontalAlignment','left'); |
|
4568 |
+ if ~LOG |
|
4569 |
+ data=get(pre_h,'UserData'); |
|
4570 |
+ data.LOG{length(data.LOG)+1}='% Correlation'; |
|
4571 |
+ data.LOG{length(data.LOG)+1}='preprocess(''corr'',''foo'');'; |
|
4572 |
+ set(pre_h,'UserData',data); |
|
4573 |
+ end |
|
4574 |
+end |
|
4575 |
+ |
|
4576 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
4577 |
+ |
|
4578 |
+%%% Subfunction: unit_length %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
4579 |
+ |
|
4580 |
+function unit_length(varargin) |
|
4581 |
+ |
|
4582 |
+%UNIT_LENGTH A callback function Scales all the vectors to the unit |
|
4583 |
+% length. |
|
4584 |
+% |
|
4585 |
+% |
|
4586 |
+ |
|
4587 |
+if nargin==1 |
|
4588 |
+ LOG=1; |
|
4589 |
+else |
|
4590 |
+ LOG=0; |
|
4591 |
+end |
|
4592 |
+ |
|
4593 |
+vect_mean_h=getfield(get(gcf,'UserData'),'vect_mean_h'); |
|
4594 |
+sData=getfield(get(gcf,'UserData'),'sData'); |
|
4595 |
+sData.MODIFIED=1; |
|
4596 |
+scaled=sData.data; |
|
4597 |
+comp_names_h=getfield(get(gcf,'UserData'),'comp_names_h'); |
|
4598 |
+ |
|
4599 |
+if ~LOG & isempty(get(comp_names_h,'Value')) |
|
4600 |
+ errordlg('There must be components chosen for the ''unit length''- operation'); |
|
4601 |
+ return; |
|
4602 |
+end |
|
4603 |
+inds=get_indices; |
|
4604 |
+for i=1:length(scaled(:,1)); |
|
4605 |
+ x=find(~isnan(scaled(i,inds))); |
|
4606 |
+ scaled(i,inds(x))=(1/sqrt(sum(scaled(i,inds(x)).^2)))*scaled(i,inds(x)); |
|
4607 |
+end |
|
4608 |
+ |
|
4609 |
+data=get(gcf,'UserData'); |
|
4610 |
+ |
|
4611 |
+ |
|
4612 |
+data.undo.sData = sData; |
|
4613 |
+data.sData.data=scaled; |
|
4614 |
+ |
|
4615 |
+for i=1:length(inds) |
|
4616 |
+ data.sData.comp_norm{inds(i)}=[]; |
|
4617 |
+end |
|
4618 |
+ |
|
4619 |
+if ~LOG |
|
4620 |
+ data.LOG{length(data.LOG)+1}='% Unit length'; |
|
4621 |
+ data.LOG{length(data.LOG)+1}='preprocess(''unit'',''foo'');'; |
|
4622 |
+end |
|
4623 |
+set(gcf,'UserData',data); |
|
4624 |
+ |
|
4625 |
+vects=zeros(1,length(sData.data(:,1))); |
|
4626 |
+vects(data.selected_vects)=1; |
|
4627 |
+ |
|
4628 |
+draw_vectors(vects,data.vector_h); |
|
4629 |
+vect_means(sData,vect_mean_h,data.selected_vects); |
|
4630 |
+cplot_mimema; |
|
4631 |
+plot_hist; |
|
4632 |
+ |
|
4633 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
4634 |
+ |
|
4635 |
+%%% Subfunction: one_of_n %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
4636 |
+ |
|
4637 |
+function one_of_n(varargin) |
|
4638 |
+ |
|
4639 |
+if nargin==1 |
|
4640 |
+ LOG=1; |
|
4641 |
+else |
|
4642 |
+ LOG=0; |
|
4643 |
+end |
|
4644 |
+ |
|
4645 |
+data=get(gcf,'UserData'); |
|
4646 |
+vector_h=getfield(get(gcf,'Userdata'),'vector_h'); |
|
4647 |
+comp_names_h=getfield(get(gcf,'Userdata'),'comp_names_h'); |
|
4648 |
+vect_mean_h=getfield(get(gcf,'UserData'),'vect_mean_h'); |
|
4649 |
+sData=data.sData; |
|
4650 |
+undo=data.sData; |
|
4651 |
+selected=getfield(get(gcf,'UserData'),'selected_vects'); |
|
4652 |
+msg='Creating over 10 new components. Stop operation?'; |
|
4653 |
+ |
|
4654 |
+if ~LOG |
|
4655 |
+ if isempty(get(data.comp_names_h,'Value')) |
|
4656 |
+ errordlg('There must be one component chosen for ''Add: N binary types'' -operation'); |
|
4657 |
+ return; |
|
4658 |
+ end |
|
4659 |
+end |
|
4660 |
+ |
|
4661 |
+index=getfield(get_indices,{1}); |
|
4662 |
+ |
|
4663 |
+tmp=unique(sData.data(:,index)); |
|
4664 |
+n=length(tmp); |
|
4665 |
+ |
|
4666 |
+if ~LOG |
|
4667 |
+ if n>10 |
|
4668 |
+ answer=questdlg(msg,'Question','Yes','No','Yes'); |
|
4669 |
+ |
|
4670 |
+ if strcmp(answer,'Yes') |
|
4671 |
+ msgbox('Operation stopped.'); |
|
4672 |
+ return; |
|
4673 |
+ end |
|
4674 |
+ |
|
4675 |
+ end |
|
4676 |
+end |
|
4677 |
+ |
|
4678 |
+dim1=getfield(size(sData.data),{1}); |
|
4679 |
+dim2=getfield(size(sData.data),{2}); |
|
4680 |
+sData.data=cat(2,sData.data,zeros(dim1,n)); |
|
4681 |
+ |
|
4682 |
+dim=dim2+n; |
|
4683 |
+for i=1:n |
|
4684 |
+ sData.data(:,dim-(n-i))=(sData.data(:,index) == tmp(i)); |
|
4685 |
+end |
|
4686 |
+ |
|
4687 |
+INDEX=sData.INDEX; |
|
4688 |
+for i=1:n |
|
4689 |
+ sData.comp_names{dim2+i}=sprintf('%dNewVar',dim2+i); |
|
4690 |
+end |
|
4691 |
+tmp_norm=cat(1,sData.comp_norm,cell(n,1)); |
|
4692 |
+sData=som_data_struct(sData.data,... |
|
4693 |
+ 'name',sData.name,... |
|
4694 |
+ 'labels',sData.labels,... |
|
4695 |
+ 'comp_names',sData.comp_names); |
|
4696 |
+ |
|
4697 |
+sData.MODIFIED=1; |
|
4698 |
+sData.INDEX=INDEX; |
|
4699 |
+sData.comp_norm=tmp_norm; |
|
4700 |
+data.undo.sData=undo; |
|
4701 |
+data.sData=sData; |
|
4702 |
+data.selected_vects=1:length(sData.data(:,1)); |
|
4703 |
+if ~LOG |
|
4704 |
+ data.LOG{length(data.LOG)+1}='% Add: N binary types'; |
|
4705 |
+ data.LOG{length(data.LOG)+1}='preprocess(''oneo'',''foo'');'; |
|
4706 |
+end |
|
4707 |
+set(gcf,'UserData',data); |
|
4708 |
+clear_button; |
|
4709 |
+write_sD_stats; |
|
4710 |
+set_compnames(sData,comp_names_h); |
|
4711 |
+tmp=ones(1,length(sData.data(:,1))); |
|
4712 |
+draw_vectors(tmp,vector_h); |
|
4713 |
+vect_means(sData,vect_mean_h,1:length(sData.data(:,1))); |
|
4714 |
+cplot_mimema; |
|
4715 |
+sel_comp; |
|
4716 |
+ |
|
4717 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
4718 |
+ |
|
4719 |
+%%% Subfunction: add_zeros %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
4720 |
+ |
|
4721 |
+function add_zeros(varargin) |
|
4722 |
+ |
|
4723 |
+if nargin == 1 |
|
4724 |
+ LOG=1; |
|
4725 |
+else |
|
4726 |
+ LOG=0; |
|
4727 |
+end |
|
4728 |
+ |
|
4729 |
+data=get(gcf,'UserData'); |
|
4730 |
+vector_h=getfield(get(gcf,'Userdata'),'vector_h'); |
|
4731 |
+comp_names_h=getfield(get(gcf,'Userdata'),'comp_names_h'); |
|
4732 |
+vect_mean_h=getfield(get(gcf,'UserData'),'vect_mean_h'); |
|
4733 |
+sData=data.sData; |
|
4734 |
+undo=sData; |
|
4735 |
+ |
|
4736 |
+dim1=getfield(size(sData.data),{1}); |
|
4737 |
+dim2=getfield(size(sData.data),{2}); |
|
4738 |
+sData.data=cat(2,sData.data,zeros(dim1,1)); |
|
4739 |
+ |
|
4740 |
+INDEX=sData.INDEX; |
|
4741 |
+ |
|
4742 |
+sData.comp_names{dim2+1}=sprintf('%dNewVar',dim2+1); |
|
4743 |
+tmp_norm=cat(1,sData.comp_norm,cell(1,1)); |
|
4744 |
+sData=som_data_struct(sData.data,... |
|
4745 |
+ 'name',sData.name,... |
|
4746 |
+ 'labels',sData.labels,... |
|
4747 |
+ 'comp_names',sData.comp_names); |
|
4748 |
+ |
|
4749 |
+sData.MODIFIED=1; |
|
4750 |
+sData.INDEX=INDEX; |
|
4751 |
+sData.comp_norm=tmp_norm; |
|
4752 |
+data.sData=sData; |
|
4753 |
+data.undo.sData=undo; |
|
4754 |
+data.selected_vects=1:length(sData.data(:,1)); |
|
4755 |
+if ~LOG |
|
4756 |
+ data.LOG{length(data.LOG)+1}='% Add: zeros'; |
|
4757 |
+ data.LOG{length(data.LOG)+1}='preprocess(''zero'',''foo'');'; |
|
4758 |
+end |
|
4759 |
+set(gcf,'UserData',data); |
|
4760 |
+clear_button; |
|
4761 |
+write_sD_stats; |
|
4762 |
+set_compnames(sData,comp_names_h); |
|
4763 |
+tmp=ones(1,length(sData.data(:,1))); |
|
4764 |
+draw_vectors(tmp,vector_h); |
|
4765 |
+vect_means(sData,vect_mean_h,1:length(sData.data(:,1))); |
|
4766 |
+cplot_mimema; |
|
4767 |
+sel_comp; |
|
4768 |
+ |
|
4769 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
4770 |
+ |
|
4771 |
+%%% Subfunction: move_component %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
4772 |
+ |
|
4773 |
+function move_component(varargin) |
|
4774 |
+ |
|
4775 |
+%MOVE_COMPONENT A callback function. Moves one component of vectors to |
|
4776 |
+% the position wanted. |
|
4777 |
+% |
|
4778 |
+% |
|
4779 |
+ |
|
4780 |
+if nargin == 1 |
|
4781 |
+ LOG=1; |
|
4782 |
+ i=1; |
|
4783 |
+ while varargin{1}(i) ~= ' ' |
|
4784 |
+ value(i)=varargin{1}(i); |
|
4785 |
+ i=i+1; |
|
4786 |
+ end |
|
4787 |
+ value=str2num(value); % the new place |
|
4788 |
+ index=str2num(varargin{1}(i:length(varargin{1}))); % index of the chosen |
|
4789 |
+ % component |
|
4790 |
+else |
|
4791 |
+ LOG=0; |
|
4792 |
+end |
|
4793 |
+ |
|
4794 |
+data=get(gcf,'UserData'); |
|
4795 |
+sData=data.sData; |
|
4796 |
+undo=sData; |
|
4797 |
+prompt='Enter the number of the new component place:'; |
|
4798 |
+ |
|
4799 |
+ |
|
4800 |
+if isempty(get(data.comp_names_h,'Value')) |
|
4801 |
+ errordlg('There must be one component chosen for ''Move Component''-operation'); |
|
4802 |
+ return; |
|
4803 |
+end |
|
4804 |
+ |
|
4805 |
+if ~LOG |
|
4806 |
+ index=getfield(get_indices,{1}); |
|
4807 |
+ answer=inputdlg(prompt); |
|
4808 |
+ |
|
4809 |
+ if isempty(answer) | (iscell(answer) & isempty(answer{1})) |
|
4810 |
+ msgbox('No components moved'); |
|
4811 |
+ return; |
|
4812 |
+ end |
|
4813 |
+ |
|
4814 |
+ value=str2num(answer{1}); |
|
4815 |
+ |
|
4816 |
+ |
|
4817 |
+ dims=size(value); |
|
4818 |
+ |
|
4819 |
+ if dims(1) ~= 1 | dims(2) ~= 1 | ~isreal(value) |
|
4820 |
+ errordlg('The new component place must be positive integer.') |
|
4821 |
+ return; |
|
4822 |
+ end |
|
4823 |
+ |
|
4824 |
+ if value <= 0 | round(value) ~= value |
|
4825 |
+ errordlg('The new component place must be positive integer.'); |
|
4826 |
+ return; |
|
4827 |
+ end |
|
4828 |
+ |
|
4829 |
+ if value > getfield(size(sData.data),{2}) |
|
4830 |
+ errordlg('Too big value for the new component place.'); |
|
4831 |
+ return; |
|
4832 |
+ end |
|
4833 |
+end |
|
4834 |
+ |
|
4835 |
+sData.MODIFIED=1; |
|
4836 |
+if index < value |
|
4837 |
+ indices1=setdiff(1:value,index); |
|
4838 |
+ indices2=setdiff(value+1:length(sData.data(1,:)),index); |
|
4839 |
+elseif index > value |
|
4840 |
+ indices1=setdiff(1:value-1,index); |
|
4841 |
+ indices2=setdiff(value:length(sData.data(1,:)),index); |
|
4842 |
+else |
|
4843 |
+ data.sData=sData; |
|
4844 |
+ data.undo.sData=undo; |
|
4845 |
+ set(gcf,'UserData',data); |
|
4846 |
+ return; |
|
4847 |
+end |
|
4848 |
+ |
|
4849 |
+tmp1=sData.data(:,indices1); |
|
4850 |
+tmp2=sData.data(:,indices2); |
|
4851 |
+sData.data=cat(2,tmp1,sData.data(:,index),tmp2); |
|
4852 |
+ |
|
4853 |
+tmp1=sData.comp_names(indices1); |
|
4854 |
+tmp2=sData.comp_names(indices2); |
|
4855 |
+sData.comp_names=cat(1,tmp1,sData.comp_names(index),tmp2); |
|
4856 |
+ |
|
4857 |
+tmp1=sData.comp_norm(indices1); |
|
4858 |
+tmp2=sData.comp_norm(indices2); |
|
4859 |
+sData.comp_norm=cat(1,tmp1,sData.comp_norm(index),tmp2); |
|
4860 |
+ |
|
4861 |
+data.sData=sData; |
|
4862 |
+data.undo.sData=undo; |
|
4863 |
+if ~LOG |
|
4864 |
+ data.LOG{length(data.LOG)+1}='% Move component.'; |
|
4865 |
+ data.LOG{length(data.LOG)+1}=sprintf('preprocess(''move'',''%s %s'');',... |
|
4866 |
+ num2str(value),num2str(index)); |
|
4867 |
+end |
|
4868 |
+comp_names_h=getfield(get(gcf,'UserData'),'comp_names_h'); |
|
4869 |
+vect_mean_h=getfield(get(gcf,'UserData'),'vect_mean_h'); |
|
4870 |
+vector_h=getfield(get(gcf,'UserData'),'vector_h'); |
|
4871 |
+data.selected_vects=1:length(sData.data(:,1)); |
|
4872 |
+set(gcf,'UserData',data); |
|
4873 |
+clear_button; |
|
4874 |
+set_compnames(sData,comp_names_h); |
|
4875 |
+draw_vectors(ones(1,length(sData.data(:,1))),vector_h); |
|
4876 |
+vect_means(sData,vect_mean_h,data.selected_vects); |
|
4877 |
+cplot_mimema; |
|
4878 |
+sel_comp; |
|
4879 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
4880 |
+ |
|
4881 |
+%%% Subfunction: copy_component %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
4882 |
+ |
|
4883 |
+function copy_component(varargin) |
|
4884 |
+ |
|
4885 |
+%COPY_COMPONENT Copies one component of vectors to the position wanted. |
|
4886 |
+% |
|
4887 |
+% |
|
4888 |
+ |
|
4889 |
+if nargin == 1 |
|
4890 |
+ LOG=1; |
|
4891 |
+ i=1; |
|
4892 |
+ while varargin{1}(i) ~= ' ' |
|
4893 |
+ value(i)=varargin{1}(i); |
|
4894 |
+ i=i+1; |
|
4895 |
+ end |
|
4896 |
+ value=str2num(value); % the new place |
|
4897 |
+ index=str2num(varargin{1}(i:length(varargin{1}))); % index of the chosen |
|
4898 |
+ % component |
|
4899 |
+else |
|
4900 |
+ LOG=0; |
|
4901 |
+end |
|
4902 |
+ |
|
4903 |
+ |
|
4904 |
+data=get(gcf,'UserData'); |
|
4905 |
+sData=data.sData; |
|
4906 |
+undo=sData; |
|
4907 |
+if ~LOG |
|
4908 |
+ prompt='Enter the number of the new component place:'; |
|
4909 |
+ |
|
4910 |
+ |
|
4911 |
+ if isempty(get(data.comp_names_h,'Value')) |
|
4912 |
+ errordlg('There must be one component chosen for ''Copy Component''-operation'); |
|
4913 |
+ return; |
|
4914 |
+ end |
|
4915 |
+ |
|
4916 |
+ index=getfield(get_indices,{1}); |
|
4917 |
+ answer=inputdlg(prompt); |
|
4918 |
+ |
|
4919 |
+ if isempty(answer) | (iscell(answer) & isempty(answer{1})) |
|
4920 |
+ msgbox('No components moved'); |
|
4921 |
+ return |
|
4922 |
+ end |
|
4923 |
+ |
|
4924 |
+ |
|
4925 |
+ value=str2num(answer{1}); |
|
4926 |
+ dims=size(value); |
|
4927 |
+ |
|
4928 |
+ if dims(1) ~= 1 | dims(2) ~= 1 | ~isreal(value) |
|
4929 |
+ errordlg('The new component place must be positive integer.') |
|
4930 |
+ return; |
|
4931 |
+ end |
|
4932 |
+ |
|
4933 |
+ if value <= 0 | round(value) ~= value |
|
4934 |
+ errordlg('The new component place must be positive integer.'); |
|
4935 |
+ return; |
|
4936 |
+ end |
|
4937 |
+ |
|
4938 |
+ if value > getfield(size(sData.data),{2}) + 1 |
|
4939 |
+ errordlg('Too big value for the new component place.'); |
|
4940 |
+ return; |
|
4941 |
+ end |
|
4942 |
+end |
|
4943 |
+ |
|
4944 |
+sData.MODIFIED=1; |
|
4945 |
+ |
|
4946 |
+indices1=1:value-1; |
|
4947 |
+indices2=value:length(sData.data(1,:)); |
|
4948 |
+tmp1=sData.data(:,indices1); |
|
4949 |
+tmp2=sData.data(:,indices2); |
|
4950 |
+sData.data=cat(2,tmp1,sData.data(:,index),tmp2); |
|
4951 |
+ |
|
4952 |
+tmp1=sData.comp_names(indices1); |
|
4953 |
+tmp2=sData.comp_names(indices2); |
|
4954 |
+name=cell(1,1); |
|
4955 |
+name{1}=cat(2,'Copied',sData.comp_names{index}); |
|
4956 |
+sData.comp_names=cat(1,tmp1,name,tmp2); |
|
4957 |
+ |
|
4958 |
+tmp1=sData.comp_norm(indices1); |
|
4959 |
+tmp2=sData.comp_norm(indices2); |
|
4960 |
+norm=cell(1,1); |
|
4961 |
+norm{1}=sData.comp_norm{index}; |
|
4962 |
+sData.comp_norm=cat(1,tmp1,norm,tmp2); |
|
4963 |
+ |
|
4964 |
+data.sData=sData; |
|
4965 |
+data.undo.sData=undo; |
|
4966 |
+if ~LOG |
|
4967 |
+ data.LOG{length(data.LOG)+1}='% Copy component'; |
|
4968 |
+ data.LOG{length(data.LOG)+1}=sprintf('preprocess(''copy'',''%s %s'');',... |
|
4969 |
+ num2str(value),num2str(index)); |
|
4970 |
+end |
|
4971 |
+ |
|
4972 |
+ |
|
4973 |
+comp_names_h=getfield(get(gcf,'UserData'),'comp_names_h'); |
|
4974 |
+vect_mean_h=getfield(get(gcf,'UserData'),'vect_mean_h'); |
|
4975 |
+vector_h=getfield(get(gcf,'UserData'),'vector_h'); |
|
4976 |
+data.selected_vects=1:length(sData.data(:,1)); |
|
4977 |
+set(gcf,'UserData',data); |
|
4978 |
+clear_button; |
|
4979 |
+write_sD_stats; |
|
4980 |
+set_compnames(sData,comp_names_h); |
|
4981 |
+draw_vectors(ones(1,length(sData.data(:,1))),vector_h); |
|
4982 |
+vect_means(sData,vect_mean_h,data.selected_vects); |
|
4983 |
+cplot_mimema; |
|
4984 |
+sel_comp; |
|
4985 |
+ |
|
4986 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
4987 |
+ |
|
4988 |
+%%% Subfunction: remove_component %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
4989 |
+ |
|
4990 |
+function remove_component(varargin) |
|
4991 |
+ |
|
4992 |
+if nargin == 1 |
|
4993 |
+ LOG=1; |
|
4994 |
+ value=str2num(varargin{1}); |
|
4995 |
+else |
|
4996 |
+ LOG=0; |
|
4997 |
+end |
|
4998 |
+ |
|
4999 |
+data=get(gcf,'UserData'); |
|
5000 |
+vect_mean_h=getfield(get(gcf,'UserData'),'vect_mean_h'); |
|
5001 |
+vector_h=getfield(get(gcf,'UserData'),'vector_h'); |
|
5002 |
+comp_names_h=getfield(get(gcf,'UserData'),'comp_names_h'); |
|
5003 |
+sData=data.sData; |
|
5004 |
+undo=sData; |
|
5005 |
+prompt='Enter the number of component to be removed.'; |
|
5006 |
+dim=length(sData.data(1,:)); |
|
5007 |
+ |
|
5008 |
+if ~LOG |
|
5009 |
+ answer=inputdlg(prompt); |
|
5010 |
+ |
|
5011 |
+ if isempty(answer) | (iscell(answer) & isempty(answer{1})) |
|
5012 |
+ msgbox('Components not removed.'); |
|
5013 |
+ return; |
|
5014 |
+ end |
|
5015 |
+ |
|
5016 |
+ value=str2num(answer{1}); |
|
5017 |
+ dims=size(value); |
|
5018 |
+ |
|
5019 |
+ if dims(1) ~= 1 | dims(2) ~= 1 | ~isreal(value) |
|
5020 |
+ errordlg('Number of the component to be removed must be positive integer.') |
|
5021 |
+ return; |
|
5022 |
+ end |
|
5023 |
+ |
|
5024 |
+ if value <= 0 | round(value) ~= value |
|
5025 |
+ errordlg('Number of the component to be removed must be positive integer.'); |
|
5026 |
+ return; |
|
5027 |
+ end |
|
5028 |
+ |
|
5029 |
+ if value > getfield(size(sData.data),{2}) |
|
5030 |
+ errordlg('There are less components.'); |
|
5031 |
+ return; |
|
5032 |
+ end |
|
5033 |
+end |
|
5034 |
+ |
|
5035 |
+sD_set_h=getfield(get(gcf,'UserData'),'sD_set_h'); |
|
5036 |
+index=get(sD_set_h,'Value'); |
|
5037 |
+if value == 1 & getfield(size(sData.data),{2}) == 1 |
|
5038 |
+ if length(get(sD_set_h,'String')) == 1 |
|
5039 |
+ msgbox('No data left. Closing program...') |
|
5040 |
+ pro_tools('close'); |
|
5041 |
+ return; |
|
5042 |
+ end |
|
5043 |
+ |
|
5044 |
+ set1=data.sD_set(1:index-1); |
|
5045 |
+ set2=data.sD_set(index+1:length(data.sD_set)); |
|
5046 |
+ data.sD_set=[set1 set2]; |
|
5047 |
+ set(gcf,'UserData',data); |
|
5048 |
+ |
|
5049 |
+ set_sD_stats; |
|
5050 |
+ sel_sD; |
|
5051 |
+ data=get(gcf,'UserData'); |
|
5052 |
+ data.undo.sData=undo; |
|
5053 |
+ data.undo.index=index; |
|
5054 |
+ set(gcf,'UserData',data); |
|
5055 |
+ return; |
|
5056 |
+end |
|
5057 |
+dims=size(sData.data); |
|
5058 |
+tmp_data=cat(2,sData.data(:,1:value-1),sData.data(:,value+1:dims(2))); |
|
5059 |
+tmp_norm=cat(1,sData.comp_norm(1:value-1),sData.comp_norm(value+1:dims(2))); |
|
5060 |
+names=cat(1,sData.comp_names(1:value-1),sData.comp_names(value+1:dims(2))); |
|
5061 |
+INDEX=sData.INDEX; |
|
5062 |
+comp_norm=sData.comp_norm; |
|
5063 |
+sData=som_data_struct(tmp_data,... |
|
5064 |
+ 'name',sData.name,... |
|
5065 |
+ 'labels',sData.labels,... |
|
5066 |
+ 'comp_names',names); |
|
5067 |
+sData.comp_norm=tmp_norm; |
|
5068 |
+sData.MODIFIED=1; |
|
5069 |
+sData.INDEX=INDEX; |
|
5070 |
+data=get(gcf,'UserData'); |
|
5071 |
+data.sData=sData; |
|
5072 |
+data.undo.sData=undo; |
|
5073 |
+data.selected_vects=1:length(sData.data(:,1)); |
|
5074 |
+if ~LOG |
|
5075 |
+ data.LOG{length(data.LOG)+1}='% Remove component'; |
|
5076 |
+ data.LOG{length(data.LOG)+1}=sprintf('preprocess(''remove'',''%s'');',... |
|
5077 |
+ answer{1}); |
|
5078 |
+end |
|
5079 |
+set(gcf,'UserData',data); |
|
5080 |
+clear_button; |
|
5081 |
+write_sD_stats; |
|
5082 |
+set_compnames(sData,comp_names_h); |
|
5083 |
+tmp=ones(1,length(sData.data(:,1))); |
|
5084 |
+draw_vectors(tmp,vector_h); |
|
5085 |
+vect_means(sData,vect_mean_h,1:length(sData.data(:,1))); |
|
5086 |
+cplot_mimema; |
|
5087 |
+sel_comp; |
|
5088 |
+ |
|
5089 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
5090 |
+ |
|
5091 |
+%%% Subfunction: remove_vects %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
5092 |
+ |
|
5093 |
+function remove_vects(varargin) |
|
5094 |
+ |
|
5095 |
+if nargin==1 |
|
5096 |
+ LOG=1; |
|
5097 |
+ tmp_str=varargin{1}; |
|
5098 |
+else |
|
5099 |
+ LOG=0; |
|
5100 |
+ tmp_str='_foo'; |
|
5101 |
+end |
|
5102 |
+data=get(gcf,'UserData'); |
|
5103 |
+vect_mean_h=data.vect_mean_h; |
|
5104 |
+vector_h=data.vector_h; |
|
5105 |
+sData=data.sData; |
|
5106 |
+undo=sData; |
|
5107 |
+ |
|
5108 |
+if length(data.selected_vects) == getfield(size(sData.data),{1}) |
|
5109 |
+ if LOG |
|
5110 |
+ answer='Yes'; |
|
5111 |
+ else |
|
5112 |
+ answer=questdlg('Do you want to delete this data set?'); |
|
5113 |
+ end |
|
5114 |
+ if strcmp(answer,'No') |
|
5115 |
+ return; |
|
5116 |
+ else |
|
5117 |
+ index=get(data.sD_set_h,'Value'); |
|
5118 |
+ if length(get(data.sD_set_h,'String')) == 1 |
|
5119 |
+ msgbox('No data left. Closing program...') |
|
5120 |
+ pro_tools('close'); |
|
5121 |
+ return; |
|
5122 |
+ end |
|
5123 |
+ |
|
5124 |
+ set1=data.sD_set(1:index-1); |
|
5125 |
+ set2=data.sD_set(index+1:length(data.sD_set)); |
|
5126 |
+ data.sD_set=[set1 set2]; |
|
5127 |
+ set(gcf,'UserData',data); |
|
5128 |
+ |
|
5129 |
+ set(data.sD_set_h,'Value',1); |
|
5130 |
+ set_sD_stats; |
|
5131 |
+ sel_sD; |
|
5132 |
+ data=get(gcf,'UserData'); |
|
5133 |
+ data.undo.sData=undo; |
|
5134 |
+ data.undo.index=index; |
|
5135 |
+ if ~LOG |
|
5136 |
+ data.LOG{length(data.LOG)+1}='% Remove selected vectors'; |
|
5137 |
+ data.LOG{length(data.LOG)+1}=cat(2,'preprocess(''remove_vects'',''',... |
|
5138 |
+ tmp_str,''');'); |
|
5139 |
+ end |
|
5140 |
+ set(gcf,'UserData',data); |
|
5141 |
+ return; |
|
5142 |
+ end |
|
5143 |
+end |
|
5144 |
+ |
|
5145 |
+tmp=sData.data(data.selected_vects,:); |
|
5146 |
+if ~LOG |
|
5147 |
+ answer=questdlg('Do you want to save removed values to workspace?'); |
|
5148 |
+else |
|
5149 |
+ if ~strcmp(tmp_str,'_foo') |
|
5150 |
+ answer='Yes'; |
|
5151 |
+ else |
|
5152 |
+ answer='No'; |
|
5153 |
+ end |
|
5154 |
+end |
|
5155 |
+old=gcf; |
|
5156 |
+if strcmp(answer,'Yes') |
|
5157 |
+ if ~LOG |
|
5158 |
+ answer=inputdlg('Give the name of the output -variable.'); |
|
5159 |
+ else |
|
5160 |
+ answer={tmp_str}; |
|
5161 |
+ end |
|
5162 |
+ if isvalid_var_name(answer) |
|
5163 |
+ assignin('base',answer{1},tmp); |
|
5164 |
+ disp(sprintf('Removed values are set to workspace as''%s''.',answer{1})); |
|
5165 |
+ tmp_str=answer{1}; |
|
5166 |
+ end |
|
5167 |
+end |
|
5168 |
+set(0,'CurrentFigure',old); |
|
5169 |
+sData.data(data.selected_vects,:)=[]; |
|
5170 |
+sData.labels(data.selected_vects,:)=[]; |
|
5171 |
+sData.MODIFIED=1; |
|
5172 |
+data.sData=sData; |
|
5173 |
+data.selected=1:length(sData.data(:,1)); |
|
5174 |
+data.undo.sData=undo; |
|
5175 |
+if ~LOG |
|
5176 |
+ data.LOG{length(data.LOG)}='% Remove selected vectors'; |
|
5177 |
+ data.LOG{length(data.LOG)+1}=cat(2,'preprocess(''remove_vects'',''',... |
|
5178 |
+ tmp_str,''');'); |
|
5179 |
+end |
|
5180 |
+set(gcf,'UserData',data); |
|
5181 |
+ |
|
5182 |
+ |
|
5183 |
+draw_vectors(ones(1,length(data.selected)),data.vector_h); |
|
5184 |
+write_sD_stats; |
|
5185 |
+select_all('foo'); |
|
5186 |
+ |
|
5187 |
+ |
|
5188 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
5189 |
+ |
|
5190 |
+ |
|
5191 |
+ |
|
5192 |
+ |
|
5193 |
+%%% Subfunction: eval1 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
5194 |
+ |
|
5195 |
+function eval1(varargin); |
|
5196 |
+ |
|
5197 |
+if nargin == 1 |
|
5198 |
+ answer=varargin |
|
5199 |
+ LOG=1; |
|
5200 |
+else |
|
5201 |
+ LOG=0; |
|
5202 |
+end |
|
5203 |
+ |
|
5204 |
+pre_h=findobj(get(0,'Children'),'Tag','Preprocess'); |
|
5205 |
+if isempty(pre_h) |
|
5206 |
+ errordlg('''Preprocess''-figure does not exist. Terminating program...'); |
|
5207 |
+ pro_tools('close'); |
|
5208 |
+ return; |
|
5209 |
+end |
|
5210 |
+ |
|
5211 |
+undo=getfield(get(pre_h,'UserData'),'sData'); |
|
5212 |
+ |
|
5213 |
+if ~LOG |
|
5214 |
+ prompt={'Enter the expression to be evaluated.',... |
|
5215 |
+ 'Enter the inverse normalization method (optional).'}; |
|
5216 |
+ title='Single component eval.'; |
|
5217 |
+ answer= inputdlg(prompt,title,1); |
|
5218 |
+end |
|
5219 |
+ |
|
5220 |
+if ~isempty(answer) |
|
5221 |
+ tmp=[]; |
|
5222 |
+ if ~isempty(answer{1}) |
|
5223 |
+ [tmp,method]=build_expr(answer{1},'single'); |
|
5224 |
+ if ~isstr(tmp) |
|
5225 |
+ sData=getfield(get(gcf,'UserData'),'sData'); |
|
5226 |
+ tmp='Done.'; |
|
5227 |
+ %if ~isempty(answer{2}) |
|
5228 |
+ % sN=som_norm_struct('eval',{method,answer{2}}); |
|
5229 |
+ %else |
|
5230 |
+ % sN=som_norm_struct('eval',{method}); |
|
5231 |
+ %end |
|
5232 |
+ %sN=som_set(sN,'status','done'); |
|
5233 |
+ params={answer{1};answer{2}}; |
|
5234 |
+ ind=getfield(get_indices,{1}); |
|
5235 |
+ x.type=''; |
|
5236 |
+ x.method='eval'; |
|
5237 |
+ x.params={answer{1};answer{2}}; |
|
5238 |
+ x.status=''; |
|
5239 |
+ sData.comp_norm{ind}=x; |
|
5240 |
+ data=get(gcf,'UserData'); |
|
5241 |
+ data.undo.sData=undo; |
|
5242 |
+ data.sData=sData; |
|
5243 |
+ if ~LOG |
|
5244 |
+ data.LOG{length(data.LOG)+1}='% Eval (1-comp)'; |
|
5245 |
+ data.LOG{length(data.LOG)+1}=cat(2,'preprocess eval1 ',... |
|
5246 |
+ sprintf('{''%s'' ''%s''};',answer{1},answer{2})); |
|
5247 |
+ end |
|
5248 |
+ set(pre_h,'UserData',data); |
|
5249 |
+ |
|
5250 |
+ end |
|
5251 |
+ end |
|
5252 |
+ set(getfield(get(pre_h,'UserData'),'results_h'),'String',tmp); |
|
5253 |
+end |
|
5254 |
+ |
|
5255 |
+ |
|
5256 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
5257 |
+ |
|
5258 |
+%%% Subfunction: eval2 |
|
5259 |
+ |
|
5260 |
+function eval2(varargin) |
|
5261 |
+ |
|
5262 |
+if nargin == 1 |
|
5263 |
+ answer=varargin{1}; |
|
5264 |
+ LOG=1; |
|
5265 |
+else |
|
5266 |
+ LOG=0; |
|
5267 |
+end |
|
5268 |
+ |
|
5269 |
+undo=getfield(get(gcf,'UserData'),'sData'); |
|
5270 |
+pre_h=findobj(get(0,'Children'),'Tag','Preprocess'); |
|
5271 |
+ |
|
5272 |
+if isempty(pre_h) |
|
5273 |
+ errordlg('''Preprocess''-figure does not exist. Terminating program.'); |
|
5274 |
+ pro_tools('close'); |
|
5275 |
+ return; |
|
5276 |
+end |
|
5277 |
+ |
|
5278 |
+if ~LOG |
|
5279 |
+ prompt='Enter the expression to be evaluated.'; |
|
5280 |
+ title ='Eval'; |
|
5281 |
+ answer=inputdlg(prompt,title,1); |
|
5282 |
+end |
|
5283 |
+ |
|
5284 |
+if ~isempty(answer) & ~isempty(answer{1}) |
|
5285 |
+ str=answer{1}; |
|
5286 |
+ [answer,foo]=build_expr(answer{1},'multiple'); |
|
5287 |
+ if ~isstr(answer) |
|
5288 |
+ |
|
5289 |
+ answer='Done.'; |
|
5290 |
+ data=get(gcf,'UserData'); |
|
5291 |
+ data.undo.sData=undo; |
|
5292 |
+ if ~LOG |
|
5293 |
+ data.LOG{length(data.LOG)+1}='% Eval'; |
|
5294 |
+ data.LOG{length(data.LOG)+1}=cat(2,'preprocess(''eval2'',',... |
|
5295 |
+ sprintf('{''%s''});',str)); |
|
5296 |
+ end |
|
5297 |
+ set(gcf,'UserData',data); |
|
5298 |
+ end |
|
5299 |
+end |
|
5300 |
+ |
|
5301 |
+set(getfield(get(pre_h,'UserData'),'results_h'),'String',answer); |
|
5302 |
+ |
|
5303 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
5304 |
+ |
|
5305 |
+%%% Subfunction: zero2one_scale %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
5306 |
+ |
|
5307 |
+function zero2one_scale(varargin) |
|
5308 |
+ |
|
5309 |
+if nargin == 1 |
|
5310 |
+ LOG=1; |
|
5311 |
+else |
|
5312 |
+ LOG=0; |
|
5313 |
+end |
|
5314 |
+ |
|
5315 |
+ |
|
5316 |
+data=get(gcf,'UserData'); |
|
5317 |
+sData=data.sData; |
|
5318 |
+undo=sData; |
|
5319 |
+INDEX=sData.INDEX; |
|
5320 |
+sData=rmfield(sData,[{'INDEX'};{'MODIFIED'}]); |
|
5321 |
+ |
|
5322 |
+if isempty(get(data.comp_names_h,'Value')) |
|
5323 |
+ errordlg('There must be components chosen for scaling.'); |
|
5324 |
+ return; |
|
5325 |
+end |
|
5326 |
+ |
|
5327 |
+sData=som_normalize(sData,'range',get_indices); |
|
5328 |
+sData.MODIFIED=1; |
|
5329 |
+sData.INDEX=INDEX; |
|
5330 |
+ |
|
5331 |
+data.sData=sData; |
|
5332 |
+data.undo.sData=undo; |
|
5333 |
+if ~LOG |
|
5334 |
+ data.LOG{length(data.LOG)+1}='% Scale [0,1]'; |
|
5335 |
+ data.LOG{length(data.LOG)+1}='preprocess(''zscale'', ''foo'');'; |
|
5336 |
+end |
|
5337 |
+set(gcf,'UserData',data); |
|
5338 |
+ |
|
5339 |
+vects=zeros(1,length(sData.data(:,1))); |
|
5340 |
+vects(data.selected_vects)=1; |
|
5341 |
+ |
|
5342 |
+cplot_mimema; |
|
5343 |
+plot_hist; |
|
5344 |
+vect_means(sData,data.vect_mean_h,data.selected_vects); |
|
5345 |
+draw_vectors(vects,data.vector_h); |
|
5346 |
+ |
|
5347 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
5348 |
+ |
|
5349 |
+%%% Subfunction: var_scale %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
5350 |
+ |
|
5351 |
+function var_scale(varargin) |
|
5352 |
+ |
|
5353 |
+if nargin == 1 |
|
5354 |
+ LOG=1; |
|
5355 |
+else |
|
5356 |
+ LOG=0; |
|
5357 |
+end |
|
5358 |
+ |
|
5359 |
+data=get(gcf,'UserData'); |
|
5360 |
+sData=data.sData; |
|
5361 |
+undo=sData; |
|
5362 |
+INDEX=sData.INDEX; |
|
5363 |
+sData=rmfield(sData,[{'INDEX'};{'MODIFIED'}]); |
|
5364 |
+ |
|
5365 |
+if isempty(get(data.comp_names_h,'Value')) |
|
5366 |
+ errordlg('There must be components chosen for scaling.'); |
|
5367 |
+ return; |
|
5368 |
+end |
|
5369 |
+ |
|
5370 |
+sData=som_normalize(sData,'var',get_indices); |
|
5371 |
+ |
|
5372 |
+sData.INDEX=INDEX; |
|
5373 |
+sData.MODIFIED=1; |
|
5374 |
+ |
|
5375 |
+data.sData=sData; |
|
5376 |
+data.undo.sData=undo; |
|
5377 |
+if ~LOG |
|
5378 |
+ data.LOG{length(data.LOG)+1}='% Scale var=1'; |
|
5379 |
+ data.LOG{length(data.LOG)+1}='preprocess(''vscale'', ''foo'');'; |
|
5380 |
+end |
|
5381 |
+set(gcf,'UserData',data); |
|
5382 |
+ |
|
5383 |
+vects=zeros(1,length(sData.data(:,1))); |
|
5384 |
+vects(data.selected_vects)=1; |
|
5385 |
+ |
|
5386 |
+cplot_mimema; |
|
5387 |
+plot_hist; |
|
5388 |
+vect_means(sData,data.vect_mean_h,data.selected_vects); |
|
5389 |
+draw_vectors(vects,data.vector_h); |
|
5390 |
+ |
|
5391 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
5392 |
+ |
|
5393 |
+%%% Subfunction: hist_eq %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
5394 |
+ |
|
5395 |
+function hist_eq(varargin) |
|
5396 |
+ |
|
5397 |
+if nargin == 1 |
|
5398 |
+ LOG=1; |
|
5399 |
+else |
|
5400 |
+ LOG=0; |
|
5401 |
+end |
|
5402 |
+ |
|
5403 |
+data=get(gcf,'UserData'); |
|
5404 |
+sData=data.sData; |
|
5405 |
+undo=sData; |
|
5406 |
+INDEX=sData.INDEX; |
|
5407 |
+sData=rmfield(sData,[{'INDEX'},{'MODIFIED'}]); |
|
5408 |
+ |
|
5409 |
+if isempty(get(data.comp_names_h,'Value')) |
|
5410 |
+ errordlg('There must be components chosen for ''Histogram eq''.'); |
|
5411 |
+ return; |
|
5412 |
+end |
|
5413 |
+ |
|
5414 |
+sData=som_normalize(sData,'histD',get_indices); |
|
5415 |
+ |
|
5416 |
+sData.INDEX=INDEX; |
|
5417 |
+sData.MODIFIED=1; |
|
5418 |
+ |
|
5419 |
+data.sData=sData; |
|
5420 |
+data.undo.sData=undo; |
|
5421 |
+if ~LOG |
|
5422 |
+ data.LOG{length(data.LOG)+1}='% Histogram eq'; |
|
5423 |
+ data.LOG{length(data.LOG)+1}='preprocess(''histeq'', ''foo'');'; |
|
5424 |
+end |
|
5425 |
+set(gcf,'UserData',data); |
|
5426 |
+ |
|
5427 |
+vects=zeros(1,length(sData.data(:,1))); |
|
5428 |
+vects(data.selected_vects)=1; |
|
5429 |
+ |
|
5430 |
+cplot_mimema; |
|
5431 |
+plot_hist; |
|
5432 |
+vect_means(sData,data.vect_mean_h,data.selected_vects); |
|
5433 |
+draw_vectors(vects,data.vector_h); |
|
5434 |
+ |
|
5435 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
5436 |
+ |
|
5437 |
+%%% Subfunction: hist_eq2 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
5438 |
+ |
|
5439 |
+function hist_eq2(varargin) |
|
5440 |
+ |
|
5441 |
+if nargin == 1 |
|
5442 |
+ LOG=1; |
|
5443 |
+else |
|
5444 |
+ LOG=0; |
|
5445 |
+end |
|
5446 |
+ |
|
5447 |
+ |
|
5448 |
+data=get(gcf,'UserData'); |
|
5449 |
+sData=data.sData; |
|
5450 |
+undo=sData; |
|
5451 |
+ |
|
5452 |
+INDEX=sData.INDEX; |
|
5453 |
+sData=rmfield(sData,[{'INDEX'};{'MODIFIED'}]); |
|
5454 |
+ |
|
5455 |
+if isempty(get(data.comp_names_h,'Value')) |
|
5456 |
+ errordlg('There must be components chosen for ''Histogram eq2''.'); |
|
5457 |
+ return; |
|
5458 |
+end |
|
5459 |
+ |
|
5460 |
+inds=get_indices; |
|
5461 |
+%%%[sData,ok]=som_normalize(sData,inds,'histC'); |
|
5462 |
+sData=som_normalize(sData,'histC',inds); |
|
5463 |
+sData.INDEX=INDEX; |
|
5464 |
+sData.MODIFIED=1; |
|
5465 |
+ |
|
5466 |
+data.sData=sData; |
|
5467 |
+data.undo.sData=undo; |
|
5468 |
+if ~LOG |
|
5469 |
+ data.LOG{length(data.LOG)+1}='% Histogram eq2'; |
|
5470 |
+ data.LOG{length(data.LOG)+1}='preprocess(''histeq2'', ''foo'');'; |
|
5471 |
+end |
|
5472 |
+set(gcf,'UserData',data); |
|
5473 |
+ |
|
5474 |
+vects=zeros(1,length(sData.data(:,1))); |
|
5475 |
+vects(data.selected_vects)=1; |
|
5476 |
+ |
|
5477 |
+cplot_mimema; |
|
5478 |
+plot_hist; |
|
5479 |
+vect_means(sData,data.vect_mean_h,data.selected_vects); |
|
5480 |
+draw_vectors(vects,data.vector_h); |
|
5481 |
+ |
|
5482 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
5483 |
+ |
|
5484 |
+%%% Subfunction: logarithm %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
5485 |
+ |
|
5486 |
+function logarithm(varargin) |
|
5487 |
+ |
|
5488 |
+if nargin == 1 |
|
5489 |
+ LOG=1; |
|
5490 |
+else |
|
5491 |
+ LOG=0; |
|
5492 |
+end |
|
5493 |
+ |
|
5494 |
+data=get(gcf,'UserData'); |
|
5495 |
+sData=data.sData; |
|
5496 |
+undo=sData; |
|
5497 |
+ |
|
5498 |
+INDEX=sData.INDEX; |
|
5499 |
+sData=rmfield(sData,[{'INDEX'},{'MODIFIED'}]); |
|
5500 |
+ |
|
5501 |
+if isempty(get(data.comp_names_h,'Value')) |
|
5502 |
+ errordlg('There must be components chosen for ''Log''.'); |
|
5503 |
+ return; |
|
5504 |
+end |
|
5505 |
+ |
|
5506 |
+Data=som_normalize(sData,'log',get_indices); |
|
5507 |
+ |
|
5508 |
+sData.INDEX=INDEX; |
|
5509 |
+sData.MODIFIED=1; |
|
5510 |
+ |
|
5511 |
+data.sData=sData; |
|
5512 |
+data.undo.sData=undo; |
|
5513 |
+if ~LOG |
|
5514 |
+ data.LOG{length(data.LOG)+1}='% Log'; |
|
5515 |
+ data.LOG{length(data.LOG)+1}='preprocess(''log'', ''foo'');'; |
|
5516 |
+end |
|
5517 |
+set(gcf,'UserData',data); |
|
5518 |
+ |
|
5519 |
+vects=zeros(1,length(sData.data(:,1))); |
|
5520 |
+vects(data.selected_vects)=1; |
|
5521 |
+ |
|
5522 |
+cplot_mimema; |
|
5523 |
+plot_hist; |
|
5524 |
+vect_means(sData,data.vect_mean_h,data.selected_vects); |
|
5525 |
+draw_vectors(vects,data.vector_h); |
|
5526 |
+ |
|
5527 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
5528 |
+ |
|
5529 |
+function [answer,method]=build_expr(string,evaltype) |
|
5530 |
+ |
|
5531 |
+pre_h=findobj(get(0,'Children'),'Tag','Preprocess'); |
|
5532 |
+ |
|
5533 |
+method=[]; |
|
5534 |
+if isempty(pre_h) |
|
5535 |
+ close_preprocess; |
|
5536 |
+ errordlg('''Preprocess'' -figure does not exist. Terminating program...'); |
|
5537 |
+ return; |
|
5538 |
+ |
|
5539 |
+end |
|
5540 |
+ |
|
5541 |
+if isempty(string) |
|
5542 |
+ str = '[]'; |
|
5543 |
+ return; |
|
5544 |
+end |
|
5545 |
+ |
|
5546 |
+tmp=[]; |
|
5547 |
+[name,assign,skip]=check_assign(string,evaltype); |
|
5548 |
+ |
|
5549 |
+if ~strcmp(assign,'NOTASSIGN') & ~strcmp(assign,'error') |
|
5550 |
+ string=string(skip:length(string)); |
|
5551 |
+end |
|
5552 |
+ |
|
5553 |
+if ~strcmp(assign,'error') |
|
5554 |
+ if isempty(string) |
|
5555 |
+ answer='Illegal expression.'; |
|
5556 |
+ return; |
|
5557 |
+ end |
|
5558 |
+ [str,skip]=check_token(string,evaltype); |
|
5559 |
+ method=string; |
|
5560 |
+ while ~strcmp(str,'error') & ~strcmp(tmp,'error') & skip < length(string) |
|
5561 |
+ if ~strcmp(tmp,')') |
|
5562 |
+ str=cat(2,str,tmp); |
|
5563 |
+ end |
|
5564 |
+ [tmp,skip2]=check_token(string(skip+1:length(string)),evaltype); |
|
5565 |
+ skip=skip+skip2; |
|
5566 |
+ |
|
5567 |
+ end |
|
5568 |
+ if ~strcmp(tmp,')') & ~strcmp(tmp,'error') |
|
5569 |
+ str=cat(2,str,tmp); |
|
5570 |
+ elseif strcmp(tmp,'error') |
|
5571 |
+ str='error'; |
|
5572 |
+ end |
|
5573 |
+end |
|
5574 |
+ |
|
5575 |
+if ~strcmp(assign,'error') & ~strcmp(str,'error'); |
|
5576 |
+ answer=evalin('caller',str,'lasterr'); |
|
5577 |
+else |
|
5578 |
+ answer='??? Illegal expression.'; |
|
5579 |
+end |
|
5580 |
+ |
|
5581 |
+ |
|
5582 |
+data=get(pre_h,'UserData'); |
|
5583 |
+sData=data.sData; |
|
5584 |
+if strcmp(assign,'NOTASSIGN') & strcmp(evaltype,'single') & ~isstr(answer) |
|
5585 |
+ if isempty(get(getfield(get(pre_h,'UserData'),'comp_names_h'),'Value')) |
|
5586 |
+ errordlg('There are not components chosen.'); |
|
5587 |
+ answer='??? Illegal expression.'; |
|
5588 |
+ return; |
|
5589 |
+ end |
|
5590 |
+ index=getfield(get_indices,{1}); |
|
5591 |
+ if strcmp(assign,'NOTASSIGN') |
|
5592 |
+ if length(sData.data(:,index)) ~=length(answer) & ~isscalar(answer) |
|
5593 |
+ answer='??? Illegal assignment.'; |
|
5594 |
+ else |
|
5595 |
+ sData.data(:,index)=answer; |
|
5596 |
+ sData.MODIFIED=1; |
|
5597 |
+ data.sData=sData; |
|
5598 |
+ set(pre_h,'UserData',data); |
|
5599 |
+ end |
|
5600 |
+ else |
|
5601 |
+ if length(sData.data(str2num(assign),index)) ~=length(answer) & ~isscalar(answer) |
|
5602 |
+ answer='??? Illegal assignment.'; |
|
5603 |
+ else |
|
5604 |
+ sData.data(str2num(assign),index)=answer; |
|
5605 |
+ sData.MODIFIED=1; |
|
5606 |
+ data.sData=sData; |
|
5607 |
+ set(pre_h,'UserData',data); |
|
5608 |
+ end |
|
5609 |
+ end |
|
5610 |
+elseif ~strcmp(assign,'error') & ~isstr(answer) & ~strcmp(assign,'NOTASSIGN') |
|
5611 |
+ switch name |
|
5612 |
+ case 'x' |
|
5613 |
+ if isempty(get(data.comp_names_h,'Value')) |
|
5614 |
+ return; |
|
5615 |
+ end |
|
5616 |
+ index = getfield(get_indices,{1}); |
|
5617 |
+ if isempty(assign) |
|
5618 |
+ if length(sData.data(:,index)) ~= length(answer) & ~isscalar(answer) |
|
5619 |
+ answer='??? Illegal assignment.'; |
|
5620 |
+ else |
|
5621 |
+ sData.data(:,index)=answer; |
|
5622 |
+ sData.MODIFIED=1; |
|
5623 |
+ data.sData=sData; |
|
5624 |
+ if strcmp(evaltype,'multiple') |
|
5625 |
+ data.sData.comp_norm(index)={[]}; |
|
5626 |
+ end |
|
5627 |
+ set(pre_h,'UserData',data); |
|
5628 |
+ end |
|
5629 |
+ else |
|
5630 |
+ args=create_args(assign,'x'); |
|
5631 |
+ if length(args) == 1 |
|
5632 |
+ len=max(str2num(args{1})); |
|
5633 |
+ if ~isscalar(len) |
|
5634 |
+ answer='??? Illegal assignment.'; |
|
5635 |
+ return; |
|
5636 |
+ elseif len > length(sData.data(:,1)) | min(str2num(args{1})) < 1 |
|
5637 |
+ answer='??? Illegal assignment.'; |
|
5638 |
+ return; |
|
5639 |
+ elseif ~all(size(sData.data(str2num(args{1}),index))) == size(answer) & ~isscalar(answer) |
|
5640 |
+ answer='??? Illegal assignment.'; |
|
5641 |
+ return; |
|
5642 |
+ else |
|
5643 |
+ sData.data(str2num(args{1}),index)=answer; |
|
5644 |
+ sData.MODIFIED=1; |
|
5645 |
+ data.sData=sData; |
|
5646 |
+ if strcmp(evaltype,'multiple') |
|
5647 |
+ data.sData.comp_norm(index)={[]}; |
|
5648 |
+ end |
|
5649 |
+ set(pre_h,'UserData',data); |
|
5650 |
+ end |
|
5651 |
+ else |
|
5652 |
+ len=max(str2num(args{1})); |
|
5653 |
+ dim=max(str2num(args{2})); |
|
5654 |
+ asize=size(answer); |
|
5655 |
+ msize=size(sData.data); |
|
5656 |
+ if ~isscalar(len) | ~isscalar(dim) |
|
5657 |
+ answer='??? Illegal assignment.'; |
|
5658 |
+ return; |
|
5659 |
+ elseif len > length(sData.data(:,1)) | len < 1 |
|
5660 |
+ answer='??? Illegal assignment.'; |
|
5661 |
+ return; |
|
5662 |
+ elseif dim > 1 | dim > msize(2) | min(str2num(args{2})) < 1 |
|
5663 |
+ answer='??? Illegal assignment.'; |
|
5664 |
+ return; |
|
5665 |
+ end |
|
5666 |
+ len=length(str2num(args{1})); |
|
5667 |
+ dim=length(str2num(args{1})); |
|
5668 |
+ if ~all([len dim] == asize) & ~isscalar(answer) |
|
5669 |
+ answer='??? Illegal assignment.'; |
|
5670 |
+ return; |
|
5671 |
+ else |
|
5672 |
+ tmp=sData.data(:,index); |
|
5673 |
+ tmp([str2num(args{1})],[str2num(args{2})])=answer; |
|
5674 |
+ sData.data(:,index)=tmp; |
|
5675 |
+ sData.MODIFIED=1; |
|
5676 |
+ data.sData=sData; |
|
5677 |
+ if strcmp(evaltype,'multiple') |
|
5678 |
+ data.sData.comp_norm(index)={[]}; |
|
5679 |
+ end |
|
5680 |
+ set(pre_h,'UserData',data); |
|
5681 |
+ end |
|
5682 |
+ end |
|
5683 |
+ end |
|
5684 |
+ |
|
5685 |
+ case 'xs' |
|
5686 |
+ if isempty(get(data.comp_names_h,'Value')) |
|
5687 |
+ return; |
|
5688 |
+ end |
|
5689 |
+ indices=get_indices; |
|
5690 |
+ if isempty(assign) |
|
5691 |
+ if ~all(size(answer) == size(sData.data(:,indices))) & ~isscalar(answer) |
|
5692 |
+ answer='??? Illegal assignment.'; |
|
5693 |
+ else |
|
5694 |
+ sData.data(:,indices) = answer; |
|
5695 |
+ sData.MODIFIED=1; |
|
5696 |
+ data.sData=sData; |
|
5697 |
+ data.sData.comp_norm(indices)={[]}; |
|
5698 |
+ set(pre_h,'UserData',data); |
|
5699 |
+ end |
|
5700 |
+ else |
|
5701 |
+ args=create_args(assign,'xs'); |
|
5702 |
+ if length(args) == 1 |
|
5703 |
+ len=max(str2num(args{1})); |
|
5704 |
+ if ~isscalar(len) |
|
5705 |
+ answer='??? Illegal assignment.'; |
|
5706 |
+ return; |
|
5707 |
+ elseif len > length(sData.data(:,1)) | min(str2num(args{1})) < 1 |
|
5708 |
+ answer='??? Illegal assignment.'; |
|
5709 |
+ return; |
|
5710 |
+ end |
|
5711 |
+ if ~all(size(answer) == size(sData.data(str2num(args{1})))) &... |
|
5712 |
+ ~isscalar(answer) |
|
5713 |
+ answer='??? Illegal assignment.'; |
|
5714 |
+ return; |
|
5715 |
+ else |
|
5716 |
+ tmp=sData.data(:,indices); |
|
5717 |
+ tmp(str2num(args{1}))=answer; |
|
5718 |
+ sData.data(:,indices)=tmp; |
|
5719 |
+ sData.MODIFIED=1; |
|
5720 |
+ sData.comp_norm{indices}={[]}; |
|
5721 |
+ data.sData=sData; |
|
5722 |
+ set(pre_h,'UserData',data); |
|
5723 |
+ end |
|
5724 |
+ else |
|
5725 |
+ len=max(str2num(args{1})); |
|
5726 |
+ dim=max(str2num(args{2})); |
|
5727 |
+ asize=size(answer); |
|
5728 |
+ msize=size(sData.data(:,indices)); |
|
5729 |
+ if ~isscalar(len) | ~isscalar(dim) |
|
5730 |
+ answer='??? Illegal assignment.'; |
|
5731 |
+ return; |
|
5732 |
+ elseif len > msize(1) | min(str2num(args{1})) < 1 |
|
5733 |
+ answer='??? Illegal assignment.'; |
|
5734 |
+ return; |
|
5735 |
+ elseif dim > msize(2) | min(str2num(args{2})) < 1 |
|
5736 |
+ answer='??? Illegal assignment.'; |
|
5737 |
+ return; |
|
5738 |
+ end |
|
5739 |
+ len=length(str2num(args{1})); |
|
5740 |
+ dim=length(str2num(args{2})); |
|
5741 |
+ if ~all([len dim] == asize) & ~isscalar(answer) |
|
5742 |
+ answer='??? Illegal assignment'; |
|
5743 |
+ return; |
|
5744 |
+ else |
|
5745 |
+ tmp=sData.data(:,indices); |
|
5746 |
+ tmp([str2num(args{1})],[str2num(args{2})])=answer; |
|
5747 |
+ sData.MODIFIED=1; |
|
5748 |
+ sData.data(:,indices)=tmp; |
|
5749 |
+ data.sData=sData; |
|
5750 |
+ data.sData.comp_norm(indices)={[]}; |
|
5751 |
+ set(pre_h,'UserData',data); |
|
5752 |
+ end |
|
5753 |
+ |
|
5754 |
+ end |
|
5755 |
+ end |
|
5756 |
+ |
|
5757 |
+ case 'D' |
|
5758 |
+ if isempty(assign) |
|
5759 |
+ if ~all(size(answer) == size(sData.data)) & ~isscalar(answer) |
|
5760 |
+ answer='??? Illegal assignment.'; |
|
5761 |
+ else |
|
5762 |
+ if isscalar(answer) |
|
5763 |
+ sData.data(:,:)=answer; |
|
5764 |
+ else |
|
5765 |
+ sData.data=answer; |
|
5766 |
+ end |
|
5767 |
+ sData.MODIFIED=1; |
|
5768 |
+ data.sData=sData; |
|
5769 |
+ data.sData.comp_norm(1:length(sData.data(1,:)))={[]}; |
|
5770 |
+ set(pre_h,'UserData',data); |
|
5771 |
+ end |
|
5772 |
+ else |
|
5773 |
+ args=create_args(assign,'D'); |
|
5774 |
+ if length(args) == 1 |
|
5775 |
+ len=max(str2num(args{1})); |
|
5776 |
+ if ~isscalar(len) |
|
5777 |
+ answer='??? Illegal assignment.'; |
|
5778 |
+ return; |
|
5779 |
+ elseif len > length(sData.data(:,1)) | min(str2num(args{1})) < 1 |
|
5780 |
+ answer='??? Illegal assignment.'; |
|
5781 |
+ return; |
|
5782 |
+ end |
|
5783 |
+ if ~all(size(answer) == size(sData.data(str2num(args{1})))) &... |
|
5784 |
+ ~isscalar(answer) |
|
5785 |
+ answer='??? Illegal assignment.'; |
|
5786 |
+ else |
|
5787 |
+ sData.data(str2num(args{1}))=answer; |
|
5788 |
+ sData.MODIFIED=1; |
|
5789 |
+ data.sData=sData; |
|
5790 |
+ [i,j]=ind2sub(size(sData.data),str2num(args{1})); |
|
5791 |
+ data.sData.comp_norm(j)={[]}; |
|
5792 |
+ set(pre_h,'UserData',data); |
|
5793 |
+ end |
|
5794 |
+ else |
|
5795 |
+ len=max(str2num(args{1})); |
|
5796 |
+ dim=max(str2num(args{2})); |
|
5797 |
+ asize=size(answer); |
|
5798 |
+ msize=size(sData.data); |
|
5799 |
+ if ~isscalar(len) | ~isscalar(dim) |
|
5800 |
+ answer='??? Illegal assignment.'; |
|
5801 |
+ return; |
|
5802 |
+ elseif len > msize(1) | min(str2num(args{1})) < 1 |
|
5803 |
+ answer='??? Illegal assignment.'; |
|
5804 |
+ return; |
|
5805 |
+ elseif dim > msize(2) | min(str2num(args{2})) < 1 |
|
5806 |
+ answer= '??? Illegal assignment.'; |
|
5807 |
+ return; |
|
5808 |
+ end |
|
5809 |
+ len = length(str2num(args{1})); |
|
5810 |
+ dim = length(str2num(args{2})); |
|
5811 |
+ if ~all([len dim] == asize) & ~isscalar(answer) |
|
5812 |
+ answer='??? Illegal assignment.'; |
|
5813 |
+ return; |
|
5814 |
+ else |
|
5815 |
+ sData.data([str2num(args{1})],[str2num(args{2})])=answer; |
|
5816 |
+ sData.MODIFIED=1; |
|
5817 |
+ data.sData=sData; |
|
5818 |
+ data.sData.comp_norm(str2num(args{2}))={[]}; |
|
5819 |
+ set(pre_h,'UserData',data); |
|
5820 |
+ end |
|
5821 |
+ end |
|
5822 |
+ end |
|
5823 |
+ end |
|
5824 |
+end |
|
5825 |
+if sData.MODIFIED |
|
5826 |
+ selected=getfield(get(pre_h,'UserData'),'selected_vects'); |
|
5827 |
+ vector_h=getfield(get(pre_h,'UserData'),'vector_h'); |
|
5828 |
+ vect_mean_h=getfield(get(pre_h,'UserData'),'vect_mean_h'); |
|
5829 |
+ vects=zeros(length(sData.data(:,1))); |
|
5830 |
+ vects(selected)=1; |
|
5831 |
+ draw_vectors(vects,vector_h); |
|
5832 |
+ vect_means(sData,vect_mean_h,selected); |
|
5833 |
+ pro_tools('plot_hist'); |
|
5834 |
+ pro_tools('c_stat'); |
|
5835 |
+ cplot_mimema; |
|
5836 |
+end |
|
5837 |
+ |
|
5838 |
+ |
|
5839 |
+%%% Subfunction: check_assign %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
5840 |
+ |
|
5841 |
+function [name,string,skip]=check_assign(string,evaltype) |
|
5842 |
+ |
|
5843 |
+ |
|
5844 |
+reswords=[{'D'};{'x'};{'xs'}]; |
|
5845 |
+flag=0; |
|
5846 |
+pre_h=findobj(get(0,'Children'),'Tag','Preprocess'); |
|
5847 |
+ |
|
5848 |
+if isempty(pre_h) |
|
5849 |
+ man_h=findobj(get(0,'Children'),'Tag','Management'); |
|
5850 |
+ clip_h=findobj(get(0,'Children'),'Tag','Clipping'); |
|
5851 |
+ errordlg('''Preprocess'' -window does not exist. Terminating program.'); |
|
5852 |
+ if ~isempty(man_h) |
|
5853 |
+ close man_h; |
|
5854 |
+ end |
|
5855 |
+ if ~isempty(clip_h) |
|
5856 |
+ close clip_h; |
|
5857 |
+ end |
|
5858 |
+ return; |
|
5859 |
+end |
|
5860 |
+ |
|
5861 |
+EMPTY=isempty(get(getfield(get(pre_h,'UserData'),'comp_names_h'),'Value')); |
|
5862 |
+ |
|
5863 |
+[name,s]=give_token(string,evaltype); |
|
5864 |
+skip=length(s); |
|
5865 |
+ |
|
5866 |
+if strcmp(evaltype,'single') & ~strcmp(name,'x') |
|
5867 |
+ string='NOTASSIGN'; |
|
5868 |
+ return; |
|
5869 |
+end |
|
5870 |
+ |
|
5871 |
+if strcmp(name,'other') & ~strcmp(s,'x') |
|
5872 |
+ string = 'error'; |
|
5873 |
+ return; |
|
5874 |
+end |
|
5875 |
+ |
|
5876 |
+if strcmp(name,[{'x'};{'xs'}]) |
|
5877 |
+ comp_names_h=getfield(get(gcf,'UserData'),'comp_names_h'); |
|
5878 |
+ if isempty(get(comp_names_h,'Value')) |
|
5879 |
+ errordlg('There are not components chosen.'); |
|
5880 |
+ string='error'; |
|
5881 |
+ return; |
|
5882 |
+ end |
|
5883 |
+end |
|
5884 |
+ |
|
5885 |
+ |
|
5886 |
+if skip == length(string) | ~strcmp(name,reswords) |
|
5887 |
+ string = 'NOTASSIGN'; |
|
5888 |
+ return; |
|
5889 |
+end |
|
5890 |
+ |
|
5891 |
+if (strcmp(name,'x') | strcmp(name,'xs')) & EMPTY |
|
5892 |
+ errordlg('There are not components chosen.'); |
|
5893 |
+ string = 'error'; |
|
5894 |
+ return; |
|
5895 |
+end |
|
5896 |
+ |
|
5897 |
+[t,s]=give_token(string(length(name)+1),evaltype); |
|
5898 |
+ |
|
5899 |
+if strcmp(t,'(') |
|
5900 |
+ flag=1; |
|
5901 |
+end |
|
5902 |
+ |
|
5903 |
+[foo,skip]=check_token(string,evaltype); |
|
5904 |
+if length(name) ~= skip-1 |
|
5905 |
+ skip=skip-1; |
|
5906 |
+ tmp=string(length(name)+1:skip); |
|
5907 |
+else |
|
5908 |
+ tmp = []; |
|
5909 |
+end |
|
5910 |
+ |
|
5911 |
+if flag & tmp(length(tmp)) ~= ')' |
|
5912 |
+ tmp(length(tmp)+1)=')'; |
|
5913 |
+end |
|
5914 |
+ |
|
5915 |
+if skip==length(string) |
|
5916 |
+ return; |
|
5917 |
+end |
|
5918 |
+ |
|
5919 |
+skip=skip+1; |
|
5920 |
+if length(string) ~= skip |
|
5921 |
+ [t,s]=give_token(string(skip+1:length(string)),evaltype); |
|
5922 |
+else |
|
5923 |
+ string='NOTASSIGN'; |
|
5924 |
+ return; |
|
5925 |
+end |
|
5926 |
+ |
|
5927 |
+if ~strcmp(t,'=') |
|
5928 |
+ string = 'NOTASSIGN'; |
|
5929 |
+ return; |
|
5930 |
+end |
|
5931 |
+string=tmp; |
|
5932 |
+skip = skip+2; |
|
5933 |
+ |
|
5934 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
5935 |
+ |
|
5936 |
+%%% Subfunction: isscalar %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
5937 |
+ |
|
5938 |
+function bool = isscalar(x) |
|
5939 |
+ |
|
5940 |
+ m= size(x); |
|
5941 |
+ |
|
5942 |
+ bool = m(1) == 1 & m(2) == 1; |
|
5943 |
+ |
|
5944 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
5945 |
+ |
|
5946 |
+%%% Subfunction: create_args %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
5947 |
+ |
|
5948 |
+function args=create_args(string,type) |
|
5949 |
+ |
|
5950 |
+arg2=''; |
|
5951 |
+i=2; |
|
5952 |
+j=1; |
|
5953 |
+pre_h=findobj(get(0,'Children'),'Tag','Preprocess'); |
|
5954 |
+msize=size(getfield(getfield(get(pre_h,'UserData'),'sData'),'data')); |
|
5955 |
+ |
|
5956 |
+ |
|
5957 |
+if string(i) == ':' |
|
5958 |
+ arg1=num2str(cat(2,'1:',num2str(msize(1)))); |
|
5959 |
+ i=i+1; |
|
5960 |
+ j=j+length(arg1); |
|
5961 |
+end |
|
5962 |
+ |
|
5963 |
+while string(i) ~=',' & string(i) ~=')' |
|
5964 |
+ arg1(j)=string(i); |
|
5965 |
+ i=i+1; |
|
5966 |
+ j=j+1; |
|
5967 |
+end |
|
5968 |
+ |
|
5969 |
+ |
|
5970 |
+ |
|
5971 |
+if string(i) ==',' |
|
5972 |
+ j=1; |
|
5973 |
+ i=i+1; |
|
5974 |
+ if string(i)==':' |
|
5975 |
+ switch type |
|
5976 |
+ case 'x' |
|
5977 |
+ arg2='1'; |
|
5978 |
+ case 'cs' |
|
5979 |
+ arg2=num2str(get_indices); |
|
5980 |
+ case 'D' |
|
5981 |
+ arg2=num2str(cat(2,'1:',num2str(msize(2)))); |
|
5982 |
+ end |
|
5983 |
+ i=i+1; |
|
5984 |
+ j=j+length(arg2); |
|
5985 |
+ end |
|
5986 |
+ |
|
5987 |
+ while string(i) ~= ')' |
|
5988 |
+ arg2(j)=string(i); |
|
5989 |
+ j=j+1; |
|
5990 |
+ i=i+1; |
|
5991 |
+ end |
|
5992 |
+end |
|
5993 |
+ |
|
5994 |
+ |
|
5995 |
+args{1}=arg1; |
|
5996 |
+if ~isempty(arg2) |
|
5997 |
+ args{2} = arg2; |
|
5998 |
+end |
|
5999 |
+ |
|
6000 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
6001 |
+ |
|
6002 |
+function [str,skip] = check_token(string,evaltype) |
|
6003 |
+ |
|
6004 |
+pre_h=findobj(get(0,'Children'),'Tag','Preprocess'); |
|
6005 |
+ |
|
6006 |
+tmp_string=string; |
|
6007 |
+[t,s]=give_token(tmp_string,evaltype); |
|
6008 |
+skip=length(s); |
|
6009 |
+ |
|
6010 |
+if strcmp(t,'c') |
|
6011 |
+ if isempty(get(getfield(get(pre_h,'UserData'),'comp_names_h'),'Value')) |
|
6012 |
+ errordlg('There are no components chosen.'); |
|
6013 |
+ str='error'; |
|
6014 |
+ return; |
|
6015 |
+ end |
|
6016 |
+ index=getfield(get_indices,{1}); |
|
6017 |
+ str=cat(2,'[',num2str(index),']'); |
|
6018 |
+ if skip == length(tmp_string) |
|
6019 |
+ return; |
|
6020 |
+ end |
|
6021 |
+ tmp_string=tmp_string(skip+1:length(tmp_string)); |
|
6022 |
+ [t,s] = give_token(tmp_string,evaltype); |
|
6023 |
+ if ~strcmp(t,'(') |
|
6024 |
+ return; |
|
6025 |
+ end |
|
6026 |
+ [args,skip2] = get_args(tmp_string(length(s)+1:length(tmp_string)),'c',... |
|
6027 |
+ evaltype); |
|
6028 |
+ skip=skip+skip2+2; |
|
6029 |
+ if strcmp(args,'error') |
|
6030 |
+ str = 'error' |
|
6031 |
+ return; |
|
6032 |
+ elseif ~strcmp(args,'all') |
|
6033 |
+ str=cat(2,'getfield(',str,',',args,')'); |
|
6034 |
+ else |
|
6035 |
+ str=cat(2,'getfield(',str,',{[1]})'); |
|
6036 |
+ end |
|
6037 |
+elseif strcmp(t,'cs') |
|
6038 |
+ if isempty(get(getfield(get(pre_h,'UserData'),'comp_names_h'),'Value')) |
|
6039 |
+ errordlg('There are no components chosen.'); |
|
6040 |
+ str='error'; |
|
6041 |
+ return; |
|
6042 |
+ end |
|
6043 |
+ str =cat(2,'[',num2str(get_indices),']'); |
|
6044 |
+ if length(s) == length(string) |
|
6045 |
+ return; |
|
6046 |
+ end |
|
6047 |
+ tmp_string=tmp_string(1+length(s):length(string)); |
|
6048 |
+ [t,s]=give_token(tmp_string,evaltype); |
|
6049 |
+ if ~strcmp(t,'(') |
|
6050 |
+ return; |
|
6051 |
+ else |
|
6052 |
+ [args,skip2]=get_args(tmp_string(1+length(s):length(tmp_string)),'cs',... |
|
6053 |
+ evaltype); |
|
6054 |
+ skip=2+skip+skip2; |
|
6055 |
+ if strcmp(args,'error') |
|
6056 |
+ str='error'; |
|
6057 |
+ return; |
|
6058 |
+ elseif ~strcmp(args,'all') |
|
6059 |
+ str = cat(2,'getfield(',str,',',args,')'); |
|
6060 |
+ else |
|
6061 |
+ tmp_str=str; |
|
6062 |
+ str=cat(2,'[getfield(',str,',','{1})'); |
|
6063 |
+ for i=2:length(get_indices) |
|
6064 |
+ str=cat(2,str,';getfield(',tmp_str,',',sprintf('{%d})',i)); |
|
6065 |
+ end |
|
6066 |
+ str=cat(2,str,']'); |
|
6067 |
+ end |
|
6068 |
+ end |
|
6069 |
+elseif strcmp(t,'dim') |
|
6070 |
+ ind1=getfield(size(getfield(getfield(get(pre_h,'UserData'),'sData'),'data')),{2}); |
|
6071 |
+ str=cat(2,'[',num2str(ind1),']'); |
|
6072 |
+ if length(s)==length(string) |
|
6073 |
+ return; |
|
6074 |
+ end |
|
6075 |
+ tmp_string=string(1+length(s):length(string)); |
|
6076 |
+ [t,s]=give_token(tmp_string,evaltype); |
|
6077 |
+ if ~strcmp(t,'(') |
|
6078 |
+ return; |
|
6079 |
+ end |
|
6080 |
+ skip=1+skip+length(s); |
|
6081 |
+ [args,skip2]=get_args(tmp_string(1+length(s):length(tmp_string)),'dim',... |
|
6082 |
+ evaltype); |
|
6083 |
+ if strcmp(args,'error') |
|
6084 |
+ str = 'error'; |
|
6085 |
+ return; |
|
6086 |
+ else |
|
6087 |
+ skip=skip+skip2; |
|
6088 |
+ if ~strcmp(args,'all') |
|
6089 |
+ str=cat(2,'getfield(',str,',',args,')'); |
|
6090 |
+ end |
|
6091 |
+ end |
|
6092 |
+ |
|
6093 |
+elseif strcmp(t,'dlen') |
|
6094 |
+ ind1=getfield(size(getfield(getfield(get(pre_h,'UserData'),'sData'),'data')),{1}); |
|
6095 |
+ str=cat(2,'[',num2str(ind1),']'); |
|
6096 |
+ if length(s)==length(string) |
|
6097 |
+ return; |
|
6098 |
+ end |
|
6099 |
+ tmp_string=string(1+length(s):length(string)); |
|
6100 |
+ [t,s]=give_token(tmp_string,evaltype); |
|
6101 |
+ if ~strcmp(t,'(') |
|
6102 |
+ return; |
|
6103 |
+ end |
|
6104 |
+ skip=skip+length(s); |
|
6105 |
+ [args,skip2]=get_args(tmp_string(1+length(s):length(tmp_string)),'dlen',... |
|
6106 |
+ evaltype); |
|
6107 |
+ if strcmp(args,'error') |
|
6108 |
+ str='error'; |
|
6109 |
+ return; |
|
6110 |
+ else |
|
6111 |
+ skip=1+skip+skip2; |
|
6112 |
+ if ~strcmp(args,'all') |
|
6113 |
+ str=cat(2,'getfield(',str,',',args,')'); |
|
6114 |
+ end |
|
6115 |
+ end |
|
6116 |
+ |
|
6117 |
+elseif strcmp(t,'x') |
|
6118 |
+ if isempty(get(getfield(get(pre_h,'UserData'),'comp_names_h'),'Value')) |
|
6119 |
+ errordlg('There are not components chosen.'); |
|
6120 |
+ str='error'; |
|
6121 |
+ return; |
|
6122 |
+ end |
|
6123 |
+ len=getfield(size(getfield(getfield(get(pre_h,'UserData'),... |
|
6124 |
+ 'sData'),'data')),{1}); |
|
6125 |
+ index=num2str(getfield(get_indices,{1})); |
|
6126 |
+ h_str='findobj(get(0,''Children''),''Tag'',''Preprocess'')'; |
|
6127 |
+ get_str=cat(2,'getfield(get(',h_str,',''UserData''),''sData'')'); |
|
6128 |
+ get_str=cat(2,'getfield(',get_str,',''data'')'); |
|
6129 |
+ str=cat(2,'getfield(',get_str,',{[1:',num2str(len),'],',index,'})'); |
|
6130 |
+ if length(s) == length(string) |
|
6131 |
+ return; |
|
6132 |
+ end |
|
6133 |
+ tmp_string=string(1+length(s):length(string)); |
|
6134 |
+ [t,s]=give_token(tmp_string,evaltype); |
|
6135 |
+ if ~strcmp(t,'('); |
|
6136 |
+ return; |
|
6137 |
+ end |
|
6138 |
+ skip=skip+length(s); |
|
6139 |
+ [args,skip2]=get_args(tmp_string(1+length(s):length(tmp_string)),'x',... |
|
6140 |
+ evaltype); |
|
6141 |
+ if strcmp(args,'error') |
|
6142 |
+ str = 'error'; |
|
6143 |
+ return; |
|
6144 |
+ else |
|
6145 |
+ skip=1+skip+skip2; |
|
6146 |
+ if ~strcmp(args,'all') |
|
6147 |
+ str=cat(2,'getfield(',str,',',args,')'); |
|
6148 |
+ end |
|
6149 |
+ end |
|
6150 |
+ |
|
6151 |
+elseif strcmp(t,'xs') |
|
6152 |
+ if isempty(get(getfield(get(pre_h,'UserData'),'comp_names_h'),'Value')) |
|
6153 |
+ errordlg('There are not components chosen.'); |
|
6154 |
+ str='error'; |
|
6155 |
+ return; |
|
6156 |
+ end |
|
6157 |
+ len=getfield(size(getfield(getfield(get(pre_h,'UserData'),... |
|
6158 |
+ 'sData'),'data')),{1}); |
|
6159 |
+ index=get_indices; |
|
6160 |
+ index=cat(2,'[',num2str(index),']'); |
|
6161 |
+ h_str='findobj(get(0,''Children''),''Tag'',''Preprocess'')'; |
|
6162 |
+ get_str=cat(2,'getfield(get(',h_str,',''UserData''),''sData'')'); |
|
6163 |
+ get_str=cat(2,'getfield(',get_str,',''data'')'); |
|
6164 |
+ str=cat(2,'getfield(',get_str,',{[1:',num2str(len),'],',index,'})'); |
|
6165 |
+ if length(s) == length(string) |
|
6166 |
+ return; |
|
6167 |
+ end |
|
6168 |
+ tmp_string=string(1+length(s):length(string)); |
|
6169 |
+ [t,s]=give_token(tmp_string,evaltype); |
|
6170 |
+ if ~strcmp(t,'(') |
|
6171 |
+ return; |
|
6172 |
+ end |
|
6173 |
+ skip=1+skip+length(s); |
|
6174 |
+ |
|
6175 |
+ [args,skip2]=get_args(tmp_string(1+length(s):length(tmp_string)),'xs',... |
|
6176 |
+ evaltype); |
|
6177 |
+ if strcmp(args,'error') |
|
6178 |
+ str = 'error'; |
|
6179 |
+ return; |
|
6180 |
+ elseif ~strcmp(args,'all') |
|
6181 |
+ str=cat(2,'getfield(',str,',',args,')'); |
|
6182 |
+ skip=skip+skip2; |
|
6183 |
+ else |
|
6184 |
+ skip=skip+skip2; |
|
6185 |
+ [dlen,dim]=size(eval(str)); |
|
6186 |
+ tmp_str=str; |
|
6187 |
+ str=cat(2,'[','getfield(',tmp_str,sprintf(',{1:%d,1})',dlen)); |
|
6188 |
+ for i=2:dim |
|
6189 |
+ tmp=sprintf(',{1:%d,%d})',dlen,dim); |
|
6190 |
+ str=cat(2,str,';','getfield(',tmp_str,tmp); |
|
6191 |
+ end |
|
6192 |
+ str=cat(2,str,']'); |
|
6193 |
+ end |
|
6194 |
+elseif strcmp(t,'D') |
|
6195 |
+ get_h='findobj(get(0,''Children''),''Tag'',''Preprocess'')'; |
|
6196 |
+ str=cat(2,'getfield(getfield(get(',get_h,',''UserData''),''sData''),''data'')'); |
|
6197 |
+ |
|
6198 |
+ if length(s) >= length(tmp_string) |
|
6199 |
+ return; |
|
6200 |
+ end |
|
6201 |
+ |
|
6202 |
+ tmp_string=tmp_string(1+length(s):length(tmp_string)); |
|
6203 |
+ [t,s]=give_token(tmp_string,evaltype); |
|
6204 |
+ if ~strcmp(t,'(') |
|
6205 |
+ return; |
|
6206 |
+ else |
|
6207 |
+ tmp_string=tmp_string(1+length(s):length(tmp_string)); |
|
6208 |
+ skip = skip+length(s); |
|
6209 |
+ [args, skip2]=get_args(tmp_string,'D',evaltype); |
|
6210 |
+ if strcmp(args,'error') |
|
6211 |
+ str='error'; |
|
6212 |
+ return; |
|
6213 |
+ elseif ~strcmp(args,'all') |
|
6214 |
+ str=cat(2,'getfield(',str,',',args,')'); |
|
6215 |
+ skip=1+skip+skip2; |
|
6216 |
+ else |
|
6217 |
+ skip=1+skip+skip2; |
|
6218 |
+ [dlen,dim]=size(eval(str)); |
|
6219 |
+ tmp_str=str; |
|
6220 |
+ str=cat(2,'[getfield(',str,sprintf(',{1:%d,1})',dlen)); |
|
6221 |
+ for i=2:dim |
|
6222 |
+ tmp=sprintf(',{1:%d,%d}',dlen,i); |
|
6223 |
+ str=cat(2,str,';getfield(',tmp_str,tmp,')'); |
|
6224 |
+ end |
|
6225 |
+ str=cat(2,str,']'); |
|
6226 |
+ end |
|
6227 |
+ end |
|
6228 |
+else |
|
6229 |
+ if strcmp(t,'(') |
|
6230 |
+ str = t; |
|
6231 |
+ str2=''; |
|
6232 |
+ tmp_string=tmp_string(1+length(s):length(tmp_string)); |
|
6233 |
+ while ~strcmp(str2,')') & ~isempty(tmp_string) |
|
6234 |
+ [str2,skip2]=check_token(tmp_string,evaltype); |
|
6235 |
+ if strcmp(str2,'error') |
|
6236 |
+ str='error'; |
|
6237 |
+ return; |
|
6238 |
+ end |
|
6239 |
+ skip=skip+skip2; |
|
6240 |
+ tmp_string=tmp_string(skip2+1:length(tmp_string)); |
|
6241 |
+ str=cat(2,str,str2); |
|
6242 |
+ end |
|
6243 |
+ if ~strcmp(str2,')') |
|
6244 |
+ str = 'error'; |
|
6245 |
+ end |
|
6246 |
+ else |
|
6247 |
+ str = s; |
|
6248 |
+ end |
|
6249 |
+end |
|
6250 |
+ |
|
6251 |
+%%% Subfunction: get_args %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
6252 |
+ |
|
6253 |
+function [str,skip] = get_args(string,flag,evaltype) |
|
6254 |
+ |
|
6255 |
+res_words=[{'D'};{'c'};{'cs'};{'dim'};{'dlen'};{'x'};{'xs'}]; |
|
6256 |
+NOTALL=1; |
|
6257 |
+if isempty(string) |
|
6258 |
+ str='error' |
|
6259 |
+ skip=[]; |
|
6260 |
+ return; |
|
6261 |
+end |
|
6262 |
+[t,s] = give_token(string,evaltype); |
|
6263 |
+ |
|
6264 |
+ |
|
6265 |
+skip=length(s); |
|
6266 |
+if any(strcmp(t,res_words)); |
|
6267 |
+ [str,skip2] = check_token(string,evaltype); |
|
6268 |
+ string=string(1+length(s):length(string)); |
|
6269 |
+ str=cat(2,'{[',str); |
|
6270 |
+ [t,s]=give_token(string,evaltype); |
|
6271 |
+elseif t==')' | t==',' |
|
6272 |
+ str = 'error'; |
|
6273 |
+ return; |
|
6274 |
+elseif strcmp(t,':'); |
|
6275 |
+ if length(s) == length(string) |
|
6276 |
+ str='error'; |
|
6277 |
+ return; |
|
6278 |
+ end |
|
6279 |
+ [t,s]=give_token(string(1+length(s):length(string)),evaltype); |
|
6280 |
+ if t == ')' |
|
6281 |
+ str = 'all'; |
|
6282 |
+ return; |
|
6283 |
+ end |
|
6284 |
+ switch flag |
|
6285 |
+ case {'c','cs','dim','dlen'} |
|
6286 |
+ str= '{[1'; |
|
6287 |
+ otherwise |
|
6288 |
+ str=cat(2,'{[',get_all('vect')); |
|
6289 |
+ end |
|
6290 |
+ NOTALL=0; |
|
6291 |
+ string=string(1+length(s):length(string)); |
|
6292 |
+ [t,s]=give_token(string,evaltype); |
|
6293 |
+ skip=skip+1; |
|
6294 |
+else |
|
6295 |
+ str = cat(2,'{[',s); |
|
6296 |
+end |
|
6297 |
+str2 =[]; |
|
6298 |
+ |
|
6299 |
+ |
|
6300 |
+if ~strcmp(t,',') & ~strcmp(t,')') |
|
6301 |
+ skip=skip-length(s); |
|
6302 |
+end |
|
6303 |
+ |
|
6304 |
+ |
|
6305 |
+ |
|
6306 |
+while ~strcmp(t,',') & ~strcmp(t,')') & NOTALL; |
|
6307 |
+ str=cat(2,str,str2); |
|
6308 |
+ [t,s] = give_token(string,evaltype); |
|
6309 |
+ if length(s) == length(string) |
|
6310 |
+ str = 'error'; |
|
6311 |
+ return; |
|
6312 |
+ end |
|
6313 |
+ string=string(1+length(s):length(string)); |
|
6314 |
+ skip=skip+length(s); |
|
6315 |
+ [t,s]=give_token(string,evaltype); |
|
6316 |
+ if length(s) == length(string) & ~strcmp(t,')') |
|
6317 |
+ str = 'error'; |
|
6318 |
+ return; |
|
6319 |
+ end |
|
6320 |
+ |
|
6321 |
+ [str2,foo]=check_token(string,evaltype); |
|
6322 |
+end |
|
6323 |
+ |
|
6324 |
+if NOTALL & ~strcmp(t,')') |
|
6325 |
+ skip=skip+1; |
|
6326 |
+end |
|
6327 |
+ |
|
6328 |
+if strcmp(t,')') |
|
6329 |
+ str=cat(2,str,']}'); |
|
6330 |
+ return |
|
6331 |
+end |
|
6332 |
+ |
|
6333 |
+str=cat(2,str,']',',','['); |
|
6334 |
+str2 = []; |
|
6335 |
+ |
|
6336 |
+ |
|
6337 |
+[t,s] = give_token(string,evaltype); |
|
6338 |
+if strcmp(t,')') |
|
6339 |
+ str = 'error' |
|
6340 |
+ return; |
|
6341 |
+end |
|
6342 |
+NOTALL=1; |
|
6343 |
+string=string(1+length(s):length(string)); |
|
6344 |
+[t,s]=give_token(string,evaltype); |
|
6345 |
+if strcmp(t,':'); |
|
6346 |
+ switch flag |
|
6347 |
+ case {'c','dim','dlen','x'} |
|
6348 |
+ str=cat(2,str,'1'); |
|
6349 |
+ case 'D' |
|
6350 |
+ str=cat(2,str,get_all('comp')); |
|
6351 |
+ case {'cs','xs'} |
|
6352 |
+ str=cat(2,str,'1:',num2str(length(get_indices))); |
|
6353 |
+ end |
|
6354 |
+ NOTALL=0; |
|
6355 |
+ if length(s) == length(string) |
|
6356 |
+ str='error'; |
|
6357 |
+ return; |
|
6358 |
+ end |
|
6359 |
+ string=string(1+length(s):length(string)); |
|
6360 |
+ [t,s]=give_token(string,evaltype); |
|
6361 |
+end |
|
6362 |
+ |
|
6363 |
+if ~strcmp(t,')') & NOTALL |
|
6364 |
+ skip=skip-1; |
|
6365 |
+end |
|
6366 |
+ |
|
6367 |
+while ~strcmp(t,')') & NOTALL |
|
6368 |
+ str=cat(2,str,str2); |
|
6369 |
+ skip=skip+length(s); |
|
6370 |
+ if length(s) == length(string) & ~strcmp(t,')') |
|
6371 |
+ str='error'; |
|
6372 |
+ return; |
|
6373 |
+ end |
|
6374 |
+ [str2,foo]=check_token(string,evaltype); |
|
6375 |
+ string=string(1+length(s):length(string)); |
|
6376 |
+ [t,s]=give_token(string,evaltype); |
|
6377 |
+end |
|
6378 |
+if ~strcmp(t,')') |
|
6379 |
+ str='error'; |
|
6380 |
+ return; |
|
6381 |
+end |
|
6382 |
+ |
|
6383 |
+ |
|
6384 |
+str=cat(2,str,str2,']}'); |
|
6385 |
+skip=skip+length(s); |
|
6386 |
+ |
|
6387 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
6388 |
+ |
|
6389 |
+%%% Subfunction: get_all %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
6390 |
+ |
|
6391 |
+function str=get_all(vect_or_comp) |
|
6392 |
+ |
|
6393 |
+pre_h=findobj(get(0,'Children'),'Tag','Preprocess'); |
|
6394 |
+ |
|
6395 |
+switch vect_or_comp |
|
6396 |
+ case 'vect' |
|
6397 |
+ dim=getfield(size(getfield(getfield(get(pre_h,'UserData'),... |
|
6398 |
+ 'sData'),'data')),{1}); |
|
6399 |
+ str=cat(2,'1:',num2str(dim)); |
|
6400 |
+ case 'comp' |
|
6401 |
+ dim=getfield(size(getfield(getfield(get(pre_h,'UserData'),... |
|
6402 |
+ 'sData'),'data')),{2}); |
|
6403 |
+ str=cat(2,'1:',num2str(dim)); |
|
6404 |
+end |
|
6405 |
+ |
|
6406 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
6407 |
+ |
|
6408 |
+function [token,str]=give_token(string,evaltype) |
|
6409 |
+ |
|
6410 |
+n=length(string); |
|
6411 |
+i=1; |
|
6412 |
+char=string(i); |
|
6413 |
+ |
|
6414 |
+switch analyze_char(string(i)); |
|
6415 |
+ case 'num' |
|
6416 |
+ token='num'; |
|
6417 |
+ while i <= n & strcmp('num',analyze_char(string(i))) |
|
6418 |
+ str(i)=string(i); |
|
6419 |
+ i=i+1; |
|
6420 |
+ end |
|
6421 |
+ case 'other' |
|
6422 |
+ switch string(i) |
|
6423 |
+ case ':' |
|
6424 |
+ token = ':'; |
|
6425 |
+ case ',' |
|
6426 |
+ token = ','; |
|
6427 |
+ case '(' |
|
6428 |
+ token = '('; |
|
6429 |
+ case ')' |
|
6430 |
+ token = ')'; |
|
6431 |
+ case '=' |
|
6432 |
+ token = '='; |
|
6433 |
+ otherwise |
|
6434 |
+ token='other'; |
|
6435 |
+ end |
|
6436 |
+ str=string(i); |
|
6437 |
+ case 'alpha' |
|
6438 |
+ while i <= n & strcmp('alpha',analyze_char(string(i))) |
|
6439 |
+ str(i)=string(i); |
|
6440 |
+ i=i+1; |
|
6441 |
+ end |
|
6442 |
+ token = find_res_word(str,evaltype); |
|
6443 |
+end |
|
6444 |
+ |
|
6445 |
+%%% Subfunction: analyze_char %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
6446 |
+ |
|
6447 |
+function type=analyze_char(char) |
|
6448 |
+ |
|
6449 |
+ |
|
6450 |
+if ((char-0) >= ('0'-0) & (char-0) <= ('9'-0)) |
|
6451 |
+ type='num'; |
|
6452 |
+elseif ((char-0) >= ('a'-0) & (char-0) <= ('z'-0)) ... |
|
6453 |
+ | ((char-0) >= ('A'-0) & (char-0) <= ('Z'-0)) |
|
6454 |
+ type='alpha'; |
|
6455 |
+else |
|
6456 |
+ type='other'; |
|
6457 |
+end |
|
6458 |
+ |
|
6459 |
+ |
|
6460 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
6461 |
+ |
|
6462 |
+%%% Subfunction: find_res_word %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
6463 |
+ |
|
6464 |
+function token = find_res_word(string,evaltype) |
|
6465 |
+ |
|
6466 |
+reswords=[{'D'};{'c'};{'cs'};{'dim'};{'dlen'};{'x'};{'xs'};{'other'}]; |
|
6467 |
+ |
|
6468 |
+for i=1:length(reswords); |
|
6469 |
+ token=reswords{i}; |
|
6470 |
+ if strcmp(string,reswords{i}) |
|
6471 |
+ if strcmp(evaltype,'single') & ~strcmp(string,'x') |
|
6472 |
+ token = 'other'; |
|
6473 |
+ end |
|
6474 |
+ return; |
|
6475 |
+ end |
|
6476 |
+end |
|
6477 |
+ |
|
6478 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
6479 |
+ |
|
6480 |
+function close_func(varargin) |
|
6481 |
+ |
|
6482 |
+switch varargin{1} |
|
6483 |
+ case 'close_c' |
|
6484 |
+ str='% Closing the ''Clipping'' -window...'; |
|
6485 |
+ clip_h=findobj(get(0,'Children'),'Tag','Clipping'); |
|
6486 |
+ close(clip_h); |
|
6487 |
+ case 'close_sD' |
|
6488 |
+ str='% Closing the ''Data Set Management'' -window...'; |
|
6489 |
+ sD_h=findobj(get(0,'Children'),'Tag','Management'); |
|
6490 |
+ close(sD_h); |
|
6491 |
+ case 'close_w' |
|
6492 |
+ str='% Closing the ''Windowed'' -window...'; |
|
6493 |
+ win_h=findobj(get(0,'Children'),'Tag','Window'); |
|
6494 |
+ close(win_h); |
|
6495 |
+ case 'close_s' |
|
6496 |
+ str='% Closing the ''Select'' -window...'; |
|
6497 |
+ sel_h=findobj(get(0,'Children'),'Tag','Select'); |
|
6498 |
+ close(sel_h); |
|
6499 |
+ case 'close_d' |
|
6500 |
+ str='% Closing the ''Delay'' -window...'; |
|
6501 |
+ del_h=findobj(get(0,'Children'),'Tag','Delay'); |
|
6502 |
+ close(del_h); |
|
6503 |
+end |
|
6504 |
+ |
|
6505 |
+if nargin ~= 2 |
|
6506 |
+ pre_h=findobj(get(0,'Children'),'Tag','Preprocess'); |
|
6507 |
+ preh_udata=get(pre_h,'UserData'); |
|
6508 |
+ str2=cat(2,'preprocess(''',varargin{1},''',''foo'');'); |
|
6509 |
+ preh_udata.LOG{length(preh_udata.LOG)+1}=str; |
|
6510 |
+ preh_udata.LOG{length(preh_udata.LOG)+1}=str2; |
|
6511 |
+ set(pre_h,'UserData',preh_udata); |
|
6512 |
+end |
|
6513 |
+ |
|
6514 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
6515 |
+ |
|
6516 |
+function log_file |
|
6517 |
+ |
|
6518 |
+answer=inputdlg('Give the name of the outputfile:','LOG function',1,... |
|
6519 |
+ {'log_function'}); |
|
6520 |
+ |
|
6521 |
+if isempty(answer) |
|
6522 |
+ return; |
|
6523 |
+end |
|
6524 |
+ |
|
6525 |
+ |
|
6526 |
+tmp=clock; |
|
6527 |
+str =cat(2,'% Created: ',... |
|
6528 |
+ date,... |
|
6529 |
+ ' ',sprintf('%d:%d\n%\n\n',tmp(4),tmp(5))); |
|
6530 |
+pre_h=findobj(get(0,'Children'),'Tag','Preprocess'); |
|
6531 |
+LOG=getfield(get(pre_h,'UserData'),'LOG'); |
|
6532 |
+file=cat(2,pwd,'/',answer{1},'.m'); |
|
6533 |
+fid =fopen(file,'w'); |
|
6534 |
+ |
|
6535 |
+arg=LOG{2}(12:length(LOG{2})-2); |
|
6536 |
+fprintf(fid,'%s\n \n',cat(2,'function ',answer{1},'(',arg,')')); |
|
6537 |
+fprintf(fid,'%s\n',str); |
|
6538 |
+for i=1:length(LOG) |
|
6539 |
+ fprintf(fid,'%s\n',LOG{i}); |
|
6540 |
+end |
|
6541 |
+fclose(fid); |
|
6542 |
+disp(sprintf('LOG-file ''%s'' is done.',file)); |
|
6543 |
+ |
|
6544 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
6545 |
+ |
|
6546 |
+function get_selected_inds(varargin) |
|
6547 |
+ |
|
6548 |
+if nargin == 1 |
|
6549 |
+ LOG=1; |
|
6550 |
+ answer = {varargin{1}}; |
|
6551 |
+else |
|
6552 |
+ LOG=0; |
|
6553 |
+end |
|
6554 |
+ |
|
6555 |
+selected=getfield(get(gcf,'UserData'),'selected_vects'); |
|
6556 |
+if ~LOG |
|
6557 |
+ answer=inputdlg('Give the name of the output variable:',... |
|
6558 |
+ '',1,{'indices'}); |
|
6559 |
+end |
|
6560 |
+ |
|
6561 |
+if isempty(answer) | isempty(answer{1}) |
|
6562 |
+ return; |
|
6563 |
+else |
|
6564 |
+ assignin('base',answer{1},selected); |
|
6565 |
+ disp(cat(2,'Indices of the selected vectors are set to the workspace ',... |
|
6566 |
+ sprintf(' as ''%s''.',answer{1}))); |
|
6567 |
+ if ~LOG |
|
6568 |
+ data=get(gcf,'UserData'); |
|
6569 |
+ data.LOG{length(data.LOG)+1}=... |
|
6570 |
+ '% Saving indices of the selected vectors to the workspace.'; |
|
6571 |
+ data.LOG{length(data.LOG)+1}=cat(2,'preprocess(''get_inds'',',... |
|
6572 |
+ '''',answer{1},''');'); |
|
6573 |
+ set(gcf,'UserData',data); |
|
6574 |
+ end |
|
6575 |
+end |
|
6576 |
+ |
|
6577 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
6578 |
+ |
|
6579 |
+function no_of_selected(varargin) |
|
6580 |
+ |
|
6581 |
+if nargin == 1 |
|
6582 |
+ pre_h=findobj(get(0,'Children'),'Tag','Preprocess'); |
|
6583 |
+ set(0,'CurrentFigure',pre_h); |
|
6584 |
+ LOG = 1; |
|
6585 |
+else |
|
6586 |
+ LOG = 0; |
|
6587 |
+end |
|
6588 |
+ |
|
6589 |
+results_h=getfield(get(gcf,'UserData'),'results_h'); |
|
6590 |
+no=length(getfield(get(gcf,'UserData'),'selected_vects')); |
|
6591 |
+str={sprintf('Number of selected vectors: %d\n', no)}; |
|
6592 |
+set(results_h,'String',str,'HorizontalAlignment','left'); |
|
6593 |
+ |
|
6594 |
+if ~LOG |
|
6595 |
+ data=get(gcf,'UserData'); |
|
6596 |
+ data.LOG{length(data.LOG)+1}='% Number of selected vectors'; |
|
6597 |
+ data.LOG{length(data.LOG)+1}='preprocess(''no_of_sel'',''foo'');'; |
|
6598 |
+ set(gcf,'UserData',data); |
|
6599 |
+end |
|
6600 |
+ |
|
6601 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
6602 |
+ |
|
6603 |
+function select_all_comps(varargin) |
|
6604 |
+ |
|
6605 |
+if nargin == 1 |
|
6606 |
+ pre_h=findobj(get(0,'Children'),'Tag','Preprocess'); |
|
6607 |
+ set(0,'CurrentFigure',pre_h); |
|
6608 |
+ LOG=1; |
|
6609 |
+else |
|
6610 |
+ LOG=0; |
|
6611 |
+end |
|
6612 |
+ |
|
6613 |
+comp_names_h=getfield(get(gcf,'UserData'),'comp_names_h'); |
|
6614 |
+ |
|
6615 |
+set(comp_names_h,'Value',[1:length(get(comp_names_h,'String'))]); |
|
6616 |
+sel_comp; |
|
6617 |
+ |
|
6618 |
+if ~LOG |
|
6619 |
+ data=get(gcf,'UserData'); |
|
6620 |
+ data.LOG{length(data.LOG)+1}='% Select all components'; |
|
6621 |
+ data.LOG{length(data.LOG)+1}='preprocess(''sel_all_comps'',''foo'');'; |
|
6622 |
+ set(gcf,'UserData',data); |
|
6623 |
+end |
|
6624 |
+ |
|
6625 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
6626 |
+ |
|
6627 |
+function code=write_log_code(indices,arg1,arg2,arg3,arg4,arg5,arg6); |
|
6628 |
+ |
|
6629 |
+str=textwrap({num2str(indices)},500); |
|
6630 |
+ |
|
6631 |
+code{1}=sprintf('inds=[];'); |
|
6632 |
+for i=1:length(str); |
|
6633 |
+ code{i+1}=sprintf(' inds=cat(2,inds,[%s]);',str{i}); |
|
6634 |
+end |
|
6635 |
+str=cat(2,'preprocess(''''clip_data'''',''''',arg1,' ',num2str(arg2),' ',... |
|
6636 |
+ num2str(arg3),' ',num2str(arg4),... |
|
6637 |
+ ' ',num2str(arg5),' ',num2str(arg6),' '); |
|
6638 |
+code{length(code)+1}=cat(2,'eval(cat(2,',... |
|
6639 |
+ '''',str,'''',... |
|
6640 |
+ ',num2str(inds),'''''');''));'); |
|
6641 |
+ |
|
6642 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
... | ... |
@@ -0,0 +1,572 @@ |
1 |
+function aout = rep_utils(action,fmt,fid) |
|
2 |
+ |
|
3 |
+%REP_UTILS Utilities for print reports and report elements. |
|
4 |
+% |
|
5 |
+% aout = rep_utils(action,fmt,[fid]) |
|
6 |
+% |
|
7 |
+% Input and output arguments ([]'s are optional): |
|
8 |
+% action (string) action identifier |
|
9 |
+% (cell array) {action,par1,par2,...} |
|
10 |
+% the action identifier, followed by action |
|
11 |
+% parameters |
|
12 |
+% [fmt] (string) format of output, 'txt' by default |
|
13 |
+% [fid] (scalar) output file id, by default NaN in which |
|
14 |
+% case output is not written, only returned |
|
15 |
+% in aout |
|
16 |
+% |
|
17 |
+% aout (varies) output of the action |
|
18 |
+% |
|
19 |
+% Here are the actions and their arguments: |
|
20 |
+% 'printlines' par1 (cellstr) print par1, each cell on a new line |
|
21 |
+% 'header' par1 (string) print document header using par1 as title |
|
22 |
+% 'footer' print document footer |
|
23 |
+% 'compile' par1 (string) compile the named document (only 'ps' and 'pdf') |
|
24 |
+% 'inserttable' par1 (struct) print given table |
|
25 |
+% par2 (scalar) print lines between rows if par2=1 |
|
26 |
+% par3 (scalar) use longtable format (only 'ps' and 'pdf') |
|
27 |
+% 'printfigure' par1 (string) print current figure to file, par1 = filename |
|
28 |
+% par2 (scalar) used resolution (150 dpi by default) |
|
29 |
+% par3 (scalar) if par3=1, insert figure in minipage |
|
30 |
+% 'insertfigure' par1 (string) insert figure to report, par1 = filename of figure |
|
31 |
+% par2 (vector) size 2 x 1, size of figure relative to page size |
|
32 |
+% NaN = automatic scaling |
|
33 |
+% par3 (scalar) if par3=1, insert figure in minipage (only 'ps' and 'pdf') |
|
34 |
+% 'insertbreak' insert paragraph break into report |
|
35 |
+% |
|
36 |
+% See also REP_STATS. |
|
37 |
+ |
|
38 |
+% Contributed to SOM Toolbox 2.0, January 2nd, 2002 by Juha Vesanto |
|
39 |
+% Copyright (c) by Juha Vesanto |
|
40 |
+% http://www.cis.hut.fi/projects/somtoolbox/ |
|
41 |
+ |
|
42 |
+% Version 2.0beta juuso 020102 |
|
43 |
+ |
|
44 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
45 |
+%% input arguments |
|
46 |
+ |
|
47 |
+pars = {''}; |
|
48 |
+if iscell(action), |
|
49 |
+ if length(action)>1, pars = action(2:end); end |
|
50 |
+ action = action{1}; |
|
51 |
+end |
|
52 |
+ |
|
53 |
+if nargin<2 | isempty(fmt), fmt = 'txt'; end |
|
54 |
+global REPORT_OUTPUT_FMT |
|
55 |
+REPORT_OUTPUT_FMT = fmt; |
|
56 |
+ |
|
57 |
+if nargin<3 | isempty(fid), fid = NaN; end |
|
58 |
+ |
|
59 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
60 |
+%% action |
|
61 |
+ |
|
62 |
+aout = []; |
|
63 |
+printable = 0; |
|
64 |
+ |
|
65 |
+switch action, |
|
66 |
+case 'printlines', |
|
67 |
+ aout = pars{1}; |
|
68 |
+case 'header', |
|
69 |
+ switch fmt, |
|
70 |
+ case {'ps','pdf'}, aout = tex_startdocument(pars{1}); |
|
71 |
+ case 'html', aout = html_startpage(pars{1}); |
|
72 |
+ case 'txt', aout = cell(0); |
|
73 |
+ end |
|
74 |
+ printable = 1; |
|
75 |
+case 'footer', |
|
76 |
+ switch fmt, |
|
77 |
+ case {'ps','pdf'}, aout = tex_enddocument; |
|
78 |
+ case 'html', aout = html_endpage; |
|
79 |
+ case 'txt', aout = cell(0); |
|
80 |
+ end |
|
81 |
+ printable = 1; |
|
82 |
+case 'compile', aout = compiledocument(pars{1}); |
|
83 |
+case 'inserttable', aout = inserttable(pars{:}); printable = 1; |
|
84 |
+case 'printfigure', printfigure(pars{:}); |
|
85 |
+case 'insertfigure', aout = insertfigure(pars{:}); printable = 1; |
|
86 |
+case 'insertbreak', aout = insertbreak; printable = 1; |
|
87 |
+case 'joinstr', aout = joinstr(pars{:}); printable = 1; |
|
88 |
+case 'rulestr', aout = rulestr(pars{:}); printable = 1; |
|
89 |
+case 'c_and_p_str', aout = c_and_p_str(pars{:}); printable = 1; |
|
90 |
+case 'p_str', aout = p_str(pars{:}); printable = 1; |
|
91 |
+end |
|
92 |
+ |
|
93 |
+% if output file is given, print lines |
|
94 |
+if ~isnan(fid) & printable, |
|
95 |
+ if ~iscell(aout), aout = {aout}; end |
|
96 |
+ for i = 1:length(aout), fprintf(fid,'%s\n',fmtline(aout{i})); end |
|
97 |
+end |
|
98 |
+ |
|
99 |
+return; |
|
100 |
+ |
|
101 |
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
|
102 |
+%% subfunctions |
|
103 |
+ |
|
104 |
+%% simple formatter strings |
|
105 |
+ |
|
106 |
+function s = joinstr(cs, sep1, sep2) |
|
107 |
+ if nargin==1, sep1 = ', '; sep2 = ' and '; end |
|
108 |
+ if nargin<3, sep2 = sep1; end |
|
109 |
+ if isempty(cs), |
|
110 |
+ s = ''; |
|
111 |
+ elseif strcmp(sep1,'\n'), |
|
112 |
+ if size(cs,1)==1, cs = cs'; end |
|
113 |
+ s = char(cs); |
|
114 |
+ else |
|
115 |
+ s = cs{1}; |
|
116 |
+ for i=2:length(cs)-1, s = [s sep1 cs{i}]; end |
|
117 |
+ if length(cs)>1, s = [s sep2 cs{end}]; end |
|
118 |
+ end |
|
119 |
+ return; |
|
120 |
+ |
|
121 |
+function str = c_and_p_str(n,m) |
|
122 |
+ |
|
123 |
+ % return a string of form # (%), e.g. '23 (12%)' |
|
124 |
+ if n==m, p = '100'; |
|
125 |
+ elseif n==0, p = '0'; |
|
126 |
+ else p = sprintf('%.2g',100*n/m); |
|
127 |
+ end |
|
128 |
+ str = sprintf('%d (%s%%)',round(n),p); |
|
129 |
+ return; |
|
130 |
+ |
|
131 |
+function str = p_str(p) |
|
132 |
+ % return a string of form %, e.g. '12%' |
|
133 |
+ if round(p*100)>=100, p = sprintf('%3g',100*p); |
|
134 |
+ elseif abs(p)<eps, p = '0'; |
|
135 |
+ else p = sprintf('%.2g',100*p); |
|
136 |
+ end |
|
137 |
+ str = sprintf('%s%%',p); |
|
138 |
+ return; |
|
139 |
+ |
|
140 |
+function cs = rulestr(sR,cnames) |
|
141 |
+ global REPORT_OUTPUT_FMT |
|
142 |
+ switch REPORT_OUTPUT_FMT |
|
143 |
+ case {'ps','pdf'}, [leq,geq,infi,m,less,in] = deal('\leq','\geq','\inf','$','<','\in'); |
|
144 |
+ case 'html', [leq,geq,infi,m,less,in] = deal('<=','>=','Inf',' ','<',' '); |
|
145 |
+ case 'txt', [leq,geq,infi,m,less,in] = deal('<=','>=','inf',' ','<',''); |
|
146 |
+ end |
|
147 |
+ nr = length(sR); |
|
148 |
+ cs = cell(nr,1); |
|
149 |
+ fmt = '%.2g'; |
|
150 |
+ if nargin<2, cnames = {sR.name}; end |
|
151 |
+ if isempty(cnames), cnames = cell(nr,1); cnames(:) = {''}; end |
|
152 |
+ for i=1:nr, |
|
153 |
+ low = sR(i).low; |
|
154 |
+ high = sR(i).high; |
|
155 |
+ switch isfinite(low) + 2*isfinite(high), |
|
156 |
+ case 0, cs{i} = [cnames{i} ' ' 'any']; |
|
157 |
+ case 1, cs{i} = [cnames{i} ' ' m geq sprintf(fmt,low) m]; |
|
158 |
+ case 2, cs{i} = [cnames{i} ' ' m less sprintf(fmt,high) m]; |
|
159 |
+ case 3, cs{i} = [cnames{i} ' ' m in '[' sprintf(fmt,low) ',' sprintf(fmt,high) ']' m]; |
|
160 |
+ end |
|
161 |
+ end |
|
162 |
+ return; |
|
163 |
+ |
|
164 |
+%% print figure |
|
165 |
+ |
|