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How perform bootstrap balanced resampling of a dataset?

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Basically, I'm trying to perform a bootstrap balanced resampling of a dataset K times, where data is an [N*1] vector of data samples, and the output should be an [N*K] matrix of bootstrap resampled data, where data d1 to dN each appear (randomly dispersed) exactly K times. I figured out how to do the resampling by using the unidrnd function, but I don't know how to make the data sets randomly appears K times. Please help.

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Accepted Answer

Jeff Miller
Jeff Miller on 8 Mar 2020
Edited: Jeff Miller on 8 Mar 2020
I'm not sure...is this what you want?
N = 7; % Small values of N an d K to make it easier to see what it does.
K = 5;
data = rand(N,1);
kcopies = repmat(data,K,1);
shuffled = kcopies(randperm(numel(kcopies)));
output = reshape(shuffled,N,K)

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Yuchen Song
Yuchen Song on 8 Mar 2020
Yes! That's exactly what I'm looking for! Thank you so much!

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