Bootstrapping consists in selecting a subset of the data. That sounds like a job for randperm()
a = randi(60,1,50);
subsetSize = numel(a) - 1; %How many values in your bootstrap
numSamples = 10; %number of simulations
your_data = ones(numSamples,subsetSize); %one sample per row
for ii = 1:numSamples
your_data(ii,:) = a(randperm(subsetSize));
end
Note that you could also generate all possible subsets:
allSets = nchoosek(1:numel(a),subsetSize);
your_data = a(allSets);
And select your data from it, if you want to avoid repeated values.
