Select columns from a matrix by treshold value

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i have some data stored in a 7200*600 matrix (600 could also be 300 or 1000 or something in this range). Somewhere in the middle there are some relevant columns (about 20) which contains higher values than the other. I would like to extract these columns for some calculation (row mean only for these columns etc.). So far i do this by:
M = mean(data);
B = (M > min(M)*1.1); % Treshold of 110 %
data_new = B.*data;
data_new(:,all(data_new == 0))=[]; % Removes columns if the entire column is zero
Then i can calculate the mean like:
data_new_mean = mean(data_new(:,3:end),2); % First two columns are suspect data
This works fine so far but i'm looking for a way to get the indices and work with the original matrix instead of building a new one. In the next step i have to extract the data in the following columns (If the relevant columns before were 200, 210, 220... for example, i need 201, 211, 221... in the next step) and that's why the first way isn't convenient anymore. Do you have some ideas?
Walter Roberson
Walter Roberson on 30 Aug 2021
M = mean(data);
B = (M > min(M, 1)*1.1);
mask = any(M >= B, 1);
mask can now be used as a column index.

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Accepted Answer

Esma Hadu
Esma Hadu on 13 Oct 2021
Thank you all,
i just did it via
Y = circshift(B,-1);
which also worked fine for me. Then i could use Y insteat of B to select the columns x+1...

More Answers (1)

Matt J
Matt J on 30 Aug 2021
Edited: Matt J on 30 Aug 2021
find( any(M > min(M)*1.1 ,1) )

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