Let x be your vector of data which has to beĀ bootstrapped. For each instance of the loop write:

`x = x(floor(rows(x)*rand(rows(x),1))+1,:); % bootstrap observations`

Now we have a matrix with the same number of rows and columns, but with re-sampled data with replacement. A one line bootstrap! (Modified code from John Cochrane)