analyzeParms

0001 'results in allCV.msf allCV.svd allCV.svdproj allCV.raw'
0002 
0003 bins = 0.2:0.01:0.8;
0004 
0005 subplot(4,1,1);
0006 hist(mean(allCV.raw.cvresults(:,end-4:end),2),bins)
0007 title('Raw EEG');
0008 
0009 subplot(4,1,2);
0010 hist(mean(allCV.msf.cvresults(:,end-4:end),2),bins)
0011 title('MSF Bases');
0012 
0013 subplot(4,1,3);
0014 hist(mean(allCV.svd.cvresults(:,end-4:end),2),bins)
0015 title('SVD Bases');
0016 
0017 subplot(4,1,4);
0018 hist(mean(allCV.svdproj.cvresults(:,end-4:end),2),bins)
0019 title('SVD Projections');
0020 xlabel('Fraction Test Samples Correct');
0021 return;
0022 
0023 
0024 
0025 subplot(4,1,1);
0026 hist(mean(allCV.raw.cvresults(:,end-4:end),2),0.2:0.05:0.8)
0027 
0028 allparms = allresults.msf.allResults;
0029 
0030 % allparms is nTestTrials x nParmSets
0031 
0032 %mat = matrixOfAllResults(allresults.msf.allResults);
0033 
0034 best = bestByTestTrial(allresults.msf.allResults,1); %1 to print
0035 multiPlotParms(allresults.msf.allResults,...
0036     {'TestTrial',5,'winSize',125,'winShift',32},'firstMode','nModes','nlags');
0037 
0038 
0039 figure
0040 best = bestByTestTrial(allresults.raw.allResults,1); %1 to print
0041 multiPlotParms(allresults.raw.allResults,{'TestTrial',5},'nlags');
0042 
0043 
0044