plotDecodePerformance.m (291ee33) - SVMCrossVal.git

plotDecodePerformance.m

function plotDecodePerformance(varargin)
% plotDecodePerformance(timeline,decodePerformance,nClasses,rawData)

if(nargin==1)
    inputStruct       = cell2mat(varargin(1));
    
    psthStart         = inputStruct.psthStart;
    psthEnd           = inputStruct.psthEnd;
    nClasses          = inputStruct.nClasses;
    decodePerformance = inputStruct.decodePerformance;
    frameStart        = inputStruct.frameShiftStart;
    frameEnd          = inputStruct.frameShiftEnd;
    psth              = inputStruct.rawTimeCourse;
    SubjectID         = inputStruct.SubjectID;
    smoothed          = inputStruct.smoothed;
    
    
elseif( nargin == 7)
    
    psthStart   = cell2mat(varargin(1));
    psthEnd     = cell2mat(varargin(2));
    nClasses    = cell2mat(varargin(3));
    decodePerformance = cell2mat(varargin(4));
    frameStart  = cell2mat(varargin(5));
    frameEnd    = cell2mat(varargin(6));
    psth        = varargin(7);
    psth        = psth{1};
    SubjectID   = '';
    smoothed    = '';
end

f = figure;
    subplot(2,1,1);
    hold on;
      for voxel = 1:size(psth,2)
          for label = 1:size(psth{voxel},2)
              psthData = [];
              for timepoint = 1:size(psth{voxel}{label},2)
                  psthData = nanmean(psth{voxel}{label})+voxel/100;
              end
              plot(psthStart:psthEnd,psthData,[colorChooser(voxel), lineStyleChooser(label)]);
          end
      end
    axis([psthStart psthEnd -2 5])
    hold off
    
    subplot(2,1,2)    
    hold on;
    
    chanceLevel = 100/nClasses;
    goodPredictionLevel = chanceLevel*1.5;
    plot([psthStart psthEnd],[chanceLevel chanceLevel],'r');
    plot([psthStart psthEnd],[goodPredictionLevel goodPredictionLevel],'g');
    axis([psthStart psthEnd 0 100])
    
    plot(frameStart:frameEnd, decodePerformance ,'b');

hold off;

title = sprintf('Subject %s, over %g voxel, smoothed %g',SubjectID,size(psth,2),smoothed);
    set(f,'Name',title);
    display(sprintf('%s',title));

end

function color = colorChooser(n)
    switch (mod(n,8))
    case 0
        color = 'y';
    case 1
        color = 'r';
    case 2
        color = 'b';
    case 3
        color = 'g';
    otherwise
        color = 'k';
    end
end

function style = lineStyleChooser(n)
switch(mod(n,4))
    case 0
      style = '--';
    case 1
        style = '-';
    case 2 
        style = ':';
    case 3
        style = '-.';
end
end

SVMCrossVal.git

killed unnecessary assignin raw axis fixed value added smooth option