Hi,
I see I am really bad at indexing so if someone could tell me some general rules (but less general than in online tutorials) I would be grateful.
*Subscript indices must either be real positive integers or logicals.
Error in PL2ex1 (line 4) meandata = mean(nonoise.data_out);*
File to read was uploaded.
%PL2ex1
nonoise = load('verg1');meandata = mean(nonoise.data_out);trials = repmat(meandata, 1000, 1);%add noise with normal distribution (randn) and repeat
sigma = randn(1);for i = 1:1000 trials(i) = trials(i) + randn(1)*randn(size(trials(i)));end%compare plots and mean of trials
x = linspace(0, 10); % define axis x
figuresubplot(3,3,1)n =(randi(1000));plot(x, trials(n))title(sprintf('Trial %d', n))subplot(3,3,2)n =(randi(1000));plot(x, trials(n))title(sprintf('Trial %d', n))subplot(3,3,3)n =(randi(1000));plot(x, trials(n))title(sprintf('Trial %d', n))subplot(3,3,4)n =(randi(1000));plot(x, trials(n))title(sprintf('Trial %d', n))subplot(3,3,5)n =(randi(1000));plot(x, trials(n))title(sprintf('Trial %d', n))subplot(3,3,6)n =(randi(1000));plot(x, trials(n))title(sprintf('Trial %d', n))subplot(3,3,7)n =(randi(1000));plot(x, trials(n))title(sprintf('Trial %d', n))subplot(3,3,8)n =(randi(1000));plot(x, trials(n))title(sprintf('Trial %d', n))%mean
subplot(3,3,9)means = zeros(1,400);for i = 1:400 means(1,i) = mean(trials(:,i));endplot(x, means)title('Means')
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