if numtests > 1
figure1 = figure('Color',[1 1 1]);
subplot(141); bar(ampsCAP(1,:)); title([int2str(Cs(1,1)) ' Hz']);
subplot(142); bar(ampsCAP(2,:)); title([int2str(Cs(2,1)) ' Hz']);
subplot(143); bar(ampsCAP(3,:)); title([int2str(Cs(3,1)) ' Hz']);
subplot(144); bar(ampsCAP(4,:)); title([int2str(Cs(4,1)) ' Hz']);
end
could be written more succinctly as
if numtests > 1
figure1 = figure('Color',[1 1 1]);
for i=1:4
subplot(1,4,i); bar(ampsCAP(i,:)); title([int2str(Cs(i,1)) ' Hz']);
end
end
On the follow-up and towards the question--what happened to the eight values per frequency?
To separate by modulation value, use subarray indexing to pick the columns wanted for each--if there are just the four conditions outlined above, then
for i=1:4
subplot(1,4,i);
bar(reshape(ampsCAP(i,:),2,[]).','grouped');
set(gca,'XTickLabel',{'No noise';'Noise'})
title([int2str(Cs(i,1)) ' Hz']);
end
end
ADDENDUM
Had to dash earlier; give the following a go...again assumes there's a 4x4 array by frequency by row, the four categories outlined above by column...
x=categorical([1 2],[1 2],{'Quiet';'Noisy'});
m=[100 50];
for i=1:2
subplot(1,2,i);
i1=2*i-1;
bar(x,[ampsCAP(:,i1:i1+1).','grouped');
legend(num2str(Cs(:,1), '%d Hz');
title(num2str(m(i),'%d% Modulation')
end
CAVEAT Air code, untested... :)
