Trying to randomly permute a time series, error with time point
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Dear Matlab,
I have an EEG signal, which I ran through wavelet convolution to produce a 3D matrix of time-frequency values, that is:
1 X 68(frex) X 4000(time points)
GOAL: Now the next step is to randomly slice the tf matrix and reoder time zero (and effectively reorder the map, to 'shuffle' it), by running the tf map/variable through 1000 rounds of permutations.
(see code below here, and attached tf mat file to run it):
% PERMING power values
num_iterations = 1000;
permuted_results = zeros(num_iterations,length(frex),length(times2));%zeros(1,num_iterations);
for ni=1:num_iterations
% randomly resort power values
cutpoint = times2(randi(numel(times2)));
permuted_results(ni,:,:,:) = tf(:,:,[ cutpoint:end 1:cutpoint-1 ]);
end
PROBLEM: when I run the for loop, I get this error:
Index in position 3 is invalid. Array indices must be positive integers or logical values.
Is it because the time series, which goes from -1000 to 3000 milliseconds, is it the negative values in there?
Thanks very much in advance for any help/guidance!
Best,
Joanne
2 comentarios
"Is it because the time series, which goes from -1000 to 3000 milliseconds, is it the negative values in there?"
Yes.
load('TFsample.mat')% PERMING power values
num_iterations = 1000;
permuted_results = zeros(num_iterations,length(frex),length(times2));%zeros(1,num_iterations);
for ni=1:num_iterations
% randomly resort power values
cutpoint = times2(randi(numel(times2)))
permuted_results(ni,:,:,:) = tf(:,:,[ cutpoint:end 1:cutpoint-1 ]);
end
Joanne Hall
el 2 de Mayo de 2023
Respuesta aceptada
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