Hello everyone
I have a dataset named chan56 which is 1619936x1 and a vector called markers which is 1x202. The vector markers has the events of the dataset chan56 and i want to split chan56 into subets that contain -1200 indexes from each event until +300. I tried
Data = []
DataMatrix =[zeros(1,length(markers)*1500)];
for n =1 :length(chanPOz)
for i =1:length(markers)
if markers(i) == chanPOz(n)
T = chanPOz(n);
Data = chanPOz(n-1200:n+300);
DataMatrix = [DataMatrix DataMatrix+Data];
end
end
end
But i cant take the DataMatrix

5 comentarios

Akira Agata
Akira Agata el 31 de En. de 2018
I'm confused a little bit...
Could you provide a simple example ??
Jos (10584)
Jos (10584) el 31 de En. de 2018
I think you want to create a matrix with 202 rows (=number of markers). Each row contains the data from the chan56 around this marker.
What does an element in the vector markers represent? An index into chan56?
Greg Athanasiadis
Greg Athanasiadis el 31 de En. de 2018
Editada: Guillaume el 31 de En. de 2018
The elements in markerks contain the timestamps so the first element contain the 27965th point in chanPOz. I saw that i ve made a serious mistake in my code. I changed it to
newData = [];
Data =[];
for i = 1:length(chanPOz)
for n =1 :length(markers)
if i == markers(n)
Data = chanPOz(i-1200:i+300);
newData =[newData Data];
end
end
end
I want to create a new vector newData with every 1500 points near the timestamp of vector markers. [-1200....marker(i)......+300]
Jos (10584)
Jos (10584) el 31 de En. de 2018
I am a little confused by the if statement. Am I right to assume that each value of markers is a direct index into chanPOZ?
Greg Athanasiadis
Greg Athanasiadis el 31 de En. de 2018
Editada: Greg Athanasiadis el 31 de En. de 2018
Yes indeed. As an example Assume that i have my data
data = [ 1 5 6 12 15 18 16 12 10 17 25 31 35 36 35 33 32 24 29 35 40 36 33 25]
the vector markers has the indexes of events 18-36-40
markers = [6 14 21]
so i want a subset with [markers(i)-2 markers(i)+1]
In my original dataset i want [markers(i)-1200 markers(i)+300]
first dataset= [-1200th -1199th -1198th ......markers(1).....+299 +300th]
Second dataset= [-1200th -1199th -1198th ......markers(2).....+299 +300th]
...... Last dataset= [-1200th -1199th -1198th ......markers(n).....+299 +300th]

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 Respuesta aceptada

Jos (10584)
Jos (10584) el 31 de En. de 2018
This is what you're after, I think. No need for a loop over each point in chanPOz
N = numel(markers) ;
% pre-allocate the result:
newData = zeros(N, 1501) ; % 1 extra !! [x-1200:x+300] are 1501 values
% loop over each marker
for n = 1:N
idx = markers(n) ; % the n-th index into chanPOz
newData(n,:) = chanPOz(idx-1200:idx+300); % get the data and store this in the n-th row
end

1 comentario

Greg Athanasiadis
Greg Athanasiadis el 31 de En. de 2018
Editada: Greg Athanasiadis el 31 de En. de 2018
Thank you both for your answers!!!!
I ran Jos solution because i have Matlab 2015b but i had problems with the limits so i add an if statement so the loop started from 1200 and ended on N-300. Matlab ran the loop but the matrix new Data was still with zeros

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Más respuestas (1)

Guillaume
Guillaume el 31 de En. de 2018
Even a single loop is not needed. A double loop is a complete waste of time.
Assuming R2016b or later,
assert(all(markers > 1200 & markers < numel(chanPoz) - 300), 'some markers too close to the edges');
indices_to_extract = markers(:) + (-1200:300); %create a matrix of indices
extracteddata = chanPoz(indices_to_extract.'); %extract relevant data as a matrix
Each column of extracteddata is the -1200 to 300 points around the corresponding marker. If you do want it as a vector (but why?) then you can then do:
extracteddata = reshape(extracteddata, 1, []);
If you're on a version earlier than R2016b, then the indices_to_extract line becomes
indices_to_extract = bsxfun(@plus, markers(:), -1200:300);

3 comentarios

Jos (10584)
Jos (10584) el 31 de En. de 2018
+1 I still need to get used to the "new" expansion behaviour of + ...
Greg Athanasiadis
Greg Athanasiadis el 31 de En. de 2018
I got Error using + Matrix dimensions must agree.
Guillaume
Guillaume el 31 de En. de 2018
Editada: Guillaume el 31 de En. de 2018
I clearly wrote:
If you're on a version earlier than R2016b, then the indices_to_extract line becomes
indices_to_extract = bsxfun(@plus, markers(:), -1200:300);

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